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M2180-759 - IBM Connectivity and Integration Sales Mastery v1 - BrainDump Information

Vendor Name : IBM
Exam Code : M2180-759
Exam Name : IBM Connectivity and Integration Sales Mastery v1
Questions and Answers : 36 Q & A
Updated On : December 13, 2018
PDF Download Mirror : M2180-759 Braindumps
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M2180-759 exam Dumps Source : IBM Connectivity and Integration Sales Mastery v1

Test Code : M2180-759
Test Name : IBM Connectivity and Integration Sales Mastery v1
Vendor Name : IBM
Q&A : 36 Real Questions

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IBM IBM Connectivity and Integration

IBM App join Wins a Spark overseas 2017 Design Award | killexams.com Real Questions and Pass4sure dumps

The IBM Cloud design group is delighted that our design work for IBM App connect has been recognized in the utility application adventure category of this year’s Spark Design Awards™. here's all the more astounding due to the fact that the eleventh annual foreign Spark Awards software changed into essentially the most aggressive in its heritage, with over 500 entries submitted.

Following on from the prestigious purple Dot Design Award that IBM gained for our IBM information Science event previous in the yr, this latest award is additional awareness of the realm-classification design work that's being produced by way of IBM Design today.

The application integration context

IBM App join is a comparatively new offering, which has been designed from scratch over the closing couple of years. IBM was already a recognized leader in the integration middleware area, however growing the hybrid cloud-based App join providing become the next logical step in broadening our integration platform, in order that it continues to satisfy the enormous and sometimes complex integration wants of twenty first century corporations.

The App connect dashboard showing distinctive information flows

Integrating existing purposes has many advantages, including assisting users make business selections with extra suggestions and hence better confidence. Being in a position to immediately connect purposes and facts sources can also open up new company alternatives — that could now be realized a great deal greater quickly than changed into possible earlier than.

one of the many ways in which IBM App join is assisting our purchasers day-by means of-day

up to now, corporations necessary extremely-skilled IT professionals to create customized code to connect their disparate functions. This was a massive pain point for business leaders, as connecting applications one by one during this manner changed into a tricky, expensive, and time-drinking technique — and the job turned into not ever complete as there are always new applications being brought.

Our multi-position primarily based integration platform solution

IBM App connect operating on the IBM Cloud gives a beautiful solution for this difficulty house, as now a couple of distinct person varieties can operate a number of integration tasks all in the one product. App join allows clients to join returned-conclusion techniques, internet, and mobile purposes wherever they dwell — even if on-premises or in a personal or public cloud.

This capability that a non-technical company user can comfortably decide upon one of the crucial many pre-built connectors or integration templates to instantly join information from one usual software to a different. as an instance, a enterprise consumer might install a connection so that new leads entered within the enterprise’s Salesforce account move directly into the company’s Marketo advertising database.

one of the pre-described integration templates attainable in App connect

Then for greater technical clients, desirous to configure extra advanced data flows and transformations, App connect offers a large latitude of subtle integration capabilities. for instance, the API movement editor allows for extra skilled integration specialists to outline bespoke integrations, where statistics can also be routed from one source to another, and modified and enriched en route.

The versatile App connect API circulate editor, where integration power clients can enrich and radically change facts because it flows from one software to an additional. The design problem

From a design viewpoint, the IBM App join mission provided an exhilarating possibility to re-imagine the integration experience for brand spanking new clients, frequently working in new enterprise contexts. We firmly trust in the a must have function of person research in achieving an outstanding product design, so we invested closely in conducting thorough person analysis into this certain enterprise space. because the project advanced, we persisted to apply the IBM Design pondering framework and contain sponsor clients to assist us investigate our hypotheses, and to benefit beneficial feedback on our designs.

it's in huge part due to the design team’s different attitude, consideration to aspect and persisted focus on offering an excellent person experience for our valued clientele that has enabled us to bring this award-profitable product.


IBM Opens Up collection of protection, AI and Cloud Initiatives | killexams.com Real Questions and Pass4sure dumps

First identify: closing identify: electronic mail address: Password: confirm Password: Username:

Title: C-level/President manager VP personnel (associate/Analyst/etc.) Director

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IBM pronounces Cloud-based mostly group Platform for Cyber safety functions | killexams.com Real Questions and Pass4sure dumps

IBM protection connect with permit Open specifications-based Collaboration on AI Platform Backed by means of more than a Dozen companies

CAMBRIDGE, Mass., Oct. 15, 2018 /PRNewswire/ -- IBM (NYSE: IBM) nowadays introduced a new cloud-primarily based community platform for cyber safety applications. IBM security join is the primary protection cloud platform developed on open federated applied sciences, with AI at its core, to analyze safety information across previously unconnected equipment and environments. 

IBM organization logo. (PRNewsFoto/IBM agency) (PRNewsFoto/) (PRNewsfoto/IBM)

more

An IBM analysis of consumers' environments found that on standard, cybersecurity teams are the use of over 80 distinct protection products from forty different carriers. Our research also indicates less than 20 % of the elements in these on-premise tools are used and may no longer provide the outcomes consumers are expecting due to integration and complexity challenges.  

by means of integrating security records from IBM security products with an ecosystem of safety vendors, consumers, and business companions, IBM safety join is designed to help enrich efficiency and collaboration as teams safeguard against cybercrime. IBM security connect will permit clients to follow computer getting to know and AI, including Watson for Cyber protection, for evaluation to support them determine threats or risks and improve the efficacy and effectivity of risk detection and response. clients can design and installation new personalized and finished solutions to address security outcomes, akin to SOC Operations workflows or Digital have confidence. 

IBM safety join will lengthen the prosperous set of capabilities from IBM's safety items, by means of potent integration capabilities to connect data, applications and tools from an ecosystem of providers, made feasible via the cloud.   

"The boom of cybersecurity know-how and data combined with a growing skills scarcity is growing an surprising degree of complexity for safety groups," talked about Marc van Zadelhoff, customary manager, IBM safety. "Leveraging the vigor of the cloud, we are able to now bring together tools, information and people without high priced customization and integration initiatives. statistics federation via IBM security connect helps supply security authorities improved safety visibility and efficiency without the hassle of migrating statistics or overly advanced product integrations."

a brand new, Open approach to Cloud safety

IBM security connect will support address one of the vital greatest protection challenges nowadays by the use of open necessities, which may help pave the manner toward collaborative innovation. as it is constructed on open requirements, it might probably help corporations build exciting microservices, improve new security purposes, integrate existing protection solutions, and leverage facts from open shared features. 

Key functions encompass: Open safety statistics integration functions for sharing and normalizing probability intelligence, federated statistics browsing throughout on-premise and cloud records repositories and protection options, and precise-time sharing of protection indicators/activities and insights that may also be leveraged by means of any app or solution built-in with the platform. 

IBM safety connect will become the domestic of IBM's latest safety App trade and all IBM security applications developed on a platform powered by way of IBM Cloud, but wholly appropriate with different cloud providers.  IBM protection will additionally champion the advent of new open standards in burgeoning areas such because the sharing of response playbooks and analytics patterns and will actively put money into setting up new open source projects that align with these efforts.

Story Continues

IBM security's dedication to openness additionally potential that many latest open safety and protocol requirements are leveraged throughout the platform, equivalent to STIX™ (Structured danger information eXpression) and TAXII™ (trusted computerized alternate of Indicator suggestions). The IBM protection project STIX-Shifter, which is publicly obtainable on GitHub, contains an open source library which makes it possible for utility to connect to products that condominium facts repositories the use of STIX Patterning, and return effects as STIX Observations.  the use of these open requirements for connecting to any records source mixed with IBM protection's already powerful security analytics and incident response capabilities helps shoppers to benefit broader visibility and become aware of threats and hazards that were in any other case overlooked due to disconnected facts throughout complex hybrid environments. 

IBM protection connect's initial set of purposes and features will enable clients to immediately connect to distinct safety items or records repositories to immediately federate facts for the purpose of prioritizing and responding to threats. This revolutionary approach of federating statistics allows for consumers to go away their records the place it is, as opposed to constructing expensive facts lakes, that can complicate or outright evade safety statistics evaluation.

IBM security join will also be a vital part of IBM security functions offerings both as a consumer and a contributor of latest innovation; together with advancements in voice-enabled AI, computing device gaining knowledge of for safety threat scoring, global threat analytics, orchestration playbooks and mobile-enabled MSS applications.  IBM protection functions will leverage the open power of IBM protection connect with boost deep and valuable integrations throughout its accomplice ecosystem to deliver stronger value for its international consumers.

Addressing Complexity in Cybersecurity Operations

Designed to carry "community-pushed" protection strategies, IBM security connect will operate as an open platform with an open building neighborhood.  As a part of ultra-modern announcement, a major number of expertise companions and world equipment integrators including Cisco, Capgemini, Carbon Black, check factor, CrowdStrike, EY, ForeScout, Forcepoint, Fortinet, McAfee, Qualys, Smarttech, Symantec, Tenable, style Micro, and VMware have dedicated to integrating with IBM safety join so as to assist deliver greater records sharing throughout protection companies for our joint shoppers.  lots of these vendors will additionally make contributions to building integrated applications on IBM security join.  IBM already has tons of of pre-constructed apps constructed through IBM and partners attainable by the use of the IBM security App change for integrating at the product degree. as soon as obtainable, these extra integrations might be developed into IBM protection join within months of launch, widening the reach of the platform to aid manage compliance and handle threats.

as an example, probably the most first options being demonstrated through shoppers will focal point on threat Operations Workflow. This solution is designed to empower security analysts to proactively determine, investigate, and reply to their most crucial threats from a single, cloud-based answer. risk Operations Workflow integrates seamlessly through open connectors to QRadar (each on-premise or cloud), as well as other SIEMs and endpoint options. by way of leveraging open SDKs, other protection records ponds or lakes akin to Hadoop, and point protection items may also be supported to provide a federated view and workflow for protection analysts throughout prior to now unintegrated and siloed items.    

built in expertise and abilities

With the neatly-documented capabilities challenge the security business is dealing with, IBM safety join will also characteristic digitized abilities from IBM's four,000+ global security practitioners to supply highest quality practices and assistance on a way to put in force safety and risk management options. The pre-integrated apps allow users to create convenient-to-use standard workflows across varied purposes, so groups can focus on solving protection concerns as an alternative of struggling to integrate dozens of protection items. additionally, IBM safety has committed 50 developers toward construction of the group, the place security practitioners can collaborate and share integrations.

IBM security connect is designed to make gaining access to IBM X-force safety functions talents even easier for shoppers in any respect stages; including choices and talents in X-force crimson security testing, Managed safety features and Incident Response capabilities.

IBM security connect is anticipated to be available in 1Q 2019.

About IBM safety 

IBM security presents one of the crucial superior and built-in portfolios of commercial enterprise safety items and functions. The portfolio, supported by using world-well-liked IBM X-drive® research, allows companies to without difficulty control chance and shelter in opposition t rising threats. IBM operates one of the vital world's broadest safety research, building and beginning groups, monitors 60 billion safety activities per day in additional than one hundred thirty nations, and has been granted more than eight,000 security patents global. For more tips, please assess www.ibm.com/protection, observe IBMSecurity on Twitter or consult with the IBM safety Intelligence blog. 

CONTACT: Dillon Townsel dillon.townsel@ibm.com 512-571-3455

View usual content to down load multimedia:http://www.prnewswire.com/news-releases/ibm-pronounces-cloud-based-community-platform-for-cyber-security-functions-300730681.html




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M2180-759 exam Dumps Source : IBM Connectivity and Integration Sales Mastery v1

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IBM Connectivity and Integration Sales Mastery v1

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Typical Usages of Appliances | killexams.com real questions and Pass4sure dumps

This chapter is from the book 

While the appliances are quite versatile and can thus be used to solve many different types of problems (and implementers have been quite creative in this regard), we find there are a few common use cases that are typical. These generally focus around security, performance, cost savings, and integration. In the following sections, we discuss each of these in more detail.

Solving Security Problems

Let’s think about what it would take to deploy a software-based proxy product in the DMZ. Each of the layers of the ‘typical server’ shown in Figure 1-2 requires specialized skills to install and maintain. Particularly for DMZ deployments, the server hardware itself must be hardened. In highly secure environments, this can involve removing any components that might allow information to be taken from the server, such as USB ports and writeable CD/DVD drives. The operating system must also be hardened, removing components such as telnet and sendmail.3 Often, this results in other layers of the software stack not installing or operating properly! If you are successful in installing the application software stack, it must be hardened as well. These are common requirements for high security environments such as financial companies, intelligence services, and military applications.

Although software-based DMZ components can be hardened successfully, it is a lot of work. Compare this with the simplicity of installing a dedicated, highly secure hardware appliance, purpose built to do a few things well with fairly simple administrative interfaces, as shown in Figure 1-3.

The appliances are hardened out of the box. For example:

  • They are designed with security in mind from the ground up, before anything else.
  • They are shipped secure by default; virtually every feature is disabled, including the network adapters and administrative interfaces (except for the serial port used to do initial bootstrap). If you want something, you must turn it on!
  • They have an encrypted file system.
  • They have no Java, print services, or shareable file system.
  • They are tamper-proof—backing out the screws on the case disables the appliance.
  • They have specialized secure handling of crypto keys and certificates.
  • They have an embedded operating system, not prone to known exposures of common OSs.
  • They reject messages by default, unless specifically accepted by configured policies.
  • The age-old rule for the DMZ is to terminate client connections there and then proxy connections to the backend from the trusted DMZ servers. However, in the field we find even more stringent security policies that do not warrant any traffic (even proxied through these secure intermediaries) to the backend until the client is authenticated and authorized. This is referred to as perimeter security and is an increasingly common requirement, driving sales of DMZ security products such as TAM. Later, we show how DataPower appliances can also solve this problem.

    Another requirement for DMZ components is to virtualize or hide the implementation details of backend servers and applications. Typical DMZ products interact only with the protocol layer of the network stack, so they can hide things like hostname/IP, ports, and URIs, whereas XML-centric application proxies such as DataPower appliances can virtualize on a much more intelligent basis and can analyze the entire message stream.

    A strong reason for using these types of appliances is the burgeoning risk of systems becoming compromised by XML-based threats. Just as once upon a time we felt HTTP to be innocuous, today we are susceptible to underestimating what can be done by virtue of XML. In Chapter 20 “XML Threats,” we show how entire infrastructures can be brought down using small, simple, well-formed XML files. Only hardware appliances have the processing power to check for the many variations of XML threats.

    Another common security problem is a mismatch in the specification levels or credential formats of various technologies across large corporate IT infrastructures. For example, consider a marketing IT silo running on Microsoft®.NET using WS-Security 1.0 and SPNEGO credentials for identity and a manufacturing silo using IBM WebSphere Application Server (WAS), WS-Security 1.1, and LTPA credentials for identity. In today’s ESB-driven SOA architectures, a single transaction may have to pass through both environments, so this presents challenges. Because DataPower appliances incorporate a wide range of the latest specification implementations and credential formats, they can be used to transform messages and credentials to fit the target each step of the way. Notice that this can be used to achieve cross-platform single-signon (SSO), although that also depends on other factors such as having a common registry.

    To Lower Total Cost of Ownership (TCO)

    Refer back to the scenario in Figure 1-2, where there are numerous skills required to install and maintain a typical server and software stack. Now think of this in terms of the staff required and cost to the organization. With self-contained appliances where the operating system and file system characteristics are irrelevant from an administrative perspective, this becomes much less work. The function of the appliances is dedicated and streamlined, hence the administrative tasks and interfaces tend to be as well. For example, in the scenario in Figure 1-2, you have to continually install fixes and updates at every layer of the stack. However, for appliances, you typically do this by uploading a small firmware update and rebooting, which takes only minutes. In the server scenario, you have multiple different administrative consoles to manage the layers of the stack; with the appliances, you have only one console.

    The TCO return does not solely manifest itself in the setup and administration of the platform. Consider the silo example in the prior section—where various areas of a corporate IT infrastructure are running Web services across different platforms, such as those from IBM, Microsoft, and BEA. If the corporation has one set of policies for security and SLM that need to be implemented across all these platforms, then it must be done multiple times, by multiple people, with skills on each platform. Not only is the configuration redundant and therefore expensive, but this problem is repeated each time it needs to change, and there is always the risk that the policy will not be implemented exactly the same on each platform, which can lead to security holes or application failures. This is depicted in Figure 1-4.

    Figure 1-4

    Figure 1-4 Redundant administration versus simplified appliance model.

    A more concrete example can be implemented by creating a single service that acts as a Web service proxy on the DataPower appliance, importing the WSDL files for the Web services providers on each of those backend platforms, and then applying the security and SLM policies on the proxy, thereby gaining policy definition and enforcement one time for all platforms. All this is based on standards that we discuss later, not only Web services itself, but also the accompanying standards such as WS-Security for security, WS-Policy for policy definition, WS-Addressing for endpoint resolution, and WS-Management and WSDM4 for management.

    Enhancing Performance

    XML is the foundation on which many modern architectures are built—it has evolved into SOAP for Web services and is found across the breadth and depth of the SOA stack and related specifications. Over time, it has evolved from a simple markup language to something quite complex and sophisticated. Of course, the problem as far as performance is concerned is that XML is fairly easy for humans to read, but not for computers. It is a verbose representation of data and typically requires significant resources in terms of CPU power and memory to process. This overhead is typically found in parsing the XML document into an in-memory representation and in validating the XML against its schema file.5

    Consider the impact of parsing and validating the storm of XML/SOAP documents that hit your systems during peak production levels. Now consider the overhead of security that may be embedded in those messages—validating client identities against LDAP servers, verifying digital signatures, and decrypting encrypted data. This requires a tremendous amount of processing power and time and robs precious cycles away from what your backend systems should really be doing—focusing on transactional business logic! Also consider the absolute waste of expending these cycles for messages that come in badly formed, with schema violations or illegitimate security issues. The cycles expended on processing them and handling the errors are wasted. Figure 1-5 shows a graph demonstrating the CPU overhead of various common tasks. (Notice the parsing level is low here—the main hit when parsing is memory utilization.) Notice the impact of security operations. This can be helped somewhat with hardware-assisted acceleration, but the cost-benefit of hardware acceleration boards is often debated. Also note that abusing these security features to consume CPU resources is one way of mounting attacks.

    A grand solution for this, of course, is to use appliances to do all that heavy lifting at near wire speed. As you will see when we discuss the appliance characteristics, they are amazingly fast and can handle these tasks at orders of magnitude faster than software-based solutions running on standard servers. Now focus on another scenario—one where the appliance makes sure that only clean traffic gets to the backend systems. Imagine the huge differential in available processing power on the backend if the validation and security tasks are done by the time the traffic gets there. The appliances can validate schemas, verify signatures, decrypt the data, and more. This can often result in huge performance returns, depending on considerations such as message sizes, cipher strengths, network latency, and so forth.

    Speaking of message sizes, this is often another major stumbling block for Java-based software systems processing XML. In modern day real-world systems, we are now seeing huge SOAP messages on the order of hundreds of megabytes or even gigabytes in size. The conundrum is how to process these, given constraints on maximum JVM heap sizes in many platforms. Due to aggressive built-in streaming and compression, appliances can handle messages larger than their actual memory space.

    On another message-related topic, consider applications that do XML transformation between differing schemas; for example, an application that consumes XML purchase orders and must understand a variety of incoming purchase order formats from business partners, and then transforms each into the one “golden” purchase order schema that this company uses. These transformations can be quite expensive to process (see Figure 1-5) and result in bloated application code. We all know that line-for-line, application code is expensive in terms of programmer time, testing, and debugging. Now consider the effect on the application if the transformations were moved out to the appliance on the frontend so that the backend application now gets only the one “golden” schema format. Yes, our application has gone on quite a diet, is less expensive to maintain, and is much faster. One field scenario consisted of a frontend cluster of Java EE applications to do such transformations to keep the cluster of business logic applications behind it lightweight. However, since this was running on a platform that charged for CPU time, and given the overhead of XML transformations shown in Figure 1-5, it was expensive. The solution was to move the transformation layer out to DataPower appliances. The result was a huge cost savings and orders of magnitude faster processing.

    Integrating Platforms

    In the previous section, we discussed a scenario in which the appliance could be used to bridge differences in standards specifications (WS-Security v1.0 versus. v1.1) and identity credentials (SPNEGO versus LTPA) across systems. This is one good example of easily integrating disparate platforms, particularly when the standards and specifications are in flux. It is difficult for software-based solutions running on standard servers and products to keep up with this. On the appliance, you load a firmware update to get the latest and greatest.

    However, there are other issues that arise when integrating different platforms. Consider a scenario in which a medium-sized business XYZ Corp has its infrastructure running on legacy platforms and technologies, perhaps mainframe-based EDI. The business partners that they depend on have long since moved their platforms to Web services and are telling poor XYZ Corp that they can no longer afford to support XYZ’s legacy interface to that system, and they must provide a modern SOA or Web services interface or lose the business. This puts XYZ in a bad position; what will it cost to retrain its programmers, rewrite its COBOL applications, and revamp the backends to its Java EE platforms? Likely, it would be a staggering amount! A common solution to this problem is to place appliances at the front of the network as proxies, cook up a WSDL file to describe some Web services, begin receiving the ASCII SOAP messages from the now-happy business partners, and convert them on-the-fly to EBCDIC EDI or COBOL Copybook messages and send them over MQ or IMS Connect to the legacy backend. The backend does not have to change, and no programs have to be rewritten—a win-win!

    Due to the variety of protocols (HTTP(S), FTP, MQ, JMS/JFAP, IMS, NFS, TIBCO, MQ, ODBC, SNMP, and so on) supported by the DataPower appliances, there is a wealth of opportunity for protocol bridging, content enrichment, and integration between platforms. Notice that the previous scenario involved message transformation. The XI50 DataPower appliance can handle either XML-to-XML or non-XML transformation scenarios, meaning that messages can be transformed to the appropriate format for any intended backend.

    Another common and age-old scenario related to integrating platforms is dynamic routing. Because it is often a requirement to make dynamic routing decisions “on the edge of the network,” we have DMZ Web servers, proxies, and load balancers handle this. The problem is that they can understand only the protocol and not the payload of the message. To accomplish the goal, applications place some value in the protocol header to facilitate the content-based routing. As an example, if we want any purchase orders over one million dollars to be routed to high-priority servers, the sending application would place a cookie or attribute in an HTTP header or URL parameter. The Web server, proxy. or load balancer in the DMZ would be configured to check for this and then route the traffic accordingly. The problem with this scenario is that you have to put this hack in the applications and the HTTP payload, potentially disclose message data to attackers, and involve the sender/client. This solution doesn’t scale because if you continually do this, the HTTP header and application code bloat.

    Because SOA appliances are XML-savvy and can use technologies such as XPath, they can check inside the message payload to look for the actual <po_value> element rather than alter the application and HTTP header. If the message is encrypted, you don’t need to expose this by externalizing the data; you can just decrypt the message and check the value, and then route accordingly. The client in this case does not have to be complicit—the routing is truly dynamic and transparent. The XML Aware Network layer is shown in Figure 1-6.

    One last important feature in regard to the integration story is the use of appliances as ESBs. The appliances fulfill the model of an ESB by virtue of their strong routing, transformation, mediation, and protocol-switching capabilities. IBM has other ESB products capable of implementing the ESB pattern—WebSphere Message Broker (WMB) and WebSphere Enterprise Service Bus (WESB). Each of these have unique capabilities that may suit them for particular usages. Although DataPower may be thought of as a highly secure and performant ESB, the others have features that DataPower does not have in the arenas of transactionality, persistent message handling, and the capability to work in other programming languages. We discuss ESBs in Chapter 5, “Common DataPower Deployment Patterns,” and Chapter 9, “Multi-Protocol Gateway.”


    TOP 10 CUSTOM SOFTWARE DEVELOPMENT COMPANIES 2018 | killexams.com real questions and Pass4sure dumps

    List of Top Custom Software Development Companies | Top Software Developers 2018 Reviews Top Custom Software Development Companies 2018

    In the recent years, the amount of custom software development companies reached a critical number. Thus, the question of selecting the needed option among the best custom software development companies stands as sharp as never before.

    Honestly, the choice of one and only top custom software development company is really hard. Almost each custom software development company on market meets the highest standards of service delivery and has the diversified set of specializations and advantages. Therefore, the presented list of top custom software development companies required comprehensive research in the ratings prepared by various analysts.

    And here is the result.

    The Best 10 Custom Software Development Companies 2018 | Top Software Developers in USA, UK, and Canada

    In order to create the most trustworthy result, this rating of top custom software development companies used the information arranged by Hackernoon, Extract, Clutch, Upcity, ITfirms and other many other observers. In fact, most of them agree with the statement that the best custom software development company should cooperate with top clients and provide the diversified set of products and services. Otherwise, the company’s ability to completely satisfy the needs of its customers raises doubt.

    Within the range of identified criteria, the presented review of best custom software development companies chose the most reliable and popular developers on the market. Besides, the results are ordered based on the degree of detalization custom software development companies gained among the observers used for reference in this rating.

    The candidates shortlisted as top custom software development companies in 2018 for this review:
  • Intellectsoft
  • Oxagile
  • Frogslayer
  • Konverge
  • ScienceSoft
  • Itransition
  • Trigent
  • Openxcell
  • Kandasoft
  • Softserve
  • Let’s look at each representative in the list of best custom software development companies closer.

    INTELLECTSOFT, TOP CUSTOM SOFTWARE DEVELOPMENT COMPANY FROM PALO ALTO, CALIFORNIA Intellectsoft custom software development company, Palo Alto, California | Top 10 Software Development Companies List 2018

    Top clients: Guinness, EY, Jaguar, Audi, Harley-Davidson, Universal, Nestle

    Intellectsoft is a multi-awarded custom software development company that specializes in various solutions and services. Being the top choice among the numerous reviews, this provider also gained the reputation of the most reliable custom software development company. Precisely, it has collected numerous case studies on assisting top clients with automated solutions, investment decisions, iPad apps, sales data optimization, and others.

    Concerning the specific delivery Intellectsoft offers on market, the provider mainly works on blockchain and financial technologies, cloud computing, B2B and B2C Web portals, documentation management, online billing, and payment solutions. At the same time, it deserved the top custom software development company title thanks to the wide range of services in its package. Among its main elements, there are UI and UX, DevOps, and mobile apps development. On each of the above-mentioned offerings, the exemplary dedication of a qualified team and the usage of innovative technologies make the difference too. Finally, the best custom software development company possess sufficient resources to offer full-cycle expertise, meaning the recently launched blockchain lab and the unification of four companies under one mobile platform. In combination, these factors make it relevant to state that Intellectsoft is the company delivering services and solutions of the top quality on market.

    Besides, this top custom software development company can proudly guarantee its clients the highest standard of each service and solution designed. In particular, Intellectsoft managed to turn almost two-thirds of its customers into loyal clients and satisfy almost each of them to the extent of asking for the software assistance again. In this context, the custom software development company is not afraid of working with the complicated tasks in software engineering, intelligent consulting, hi-tech solutions, and IoT and AI development. Together, these factors significantly contribute to multiplying the success stories with clients like Google, Eurostar, Cirruspath and many other Fortune 500 representatives. And this helps Intellectsoft reach the stars in the industry and head the list of top custom software development companies this year.

    Headquarters: United States, UK, Norway

    Founded: 2007 | Employees: 50–499

    Software Development Services:
  • Enterprise software development
  • Blockchain development
  • Dedicated development teams
  • Mobile app development
  • Software testing and QA services
  • IT consulting services
  • UI and UX services
  • DevOps
  • OXAGILE, TOP CUSTOM SOFTWARE DEVELOPMENT COMPANY FROM NEW YORK Oxagile custom software development company, New York | Top 10 Software Development Companies List 2018

    Top clients: Google, Vodafone, Discovery, Cardiff University, Stockmusic.net

    Oxagile deserves its title of a top custom software development company due to the integrity of the services provided. In other words, this custom software development company presents end-to-end solutions on market and makes this successfully enough to satisfy the customer needs completely. Awarded numerous times (IAOP The Global Outsourcing 100 in 2017, Deloitte Technology Fast 500 and 2016 Software Companies 500, among its recent prizes), Oxagile guides its work in accordance with the values of craftsmanship, trust, flexibility, and teamwork.

    Among the diversified custom software development services, Oxagile pays the significant attention to online video management, AdTech, eCommerce, and business intelligence. At the same time, the presented list of Oxagile competences is incomplete. In addition, the best custom software development company smoothly assists clients in mobile and web app development, automated testing, big data, and computer vision. While working on each of the presented services and solutions, Oxagile positions itself as a custom software development company that overcomes any challenges of the dynamic market and aims at continuous innovation.

    In this context, the level of customer satisfaction with Oxagile justifies its achievements. It is truly impressive: 97% of clients left positive reviews about the services that this company has delivered through them to a billion of end users. In addition, the wide range of loud names among Oxagile’s top clients supports the corporate ambitions for expansion and success. Specifically, the top custom software development company guided almost 500 projects with corporate giants like Google and Vodafone: working on coaching analytics systems, platform optimization, the launch of innovations, and digital advertising adjustments. In the end, Oxagile established the reliable portfolio, full of excited testimonials from clients on the experiences crafted by the passionate workers in its development team.

    Headquarters: USA, UK, Belarus

    Founded: 2005 | Employees: 250–499

    Software Development Services:
  • Custom software development
  • Mobile application development
  • Web application development
  • Software testing and QA
  • Dedicated development teams
  • QA automation service
  • FROGSLAYER, CUSTOM SOFTWARE DESIGN & DEVELOPMENT COMPANY FROM TEXAS

    Top clients: Microsoft, Dunkin Donuts, Best Buy, US Bank, Epsy, Wrigley, Dell

    The valid place among top custom software development companies is deserved by FrogSlayer due to its willingness to craft the greatest and the most needed solutions — and successfully putting this ambition into action. With the emphasis on uniting the workers into a close-knit passionate team, this custom software development company manages to offer game-changing services of any difficulty and urgency. And its work is awesome.

    Concerning the very specifics of the delivery process designed by FrogSlayer, clients can experience three stages: planning, building, and management. At the preliminary stage, the company offers the sophisticated package of pre-project consulting, code or architecture review, and research, design & planning. Then, FrogSlayer assists the companies on the building stage. Here, a client can wait up to 90 days to receive MVP after the product design and, in the same timeframe, get V1 from MVP. Moreover, this package includes a dedicated team option. Finally, the stage of service management emerges, when the custom software development company works hard on the smooth running of the result designed. Precisely, cloud hosting and end-user bug support are the major elements of the corporate package, offered long after the service is actually delivered.

    In the end, this representative in the list of custom software development companies works on the creation of the best solutions for clients and of the favorable space for employees. On the one hand, FrogSlayer is aimed at working on software engineering solutions that are centered on the customers’ needs (including the particular budget limitations) and the overall risk mitigation. On another hand, it highly values the integrity of its software development team, consciously avoiding offshoring and outsourcing that are so popular these days, along with separating the project team and limiting its creative potential. In the end, FrogSlayer can confidently title itself as a top custom software development company that delivers light, adjustable, and convenient solutions on market.

    Headquarters: USA

    Founded: 2005 | Employees: 50–249

    Software Development Services:
  • Custom software development
  • Prototyping
  • Software system planning
  • Web design
  • Maintenance of custom software applications
  • Production environment setup
  • Performance monitoring
  • KONVERGE, TORONTO’S TOP CUSTOM SOFTWARE DEVELOPMENT COMPANY Konverge custom software development company, Toronto | Top 10 Software Development Companies List 2018

    Top clients: McDonald’s, KPMG, Sanofi, Bosch, Invesco, Sandwik, Toronto Public Health

    Konverge is a Canadian leader in the software development niche with over 20 years of experience. Being a relatively small firm, this custom software development company delivers diversified and top-quality solutions on the local market. To achieve this aim, Konverge possesses numerous technological competencies, including Microsoft technologies, content management systems, and multimedia tools.

    Among the precise custom software development services of Konverge, the provider offers web & mobile development, SharePoint, and business intelligence. On this matter, custom software is delivered with the tools supported by Microsoft golden partnership, while business intelligence is designed to achieve the best KPIs. Considering the service delivery, Konverge is able to concentrate on the specific element needed for the client or provide the combination of services on request. In addition, this custom software development company is proud of its Field Eagle (tablet-based mobile field inspection), MenuSano (online nutrition calculator), and Aptunity (SaaS-modeled web application for HR departments) products.

    Like other top custom software development companies, Konverge is awarded multiple times by the observers — including the victory in Innovation & Excellence Awards 2018 and featuring in Global Awards 2016 and CDN Channel Elite Awards in 2016 (small-business solution, gold winner) and 2015 (mid-market solution, silver winner). And numerous satisfied clients (CSA Group, Cogeco, and SDMSHN, to name a few) support the vision of Konverge’s exemplary excellence. Therefore, the appearance of this Canadian firm in the list of top custom software development companies is justified by the level of customer satisfaction, the success on the local market, and the comprehensive range of software development services provided.

    Headquarters: Canada

    Founded: 1994 | Employees: 10–49

    Software Development Services:
  • Web development services
  • Mobile application development services
  • User experience & user interface design services
  • Product envisioning
  • Road-mapping and support
  • Business intelligence tools
  • SharePoint expertise
  • IT consulting services
  • SCIENCESOFT, SOFTWARE DEVELOPMENT COMPANY FROM MCKINNEY, TEXAS Sciencesoft software development company, Mckinney, Texas| Top 10 Software Development Companies List 2018

    Top clients: eBay, Walmart, Nestle, NASA JPL, T-Mobile, M&T bank

    ScienceSoft, the U.S. custom software development company, specializes in IT consulting and development and meets the customer demands for almost 30 years globally. Concerning the range of industries where the corporate workers demonstrate their talents and creativity, it includes healthcare, banking sector, retail, and communications. And within the selected area of influence, ScienceSoft proudly states that its main income comes from the clients who are with the provider for more than a year.

    In particular, ScienceSoft deserves its place among the best custom software development companies due to its professional skills demonstrated while crafting various types of solutions. In this context, the industry leader is accustomed to the Internet of Things, artificial intelligence, machine learning, computer vision, and big data. Besides, ScienceSoft specializes in applications; it creates them for Web, mobile, real-time, big data, and desktop. Also, the custom software development company pays significant attention to its connection models and has achieved excellence in technology consulting, development from scratch or on the basis of the set requirements, and legacy software modernization.

    In the presented rating of top custom software development companies, ScienceSoft appeared because of its prominent achievements in the chosen industries. In healthcare, the provider is proud of CRM systems and business intelligence solutions. As for the retail, the loudest accomplishment is PLM platform, used by the industry leaders like Coca-Cola, Carrefour Group, and Procter & Gamble. Viber, the widely used messenger in the world, is also the result of ScienceSoft’s development team efforts. In short, it is a truly successful and inspiring company that was bound to appear in the rating of best custom software development companies.

    Headquarters: USA, Finland

    Founded: 1989| Employees: 250–999

    Software Development Services:
  • Custom software development services
  • Mobile application development services
  • Web application development services
  • Software testing & QA services
  • Software development outsourcing
  • IT consulting services
  • CRM & Loyalty
  • Managed IT services
  • Information security
  • Image analysis
  • IT service management
  • ITRANSITION, TOP CUSTOM SOFTWARE DEVELOPMENT COMPANY AND SOFTWARE OUTSOURCING SPECIALIST FROM LAKEWOOD Itransition software development and software outsourcing company, Lakewood | Top 10 Software Development Companies List 2018

    Top clients: Adidas, Philips, Toyota, Xerox, PayPal, KMPG

    Itransition is the best custom software development company in terms of the global scale, the list of its core competencies, and the outstanding teamwork results. By maintaining the staff of 1520 engineers worldwide, the provider significantly contributes to its mission of the digitalization of our future. And 100% of customer satisfaction rate justifies the success of this ambition.

    In fact, this custom software development company manages to deliver the diversified set of services and solutions. Within the list of available options, the willingness to facilitate decision-making, modernize operations, and master integration between main processes guides the work of the Itransition team. As for the solutions, the digital enterprise and digital engagement clusters satisfy the urge for data and infrastructure management, social media engagement, omnichannel commerce and many other needs. Finally, the list of technologies includes the wide set of available tools, from the basic PHP and Python languages to more sophisticated Atlassian and Salesforce platforms.

    Moreover, Itransition has collected numerous acknowledgments on the way of its development, including IAOP The Global Outsourcing 100 and partnerships with Microsoft and HP. In this context, the custom software development company demonstrates its brilliant results in various industries, meaning automotive, retail & wholesale, software vendors, healthcare, media and entertainment, finance, telecommunications, and education. By taking all these achievements into account, the list of the best custom software development companies simply will not be complete without mentioning Itransition.

    Headquarters: USA, UK, Belarus

    Founded: 1998 | Employees: 1000+

    Software Development Services:
  • IT strategy & consulting
  • Application development services
  • Product engineering services
  • Systems integration
  • QA & testing
  • Application management
  • DevOps
  • Maintenance & support
  • TRIGENT, CUSTOM SOFTWARE & OUTSOURCE SOFTWARE DEVELOPMENT COMPANY FROM SOUTHBOROUGH Trigent custom software and software outsourcing company, Southborough | Top 10 Software Development Companies List 2018

    Top clients: Navistar, Oracle, HP, Clarks, Emerson

    Trigent is a custom software development company that is aimed at accelerating innovation. To achieve this ambitious goal, the provider works on transforming products, effectively adopting SharePoint, automating testing and QA, and optimizing various enterprise operations. And with the developed global delivery model, Trigent manages not only to meet these objectives but also to lead the industry.

    Among the particular custom software development services, Trigent is focused on cloud technology. In fact, it offers various solutions to optimize the operation of this innovation, from the installation process to fixing various maintenance issues. Furthermore, the general list of corporate technologies mostly impresses clients. In particular, Trigent can assist in product engineering, business intelligence, and mobile application development. Among the available tools for service delivery, this custom software development company uses both business and industry knowledge and chooses the necessary tool among technology slack, emerging technologies, Microsoft, Java Enterprise Edition, PHP/Open Source development, IBM iSeries, or SaaS.

    As for the other competencies that diversify Trigent from numerous custom software development companies, the list of industries where it can effectively assist the clients is among the widest and most diversified ones, comparing to the key competitors. Specifically, the provider demonstrates great results in manufacturing, transportation and logistics, insurance, eCommerce, high-tech, education, healthcare, and financial services. In the end, Trigent deserves recognition among the other custom software development companies due to its proficiency in creating complex solutions that satisfy numerous clients from different industries — along with its ability to maintain consistency of the corporate brand in each of them.

    Headquarters: USA, India

    Founded: 1995| Employees: 1000+

    Software Development Services:
  • Cloud development services
  • Enterprise digital transformation
  • Managed cloud infrastructure services
  • Cloud transformation
  • QA & testing services
  • Product engineering services
  • Enterprise ADM
  • SharePoint services
  • Business intelligence
  • Mobile application development
  • Professional services
  • OPENXCELL, CUSTOM SOFTWARE DEVELOPMENT COMPANY FROM CALIFORNIA Openxcell custom software development company, California | Top 10 Software Development Companies List 2018

    Top clients: Google, Motorola, Unilever, Conagra, Pedigree

    Openxcell, the custom software development company of CMMI Level 3 with ValueShore outsourcing model, is enthusiastically delivering software products all over the world. With its extensive experience, friendly corporate culture, cost efficiency, and circumspect infrastructure, the provider managed to satisfy over 500 clients globally and establish the reliable reputation. And doesn’t seem to stop on this.

    As for the key areas of interest (in addition to software development), the company works on mobile app development, real-time systems, bots and IOT. Moreover, Openxcell demonstrates mastery in crafting SAAS-based products, meaning Orderhive and Workhive projects. In terms of industry range, the custom software development company value itself in assisting eCommerce portals, digital marketplaces, social media, and real-time business analytics and integration. And so, the appearance of this organization among top custom software development companies is justified by the ability to craft diversified services along with high-quality products for users with different needs.

    As many other best custom software development companies, Openxcell has numerous reasons to feel proud of its achievements. Among its awards, the provider won the title of Best Software Development Company in 2012, according to GESIA. In this context, it also gained ISO 9001:2008 certification to operationalize its QA and management system. Besides, Openxcell is open to partnerships with other products, software specialists, and sales and marketing companies, which significantly strengthens its positions in the competitive software development market. By taking into account all the information mentioned above, Openxcell is surely the company that deserves its place among top custom software development providers.

    Headquarters: USA, India

    Founded: 2008| Employees: 50–249

    Software Development Services:
  • Blockchain development services
  • Mobile app development services
  • Testing & QA services
  • Chat bots
  • Managed cloud
  • KANDASOFT, CUSTOM SOFTWARE DEVELOPMENT SERVICES PROVIDER FROM NEWTON, MASSACHUSETTS Kandasoft custom software development services, Newton, Massachusetts | Top 10 Software Development Companies List 2018

    Top clients: Bayer Healthcare, Evernote, Ford, Lionbridge, Worthworm

    Kandasoft, the prominent representative of custom software development companies on the global market, for over 15 years reaches diversified clients, from Fortune 500 members to prospective startups, and delivers them complex software solutions. The carefully collected technological equipment in and an unstoppable urge to reach maximum customer satisfaction can be determined as the main factors of the corporate success.

    Specifically, this best custom software development company specializes in mobile application development, software development services for startups, QA, ePublishing, healthcare solutions, and data and application security. Within this range of competences, the provider constantly improves the quality of its services in order to deliver the best result for the customer. Besides, Kandasoft is working on different technology platforms, including Java, .Net, SharePoint, PHP, SaaS, and clouds. This makes it relevant to state that the company offers diversified and up-to-date software solutions on market.

    In addition, this custom software development company works with mobile apps. The list of corporate accomplishments in this sphere includes an ability to work with iOS, Android, BlackBerry and Windows 7, along with guaranteeing a smooth integration of business processes with major online platforms, meaning Facebook, Twitter, Evernote, Skype, and Dropbox. Besides, knowledge management solutions deserve the special place in corporate working culture, considering their direct impact on business performance for the potential clients. Thus, by addressing all the key criteria, Kandasoft totally deserves the title of the best custom software development company and the place in the presented list.

    Headquarters: USA

    Founded: 1993 | Employees: 249–500

    Software Development Services:
  • Web development and design services
  • QA services
  • Project management and QA management
  • Assessment and roadmap development
  • Software development outsourcing
  • Software maintenance and support
  • Team augmentation
  • Software security
  • SOFTSERVE, CUSTOM SOFTWARE SOLUTIONS PROVIDER FROM AUSTIN, TEXAS Softserve custom software solutions, Austin, Texas | Top 10 Software Development Companies List 2018

    Top clients: Atlassian, Cisco, Deutsche Bank, IBM, Panasonic, Coupa

    SoftServe is the provider that crowns this list of best custom software development companies. Being a long-term specialist in this competitive market, this specific custom software development company aims at popularizing innovation among the businesses. And so, it established the team of dedicated workers and the set of software services with the passion to archive this aim.

    Considering the main solutions SoftServe offers, its achievements in establishing innovation platforms deserve the special attention. In this dimension, the custom software development company manages to unite novelty with crowdsources ideation, market-verified concept engineering, and commercialization. As a result, its customers receive sophisticated products that address the main requirements of the competitive market. In addition, SoftServe works with raw data by turning it into intelligence information, crafts digital experiences and connections between machines, accelerates and optimizes business processes, and ensures business efficiency.

    Similar to other custom software development companies, SoftServe is working in various industries; specifically, they are healthcare, financial services, retail, media, and software. On this aspect, the focus is on creating ecosystems within the whole sphere, and these efforts are praised by the customers the most. For instance, the fruitful transformation from traditional models to innovative approaches is adopted through life sciences, biotech, digital banking, insurance, customer package goods, broadcasting, and multinational lines of business. And the company surely won’t stop on these achievements. Which means that it has high chances to appear much higher in this rating the next year.

    Headquarters: USA, Ukraine

    Founded: 1993 | Employees: 1000+

    Software Development Services:
  • Innovation platform
  • Big data
  • AI
  • Machine learning
  • Experience design
  • Internet of things
  • DevOps
  • Core software development

  • The Best Self-Service Business Intelligence (BI) Tools of 2018 | killexams.com real questions and Pass4sure dumps

    Analytics Beyond Spreadsheets

    For many years, Microsoft Excel and other spreadsheets were the tools of choice for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing complex datasets in Excel can still be frustrating. Sometimes you start with the wrong kind of data, for example, or you may not know how to manipulate the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The need has arisen for effective tools that people of all skill levels can use to make sense of the wealth of information created by businesses every single day.

    Spreadsheets also fall down when the data isn't well-structured or can't be sorted out in neat rows and columns. And, if you have millions of rows or very sparse matrices, then the data in a spreadsheet can be painful to enter and it can be hard to visualize your data. Spreadsheets also have issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the same spreadsheet.

    A spreadsheet containing up-to-the-minute data can also be a problem, particularly if you have exported graphics that need to be refreshed when the data changes. Finally, spreadsheets aren't good for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

    While spreadsheets and self-service BI tools both make use of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a way to store and display calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is all about the math more than the model itself.

    This is all a long-winded way of saying that when businesses use a spreadsheet, they are actively sabotaging themselves and their ability to consistently get valuable insights from their data. BI tools are specficially designed to help businesses better understand their data, and can prove to be a huge benefit to those upgrading from what a limited spreadsheet can do.

    What Is Business Intelligence?

    Defining BI is tricky. When you examine what it does and why companies use it, it can start to sound vague and nebulous. After all, many different kinds of software offer analytics features, and all businesses want to improve. Understanding what a BI is or isn't can be unclear.

    BI is an umbrella term meant to cover all of the activities necessary for a company to turn raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own existence and operations. The ultimate goal is being able to increase profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and contract information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can do regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the art of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this steady progression towards more in-depth knowledge about the business, competitors, customers, industry, market, and suppliers, to name just a few possible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and complex to be entirely handled by mere humans. Early efforts to do these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of certain operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.

    While BI software still covers a variety of software applications used to analyze raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main difference between today's BI software and Big Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from small to large. Big Data analytics and apps handle data analysis for very large data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were popular half a decade or more ago required specialists, not just to use but also to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to get and understand the business—the company decision makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a series of "standard" reporting that analysts would run on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can be highly valuable in fast-moving situations.

    This problem has led to a growing new trend among new BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to be available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and decision makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management tool arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can take advantage of this distributed BI model. Key tools and critical data have moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with new BI software. This results in a whole new kind of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they need but how they need to use it.

    The emerging crop of BI tools all work hard at developing front-end tools that are more intuitive and easier to use than those of older generations—with varying degrees of success. However, that means a key criteria in any BI tool purchasing decision will be to evaluate who in the organization should access such tools and whether the tool is appropriately designed for that audience. Most BI vendors indicate they're looking for their tool suites to become as ubiquitous and easy to use for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. None have gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI tool suites tend to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should happen now), and predictive (what will happen later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a fast and effective method of transferring information from a machine to a human brain. The idea is to place digital information into a visual context so that the analytic output can be quickly ingested by humans, often at a glance. If this sounds like those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to reach more granular information on one or more aspects incorporated in the bigger picture. For example, new values can be added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can turn a static visual into an animation or a dashboard.

    The best visualizations do not seek artistic awards but instead are designed with function in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may look impressive at first glance but, if your audience needs help to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products offer more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are also third-party and even free data visualization tools that can be used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a business analyst. But I also kept in mind the viewpoint of users who might have no familiarity with data processing or analytics. I loaded and used the same data sets and posed the same queries, evaluating results and the processes involved.

    My aim was to evaluate cloud versions alone, as I often do analysis on the fly or at least on a variety of machines, as do legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One example of this is Tableau Desktop, a favorite tool of Microsoft Excel users who simply have an affinity for the desktop tool (and who just move to the cloud long enough to share and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop tool over a web tool anyway." Again, I don't doubt Microsoft's claim but that does seem weird to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop tool preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a pure cloud player. The tool is designed to analyze website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I found them, simply to let buyers know they exist. IBM Watson Analytics is one tool with the ability to extend to highly advanced features and was also one of the easiest to use upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, knowledge of data science. Instead, it works well by using natural language and keywords to form queries, a characteristic that can make it valuable to practically anyone. It's highly intuitive, very powerful, and easy to learn. Microsoft Power BI is a strong second as it, too, is powerful while also familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they all have their own pros and cons. We'll be adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet handle streaming data. For many users, that won't be a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer behavior patterns, streaming data can be invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and make streaming data and streaming analytics a must-have feature. Many of these tools will have to up their game accordingly so, unless you want to jump ship in a year or two, it's best to think ahead when considering BI and the IoT.

    BI and Big Data

    Another area in which self-service BI is taking off is in analyzing Big Data. This is a newer development in the database space but it's driving tremendous growth and innovation. The name is an apt descriptor because Big Data generally refers to huge data sets that are simply too big to be managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and social media tools (to name a few) that have become so popular over the last several years.

    Not only do these tools generate loads of new data, they also often generate a new kind of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this kind of data is heavy on text (even free-form text) while also containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this kind of data include the customer behavior-tracking tools you use to see what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath social media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this new information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. New data storage innovations such as data lakes are emerging to solve for this need, but organizations still relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter Big Data analysis standards. The golden standard here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query Big Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query all of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to perform your queries, but it's typically easier and more effective to use commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, all support this. However, each requires varying levels of configuration or even add-on tools to do so—with IBM, Microsoft, and Tableau offering exceptionally deep capabilities. However, both IBM and Microsoft will still expect customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the Right BI Tool

    Given the issues spreadsheets can have when used as ad hoc BI tools and how firmly ingrained they are in our psyches, finding the right BI tool isn't a simple process. Unlike spreadsheets, BI tools have major differences when it comes to how they consume data inputs and outputs and manipulate their tables. Some tools are better at exploration than analysis, and some require a fairly steep learning curve to really make use of their features. Finally, to make matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to claim the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will take some study and discussion with the people you'll be designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you have this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and stay there.

    In recent years, companies have been taking advantage of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is important to make sure that your employees actually know how to use these BI platforms so that you can make sure your investment was worthwhile. There are many ways of approaching this, but using the right online learning platform might be a good place to start looking.

    Given the wide price range of these products, you should segment your analytics needs before you make any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and make it easy to get started. Plus, they tend to have large ecosystems of add-ons and partners that can be a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop still has the largest collection of charts and visualizations and the biggest partner network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in our roundup. However, all three products received our Editors' Choice award. Tableau Desktop may have a big price tag depending on which version you choose but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to devote some effort to it. Microsoft Power BI and Tableau Desktop also have large and growing collections of data connectors, and both Microsoft and Tableau have their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' development teams so it's a good idea to spend some time looking through those community forums to get an idea where these companies are headed.

  • Pros: Extremely user-friendly. Fantastic automatic report generation. Impressive support availability.

    Cons: Automated reports can quickly become defaults. Steep learning curve that might confuse beginners.

    Bottom Line: Zoho Reports is a solid option for general business users who might not be knowledgeable in analytics software. It's also available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively fast analytics. Robust natural language querying.

    Cons: Unable to do real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes our Editors' Choice honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns our Editors' Choice honor for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: Enormous collection of data connectors and visualizations. User-friendly design. Impressive processing engine. Mature product with a large community of users.

    Cons: Full mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most mature offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might be too difficult for self-service business intelligence (BI). Analytics process still needs to be ironed out. Natural language capability can be limited.

    Bottom Line: Sisense is a complete platform that should be popular for experienced BI users. It may fall short for beginners, however.

    Read Review
  • Pros: Wide range of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. Steep learning curve. Unwelcoming to new analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already have business intelligence (BI) experience in their organization. Domo's a powerful BI tool with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer support has way too much automation. Focus on marketing and advertising can be frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest name in website and mobile app intelligence. It has a steep learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with general business users in mind. Solid return on investment.

    Cons: The data you can use is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners make it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plentiful extenders. Responsive pages make mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But be warned that there's a steep learning curve and a noted dependence on other SAP products for full functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. Complex queries are handled very well.

    Cons: Poorly designed user interface. Steep learning curve.

    Bottom Line: Chartio excels at building a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those new to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very deep SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for small teams.

    Bottom Line: Looker is a great self-service business intelligence (BI) tool that can help unify SQL and Big Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: Complex pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) tool that delivers the best collection of user access roles among the BI tools we tested, and also demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free trial available. Training webinars can be costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) tool WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very easy to get started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features found in Windows version. Online documentation could be improved.

    Bottom Line: While Tibco is still making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) tool Tibco Spotfire is a great way to start visualizing your Excel data.

    Read Review
  • Pros: Excellent analytical support for Intuit QuickBooks. Very easy setup.

    Cons: Installation and setup is a bit of chore. No support for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) tool for in-depth analysis of your Intuit QuickBooks files, though you'll need to look elsewhere for broader BI tasks.

    Read Review


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