|Exam Name||:||IBM Cognos Business Intelligence Sales Mastery Test v3|
|Questions and Answers||:||44 Q & A|
|Updated On||:||April 19, 2019|
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M2020-626 exam Dumps Source : IBM Cognos Business Intelligence Sales Mastery Test v3
Test Code : M2020-626
Test Name : IBM Cognos Business Intelligence Sales Mastery Test v3
Vendor Name : IBM
Q&A : 44 Real Questions
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With facts more and more a must have to business success, company intelligence (BI) continues to grow in significance. With a powerful BI strategy and team, agencies can operate the styles of analysis of company counsel integral to help clients make information-pushed company choices.
BI encompasses a large number of roles. BI analysts, with a regular income of $sixty six,791 per yr in line with PayScale, deliver application evaluation and data modeling design for centralized facts warehouses and extract facts from databases and information warehouses for reporting, among other tasks. BI developers, with an average earnings of $77,859 per yr according to PayScale, work with databases and software to advance and great-tune IT options. BI architects, with an ordinary revenue of $108,108 per yr in response to PayScale, analyze and implement BI for their groups, with tasks that range from picking out structures to building and maintaining data warehouses. BI administrators, with a standard earnings of $129,008 per year according to PayScale, lead design and development activities related to the business data warehouse.
Certifications don't seem to be required to work in BI, however they may assist you get an area via proving to employers that you have the right skillset. below is our guide to one of the most sought-after BI certifications.
The CBIP certification program is intended for senior-stage personnel within the suggestions methods and know-how industry with a focus on records administration and enterprise analytics. The cert demonstrates that you're up-to-date with BI applied sciences and are knowledgeable about most excellent practices, solutions, and rising developments. you will need two or more years of full-time journey in computing device tips programs, statistics modeling, statistics planning, data definitions, metadata programs building, commercial enterprise resource planning, systems analysis, application development and programming, or counsel technology administration. The initial certification is valid for four years and must be renewed each three years thereafter. Recertification requires proof of 120 credit hours of carrying on with schooling earned on account that the ultimate renewal.
The certification has two degrees:
firm: The data Warehousing Institute (TDWI)
examination price: $400 per exam
Annual payment: $one hundred twenty five to the Institute for Certification of Computing specialists (ICCP) every yr after the firstIBM certified fashion designer: IBM Cognos Analytics author V11
rate: $one hundred to $200Microsoft licensed solutions associate: BI Reporting
The MCSA: BI Reporting certification demonstrates your capabilities in examining information with both energy BI and Excel. It demonstrates skills of statistics analysis, information visualization, modeling, dashboards, and direct connectivity to facts sources in Excel and power BI. The certification serves as a first step toward the bigger-degree Microsoft certified options knowledgeable (MCSE): records administration and Analytics certification. The certification requires passing one of two checks and does not require renewal.
exam price: $one hundred sixty five per examinationMicrosoft certified solutions affiliate: SQL 2016 BI construction
The MCSA: SQL 2016 BI building certification validates your extract, radically change, and load (ETL), and information warehouse skills, in addition to your skill to enforce BI options using multidimensional and tabular facts models and online analytical processing (OLAP) cubes. The certification serves as a primary step toward larger-degree MCSE certifications, together with the MCSE: records administration and Analytics certification. The certification requires passing one among 13 checks and doesn't require renewal.
exam payment: $one hundred sixty five per examinationMicrosoft certified options expert: statistics administration and Analytics
The MCSE: information management and Analytics certification demonstrates your broad ability sets in SQL administration, constructing business-scale statistics options, and leveraging BI records on-premises and in cloud environments. It qualifies the holder for records analyst, database fashion designer, and enterprise intelligence analyst positions. To qualify, the candidate must first earn an MCSA in SQL Server 2012/2014, or SQL 2016 Database Administration, Database building, BI development, laptop learning, BI Reporting, or information Engineering with Azure. The certification requires passing two of 13 tests. The certification does not expire.
examination price: $a hundred sixty five per examOracle company Intelligence foundation Suite 11g certified Implementation professional
The Oracle company Intelligence groundwork Suite 11g certified Implementation professional certification is supposed for intermediate-stage implementation group participants and demonstrates your abilities in areas together with: installation Oracle enterprise Intelligence Suite, building the BI Server metadata repository, constructing BI dashboards, constructing advert hoc queries, defining security settings, and configuring and managing cache info. The certification doesn't expire.
exam payment: $245QlikView enterprise Analyst
The QlikView enterprise Analyst certification demonstrates your talents of interface design of QlikView purposes and is recommended for roles involved in the evaluation, design, and design of the QlikView utility consumer interface. Candidates should have a simple talents of BI, reporting, and information analysis, in addition to adventure working with QlikView to design purposes. The certification requires passing a diverse-alternative examination delivered by using Pearson VUE via a Pearson VUE test center or in your home/workplace using on-line proctoring. The certification doesn't expire, although Qlik releases new assessments for every principal liberate, so ancient certifications do "age out."
exam fee: $250QlikView information Architect
The QlikView data Architect certification demonstrates your advantage of the technical points of QlikView software development, including design, records modeling, and scripting. it's suggested for roles involving setting up, deploying, and assisting QlikView purposes. The certification requires passing a multiple-choice examination delivered with the aid of Pearson VUE by way of a Pearson VUE check center or to your domestic/workplace the use of on-line proctoring. The certification does not expire, notwithstanding Qlik releases new exams for every most important unencumber, so ancient certifications do "age out."
examination price: $250SAP licensed application associate: company Intelligence with SAP BW 7.four & SAP BI 4.1
The SAP certified application associate: business Intelligence certification demonstrates your expertise of SAP business Warehouse and business Intelligence. SAP recommends candidates mix palms-on adventure and schooling courses to put together for the necessary diverse-alternative exam delivered with the aid of Pearson VUE. The certification does not expire.
exam payment: $500Tableau desktop certified professional
The Tableau computer certified expert certification is for individuals with considerable experience with Tableau (suggested 12 or extra months of experience) who need to reveal their mastery of advanced performance of Tableau and software of visible foremost practices. The certification requires you to hold the Tableau desktop qualified associate certification and move an examination. The certification is valid for 3 years.
examination fee: $600Tableau Server certified expert
The Tableau Server licensed knowledgeable certification is for individuals with appreciable experience with Tableau Server (counseled nine or more months of journey) who wish to exhibit their architectural competencies and platform integration advantage. The certification requires you to cling the Tableau Server certified affiliate certification and flow an exam. The certification is valid for three years.
examination charge: $800
The "IBM Cognos enterprise Intelligence vs Qlikview BI comparison file" report from expertise contrast facilities has been added to ResearchAndMarkets.com's providing.
you will see how painless it's to compare and price elements and functions between alternative suites with the enterprise Intelligence (BI) application comparison file.
if you are taking into consideration purchasing a brand new application or you handiest wish to evaluate the features of your present software solution towards a few of its opponents, the findings in this IBM Cognos enterprise Intelligence vs. Qlik QlikView assessment file enable you to delve into the characteristics of your favored suites in a degree-through-point assessment.
The assessment chart allows you to carefully assess the ways through which these two distinctive options can satisfy your useful necessities.
For more information about this document seek advice from https://www.researchandmarkets.com/analysis/fvs63j/ibm_cognos?w=4
View source version on businesswire.com: https://www.businesswire.com/information/domestic/20190311005727/en/
supply: research and Markets
ResearchAndMarkets.comLaura timber, Senior Press Managerpress@researchandmarkets.comFor E.S.T office Hours call 1-917-300-0470For U.S./CAN Toll Free call 1-800-526-8630For GMT office Hours call +353-1-416-8900Related subject matters: guidance administration
Copyright company Wire 2019
Two of IBM's most time-honored analysis items, the Cognos company Intelligence and the SPSS predictive analytics kit, are headed for the cloud, the latest in an ongoing push by means of IBM to port its giant application portfolio to the cloud.
having access to any such application from a hosted environment, instead of procuring the kit outright, offers a couple of merits to shoppers.
"We control the infrastructure, and this lets you scale extra comfortably and get began with much less upfront funding," said Eric Sall, IBM vice chairman of global analytics advertising.
IBM introduced these additions to its cloud features, as well as a number of new offerings, at its insight user conference for data analytics, held this week in Las Vegas.
through 2016, 25 p.c of latest enterprise evaluation deployments can be done in the cloud, based on Gartner.
Analytics may support agencies in lots of ways, in response to IBM. It could deliver extra perception in the deciding to buy habits of shoppers, in addition to insight into how well its personal operations are performing. It could assist shelter programs from attacks and attempts at fraud, in addition to assure that company departments are meeting compliance requirements.
the new online version of Cognos, IBM Cognos business Intelligence on Cloud, can at the moment be proven in a preview mode. IBM plans to present Cognos as a full business service early next year. users can run Cognos towards records they hold in the IBM cloud, or against records they shop on premises.
A full commercial edition of the on-line IBM SPSS Modeler may be purchasable within 30 days. This equipment will consist of the entire SPSS accessories for information based predictive modeling, such as a modeler server, analytics decision management utility and a facts server.
previous this yr, IBM pledged to present much of its application portfolio as cloud functions, many via its Bluemix set of platform services.
moreover Cognos and SPSS, IBM also unveiled a few new and up to date offerings at the conference.
One new carrier, DataWorks, offers a few suggestions for refining and cleansing statistics so it is competent for evaluation. The company has launched a cloud-primarily based information warehousing provider, called dashDB. a brand new Watson-primarily based provider, referred to as Watson Explorer, offers a method for clients to ask herbal language questions about distinctive units of interior information.
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Miscellaneous SoftwarePress Release Summary:
AutomatingÂ movement of data between utility systems and advanced metering head end systems, GridstreamÂ®Â MDMS v3.3 allows utilities to establish business rules governing common processes, all while keeping detailed audit records that ensure compliance with utility business policies. Combination of refined Gridstream MDMS data with IBM's Cognos embedded business intelligence reporting software optimizes ability of utility personnel to assemble and interact with relevant operational information.Original Press Release: Landis+Gyr Announces Availability of Gridstream MDMS 3.3 Delivering Scalable Business Process Automation and Business Intelligence
ATLANTA, -- Landis+Gyr announces availability of Gridstream® Meter Data Management System (MDMS) 3.3, which features enhancements that streamline utility processes, improve efficiency and extend the benefits of advanced metering data.
As a leading meter data management platform, Gridstream MDMS automates the movement of data between utility systems and advanced metering head end systems. In version 3.3, Landis+Gyr further extends the automation functionality that allows utilities to establish business rules governing common processes, all while keeping detailed audit records that ensure compliance with utility business policies.
The new version also includes embedded Cognos software from IBM. The combination of refined Gridstream MDMS data and this industry leading business intelligence reporting solution enhances the ability of utility personnel to assemble and easily interact with relevant operational information. Utilities benefit from this ability to analyze data and provide fact-based recommendations using the most up to date information.
"Gridstream MDMS continues to deliver new ways to optimize utility interactions with advanced metering networks," said Dave Connaker, Landis+Gyr's President of Gridstream MDM Solutions. "Our exposure to the business needs of hundreds of utilities has helped prioritize product features that demonstrate real value."
In addition, Landis+Gyr recently validated the real-world scalability of Gridstream MDMS by successfully completing a performance benchmark test. Testing was based on a realistic meter-to-cash scenario that included full validation, estimation and editing (VEE) processing, in addition to generating estimated reads for a simulated read gap of 10 percent of the 1.4 billion total reads. The test was conducted on an Oracle Exadata X3-2 Half-Rack Machine with 30 million meters and recorded sustained processing of more than 427 million meter reads per hour, while only using 50 percent of CPU capacity.
"In this benchmark, we completed daily processing, including meter-to-cash operations, in just over three hours," said Gary Lutz, Landis+Gyr's Director of Technical Architecture for Gridstream MDM Solutions. "As extremely impressive as these test results are, the true test of scalability comes with deployments in actual customer environments. Gridstream MDMS is proven to consistently handle hundreds of millions of reads per day, well within utility billing windows."
Landis+Gyr is the leading global provider of integrated energy management products tailored to energy company needs and unique in its ability to deliver true end-to-end advanced metering solutions. Today, the Company offers the broadest portfolio of products and services in the electricity metering industry, and is paving the way for the next generation of smart grid. With annualized sales of more than US$1.6 billion, Landis+Gyr, an independent growth platform of the Toshiba Corporation (TKY:6502) and 40% owned by the Innovation Network Corporation of Japan, operates in 30 countries across five continents, and employs 5,200 people with the sole mission of helping the world manage energy better. More information is available at landisgyr.com.
CONTACT: Dan Jacobson, Landis+Gyr, 218-562-5195, email@example.comRelated Thomas Industry Update
Wednesday IBM informed the approximately 100,000 solution providers that sell IBM software that it is switching from an uncontrolled distribution plan, under which solution providers were free to resell the company's software products after doing little more than registering as an IBM partner, to a controlled distribution plan with the new certification requirements.
The change applies across all of IBM's software product lines, including WebSphere, Tivoli, Information Management, Lotus and Rational.
IBM channel executives said the move, which it's calling the "Growth Through Skills" initiative, is designed to ensure that channel partners have the skills to add value to the services they are providing customers and not simply moving products. They even presented it as an opportunity for channel partners to discover just what skills they have and take steps to upgrade them.
"We're now going to ask our partners to show us they are qualified from a technical and sales perspective to sell IBM software," said Shaun Jones, vice president of worldwide channel and general business marketing, in the IBM Software Group. "It's a great test of any partner's value system," he said in a phone interview.
Jones expects "the vast majority"of software channel partners to meet the certification requirements. "I think those who are providing value will do very well."
But Jones and other IBM executives acknowledged that not everyone would make the cut. Some resellers that lack the skills necessary to meet the certification requirements would simply decide it's not worth the investment to try, Jones predicted. IBM executives wouldn't speculate how many of its 100,000 software channel partners would or would not achieve the needed certifications.
Under the current uncontrolled distribution model, IBM has no way of evaluating a channel partner's technical and sales skill levels. The company has offered certification for solution providers. "But has it ever been mandatory? No," said Salvatore Patalano, vice president of business partner program sales in the IBM Software Group. He said the current situation is like a dance hall where anyone can enter after providing a name and address. "Now they've got to prove to us they can dance."
At least one partner, San Diego-based solution provider Dataskill, is applauding the IBM initiative.
"This program will ensure that the right skills are used in the sales process and on the technical side to make sure a solution is deployed properly," said Dave Kemper, a managing partner at Dataskill, in a phone interview. He said some resellers simply push IBM software as a commodity with little or no value-add or do a poor job in recommending solutions to their customers.
IBM has been selling some of its acquired software products, such as the FileNet content management system and Cognos business intelligence applications, under a controlled distribution plan known as "Software ValueNet." But most of IBM's hundreds of software products have been sold on an uncontrolled basis, IBM Software Group's Patalano said.
Under the controlled distribution plan, IBM is creating 14 product groups, such as WebSphere commerce, Lotus portal software and Tivoli security and compliance management. To sell products from any one of those product groups, solution providers must have at least two technical employees certified by IBM to work with those products and at least one sales representative that has passed IBM's "sales mastery" test for the products.
Another way for channel partners to make the grade to continue selling IBM software is to become a certified member of IBM's Value Advantage Plus (VAP) program. VAP program members build solutions that incorporate IBM middleware and are certified by IBM. Last month, IBM expanded the VAP program in an effort to increase sales to midmarket customers.
The controlled distribution plan is IBM's latest effort to get its channel partners to add more value to IBM products, such as through consulting services, rather than simply reselling IBM products. Earlier this month, IBM launched an initiative to provide training, marketing and sales assistance to help partners expand their consulting services offerings.
IBM is setting a deadline of October for channel partners to meet the new certification requirements. The company has developed what it calls the "Partner Readiness Tool," which it's using to assess the skills of software channel partners and provide resellers with a report. IBM is also developing a plan to expand education and training to help partners meet the certification requirements.
Patalano also said IBM is not making any changes in the margins or other financial incentives it offers software resellers.
Kemper said Dataskill sells software from 10 of the 14 product groups and after conducting an in-house review has concluded that it already meets the certification requirements for five of those groups. The company is now considering where it can train existing employees to raise its skill levels and how much it needs to hire from outside.
"We actually have a hiring plan related to this [IBM] initiative," Kemper said, adding that Dataskill may increase its headcount in technical areas by 30 percent and in sales by as much as 50 percent. But he was quick to add that the company is hiring to meet an opportunity, not because it feels pressured by IBM.
IBM has created a page on its PartnerWorld Web site with more information on the program at http://www-200.ibm.com/partnerworld/pwhome.nsf/weblook/pat_sw_growthroughskills.html.
Along with the three previously mentioned product groups, the other software groups resellers will be certified in are WebSphere SOA Foundation, WebSphere Connectivity, WebSphere Business Process Management, WebSphere SOA Appliances, WebSphere Enterprise Solutions, Tivoli Storage Resource and Infrastructure Management, Tivoli Automation, Tivoli Enterprise Asset Management, Information Management, Enterprise Content Management, Information Management Data Management and Rational Software.
Where business intelligence (BI) tools can take huge swaths of data and parse that into digestible data points, data visualization is the presentation portion of that equation. Think of it as the pie chart function of your favorite spreadsheet, only much more powerful. The purpose of such imagery is to quickly transfer information from the machine to the human brain, not only efficiently but also in the most meaningful manner possible. Therefore, it is not the aesthetic value of a visualization that counts but the clarity of the message it conveys.
However, the conciseness necessary for clarity does not preclude complexity in the message. Since much of the information humans must consume is complex and nuanced, data visualizations are configured alone and in groups to tell a larger story through images. An example of a single configuration is any visualization that reveals more granular or related information when the viewer clicks on or performs a mouseover on a section of the illustration. Examples of group visualizations include just about every BI app dashboard ever made.
Indeed, data visualization is such an integral part of self-service BI tools that the tools to make and publish them largely share common feature sets. As expected, in our recent review roundup of the best self-service BI products, we found the vast majority to be capable of data visualization operations.
However, customers looking to really exploit data visualization should look at these tools carefully and exclusively through that lens before making a buying decision. After all, sometimes the right tool to parse your data may not offer a sufficient visualization palette for your needs. For example, you may want the ability to build a custom infographic or create interactive visualizations, but not all BI apps provide those options. You may need to invest in a combination of tools to get both the analytics and the visualization tools you need.What Is Data Visualization?
In short, data visualization is a visual depiction of information. It is imagery dedicated exclusively to messaging or presenting information. Data visualization tools can automatically create visualizations, enable you to create your own, or offer both capabilities.
At the lower end are simpler and even free data visualization tools dedicated to building infographics rather than performing sophisticated data analytics. Some of these tools include Tableau Gallery and even Microsoft Power BI. In January 2018, Tableau introduced a new data engine called Hyper that the company claims gives users up to five times faster querying speed over previous versions. Meanwhile, in July 2018, Microsoft rolled out new features for Microsoft Power BI, such as integration of Big Data directly into the Power BI web service.
At the higher end are tools that can change visualizations on the fly, in the same way that outputs from sophisticated algorithms change after repeated direct querying of real-time data (i.e., streaming data) and across multiple data sources. The tools occupying the middle of the spectrum do not represent real-time data but still produce visualizations from advanced analytics outputs.Source: Christopher Ratcliff, econsultancy.com
The self-service BI apps we reviewed contain average to higher-end visualization tools. Some of the tools contain strong natural language query capabilities like Sisense, and others bring real-time analytics for the Internet of Things (IoT), like SAP Analytics Cloud. In short, you cannot judge the quality of the underlying analytics engine by the cover of its art package. Some very powerful analytics come with pitiful to passing visualization capabilities. Conversely, some pitiful to passing analytics come with some pretty impressive visualization features.
Since we originally reviewed these BI tools, IBM has discontinued offering IBM Watson Analytics for purchase. Instead, IBM introduced Cognos Analytics 11.1, which offers guided data discovery, automated predictive analytics, and the ability to interact with data conversationally.
There is a wide range of art depictions that data visualization tools can create. Some depictions are simple, some are complicated. Some are beautiful, some are crude. And there are some that are truly individual creations. But most spring from templates in the traditional forms associated with statistics.
The simplest examples of data visualization are the pie and bar charts you've been able to access via Microsoft Excel for many years now. But as BI has matured as a platform, so, too, have the options available to you for seeing your data and presenting it to others.
The tools we review here reflect the medium to higher end of the spectrum in BI; they're capable of performing sophisticated queries without the need to understand Structured Query Language (SQL) coding. Plus, they can render analytics in a wide variety of visual formats—going far beyond the basic bar chart to include geographical mapping, heat maps, sparklines, and even more specialized visualizations such as the spider chart below.Source: Lachlan James, yellowfinbi.com
Data visualization is not a new concept. Pie charts and bar and line graphs have existed throughout the ages. What's changed are the kinds and size of data that can be represented this way, and the many more sophisticated ways in which you can show it and share it.The Importance of the Dashboard
Ultimately, data visualization capabilities are used to build dashboards. Sometimes the dashboard represents a single, data-based story that is significant to many viewers. Or the dashboard may contain many stories for the benefit of a single user. Dashboards sometimes come with visualizations that are preset and fixed in place. Other times the dashboard's visualizations come with various display options or images that are customizable. Sharing can often be customized too, such as according to permissions, per business line, per job role pertinence, or even by personal preferences. In any case, the dashboard typically contains two or more data visualizations meant to inform and sometimes even prompt a business action or decision.Source: Mailchimp blog
Prior to the advent of self-service BI tools, executives had to present their questions to a database professional who would then try to understand it as best he or she could, write a SQL query, and representing that question against a database or data warehouse. The result would be fed to an IT person who would then write the necessary code to represent it as a dashboard on the executive's team website, on a shared app, or even just as a standalone document the executive received via email. If more than one data source was needed, then very often more than one database professional had to write separate queries (which then had to be melded together offline).
At the end of this inefficient and multistep process were analyses. You got historical analyses (i.e., information after the fact rather than in real time). These reports usually arrived too late for the business to change or influence the outcome of the activity it depicted. Thus, business analysts, department heads, and C-suite leaders typically received reports with delayed, overly simplistic, and vague information. Sometimes the information was irrelevant when it finally made its way to business analysts or the C-suite because the company had changed direction or other factors emerged in the meantime. Even so, dashboards and reports made in this way rarely changed. Things proceeded as they always had: the same questions asked, the same data queried, the same reports and dashboards generated—day after day and week after week.
By contrast, today's self-service BI apps let business analysts bypass the middlemen and unstop many of the IT bottlenecks. This self-service software also enables the use of data outside the company as well as from within, such as social media, the cloud, public data sets, and IoT data. Some self-service BI apps can use real-time data, but many are limited to near-time data (frequent refreshes). However, near-time data usually isn't a business limitation. There are actually only a few use cases where real-time data analysis warrants the extra effort and expense. After all, near-time refreshes can be as frequent as every minute or less.
With regards to self-service BI dashboards, the key value is typically threefold:
First, they don't require database expertise to use. You'll probably (though not always) need your database professional's help to set them up and connect them to all of the data sources you need. After all, compliance and security issues still remain. IT usually gets involved at least to the point of resolving those issues, determining who gets credentialed access, and how much data they can see.
Once that's done, these tools provide varying degrees of simplicity when it comes to writing your own queries. Some still work best if you know some SQL, but others work entirely using natural language syntax, rendering SQL knowledge unnecessary. However, most do require a good understanding of statistics. This necessity is not strictly from an operational standpoint, but because errors can be made in the interpretation of the outputs if the user lacks a basic understanding of statistics. Just because the software made you an excellent visualization of the machine's answer does not mean that you asked the right question.
Second, almost all of them can act as a unified front end to multiple databases and data types. This is primarily due to the rising popularity of Big Data, which is typically a combination of relational data (generally SQL-based) and unstructured data found in disparate sources both inside and outside the company's walls. By providing support for various kinds of data, these tools allow folks without database expertise—but with direct, front-line job experience—to ask questions directly against the organization's data.
This can provide immediate payback against fast-growing Big Data stores. It also enables new insights and ways to leverage data, which might otherwise be lost when those questions percolate through data scientist and IT professional filters.
A single query can span multiple databases and data types in record speeds, and the tool will take care of building the visual representation, too. In short, a team of data scientists is not required. That's not only faster but it's orders of magnitude easier.
Third, these tools can also build live data visualizations and dashboards themselves rather than forcing a separate operation from your company's programmers or IT staffers. Those visualizations can be exported as flat graphic files or as code snippets that you can just copy and paste onto webpages or team websites. Dashboards can also be directly shared, oftentimes even with users who are not using the BI app.
Integrating them with other apps is usually easily done through connectors, depending on whether or not the self-service BI app you are using has a connector to the app on which you want to share the dashboard. Some will still require some IT assistance, but even there the time required to perform the integration is often reduced versus starting from scratch with just a series of SQL queries. Those code snippets will also do more than simply render a visualization; they can also maintain their connections to the live data sources referenced in the query. This lets them change on the fly as source data changes—the primary function of any dashboard.
That certainly goes far beyond what you can get through a traditional spreadsheet. The good news is that even some spreadsheet software such as Microsoft Excel now includes data visualization capabilities. These tools can bring businesses of any size fresh perspectives on their data quickly and easily. Given that most businesses are being inundated with new data from all directions, a fast path to return on investment (ROI) is often reason enough to justify a self-serve BI or data visualization software purchase.What to Look For
Once you've made the decision to invest, you'll quickly realize that not all data visualization tools are created equal. You'll realize they also tend to focus on different aspects of data interaction. So, to find a solution that will fully meet your needs, you need to evaluate your selection carefully in terms of features and capabilities.
First, check carefully into the kinds of visualizations a tool supports. Compare that not just with the kinds of data your organization collects, but with how your company likes to consume that data. Grab a free trial and experiment with new visualizations. Many companies have standardized on a certain method of looking at their key data. Make sure any new tool can render data that way, and take the opportunity to try some new visualization methods. You may find that a new view unlocks new insights.
Second, find out exactly which data formats the query tools supports. There should be a long list that includes not just basic data formats such as SQL and NoSQL databases, but also specific apps such as Oracle or SAP Financials, sales tools such as email marketing platforms and customer relationship management (CRM) apps, and similar business platforms (especially the ones your company is currently using). And, if you're contemplating a move into Big Data processing, then support for Hadoop is critical. Hadoop is Apache Software Foundation's open-source Big Data framework that processes large amounts of data on clusters of servers.
Third, examine the degree to which a tool can drill down on all of that source data. What's required to drill down on data beyond first-tier querying? Can the tool drill down on a live data visualization? For some organizations, that can be an invaluable capability because it lets teams effectively change the story a given visualization is telling immediately, without starting from scratch. Does a "re-querying" of this kind require SQL or does it use the same natural language syntax as a first-tier query? Remember that the graphics you're building with these tools aren't simply pictures, they're intended to be live, visual windows into your business. So, being able to quickly and easily adjust that view can be critical to realizing a tool's full value.
For many industries, it's important to have an audit trail of sorts for compliance reasons on who is responsible for the data and/or analysis the visualizations depict. It's equally important information for organizations that do not face such a regulatory requirement, as it gives you more transparency and accountability within the organization. Not to mention a contact you can reach out to should you have more questions. Look for these capabilities in the publishing or collaboration features of the visualization tool.
Next, check into its exporting capabilities. Once you've built your query and visualization in the BI tool, what are your options for exporting it to where other folks can consume it? Key options here should include not just a variety of flat graphic formats (i.e., CVS, JPEG, PDF) but also code snippets that can be dropped directly onto webpages, incorporated into other apps via open application programming interfaces (APIs), and rendered in the best way possible on both desktop and mobile devices.
Finally, if your business is collecting Big Data or is about to enter into such a venture (for example, embarking on an IoT offering), then look at a product's advanced processing capabilities. Some tools act mainly as querying front ends for back-end data warehouses intended to do most of the processing your queries require. That can be difficult if the data warehouse is under a constant query load already, and it can be downright impossible if your queries will span data sources outside of the data warehouse. In such situations, the BI tool will need to provide the performance muscle to crunch your query's numbers, which means support for advanced data processing capabilities (such as in-memory processing) can be crucial. Again, when evaluating your tool using its free trial, make sure to test its performance capabilities by running as many complex queries through it as you can.
Data visualization can definitely be considered the pretty face of data analytics. It doesn't change the numbers or the questions, it simply gives you more ways of looking at them. That can be invaluable for some organizations but completely unnecessary to others. If advanced analytics is what your organization needs, then evaluate self-service BI tools based more on their number-crunching capabilities than on their visualization features. But if you're trying to bring an easier yet deeper view of all the data your organization is collecting to a wider swath of your employees, then data visualization is of prime importance. Just remember that not all people understand all images easily. People learn and ingest information in different ways. Know your audience and choose visualizations that work best in communicating with that audience.
Pros: Decent price. Quick, simple automatic report generation. Easy-to-follow interface.
Cons: Frustrating reporting features. Steep learning curve.
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: Solid natural language query in third-party applications. In-chip processing resolves bottlenecks.
Cons: Perhaps a bit complex for a self-service business intelligence (BI) tool. Analytics process needs work. Natural language features have limitations.
Bottom Line: Sisense will easily appeal to seasoned BI users with its comprehensive features, but it may frustrate novice users.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: 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: 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: 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: 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: 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
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