Author: Kartik Patel

Guarantee BI Success: Achieve! Accomplish! Do it Right!

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December 13, 2016

Guarantee BI Success: Achieve! Accomplish! Do it Right!

In our first article in the two-article series, entitled ‘Guarantee BI Success: Why Self-Serve BI Initiatives Fail‘, we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Factors like poor User Adoption, Data Access, Features and Benefits, Self-Serve Analytical Capability, Data Sharing and Reporting, Cost vs. Benefit, and Data Discovery issues must be considered in order to ensure the success of your self-serve business intelligence initiative.

Guarantee BI Success: Why Self-Serve BI Initiatives Fail

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November 17, 2016

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Many organizations have invested time and effort in launching a self-serve business intelligence initiative, only to find that the initiative has failed to deliver the anticipated results. When this happens, organizations often struggle to understand why and how things went wrong. There are numerous reasons for a self-serve BI tool initiative to fail or to fall short of expectations. In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation. This article is the first in a two article series, entitled ‘Guarantee Business Intelligence Success’, related to the success and failure of self-serve BI Initiatives.
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Look, But Don’t Touch! The Gap Between Data Visualization & Data Discovery!

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October 26, 2016

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At some point in your life, you have probably been told to ‘look, but don’t touch.’ When it comes to business intelligence, the flaw in the logic of solution design often subjects business users to this same philosophy. With most BI tools (even those we call ‘self-serve’), we limit the users to looking but we don’t allow them to touch and manipulate the data for deep dive analysis.
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Feed Your Organization: Avoid Packaged BI. Choose ‘Fresh’ BI Tools!

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October 6, 2016

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In a way, choosing a business Intelligence tools is like choosing the right food. In recent years, we have all become more aware of the difference between packaged foods and fresh foods. Today, businesses are becoming more aware of the differences between ‘packaged’ BI tools and self-serve BI tools that provide ‘fresh’ views and data analysis.
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A Summary of the Myths and Confusion in Business Intelligence

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September 9, 2016

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Debunking Common Business Intelligence Myths

A Summary of the Myths and Confusion in the Business Intelligence Market

This article series is entitled ‘Debunking Common Business Intelligence Myths’. The information presented in this, the seventh article of the series, summarizes the myths and cuts through the confusion to help you choose the right BI tool for your business and business users.

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You Need Data Scientists for Predictive Analysis– Myth#6

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August 19, 2016

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Debunking Common Business Intelligence Myths
Myth #6: You Need Data Scientists to Employ Predictive Analysis in Your Organization

Every enterprise, large or small, must have access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets. When organizations undertake the process of researching and selecting a business intelligence tool they find that the market is crowded with all manner of tools and that the claims and myths surrounding the BI tools market can make it very difficult to sort through the confusion and select a business intelligence solution that is right for business users and for the enterprise.

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Mobile BI for Business Users is Too Expensive – Myth#5

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July 19, 2016

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Debunking Common Business Intelligence Myths
Myth #5: It is Expensive and Time-Consuming to Give Mobile BI to Business Users

There is no way to avoid the hype and claims swirling around the business intelligence market today. But, if your organization is trying to institute a self-serve BI initiative, choose a new BI tools solution or change from one BI solution to another, it must first debunk the myths surrounding the market and dispense with the market hype. Otherwise, the enterprise is not likely to achieve its goals, empower its business users or enjoy the rapid ROI and low TCO it requires. If you find it difficult to sort through the buzz and choose the right BI tools, don’t be discouraged. We can help!

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Gartner BI & Analytics Summit 2016: My Take

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June 17, 2016

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On June 7 and 8, the ElegantJ BI team attended the Gartner Business Intelligence, Analytics and Information Management Summit in Powai, Mumbai, India. We were honored to be a Silver Sponsor for this Summit. The theme of the Summit was Information & Analytics Leadership: Empowering People with Trusted Data, and the Summit did not disappoint, and it was a really vibrant, exciting experience!

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The Summit included panels and speakers from all over the world. This year, the event was bigger and better than ever, with more than 600 people in attendance. The food and hospitality were great. The only issue we faced was poor air conditioning, but we persevered!

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You Don’t Need KPIs or Balanced Scorecards to Manage Corporate Performance – Myth-4

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May 13, 2016

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It is easy to get confused by the plethora of business intelligence tools and claims in the BI tools market today! But, there is no reason to be discouraged. Your enterprise can cut through the confusion, debunk the BI market myths and make the right decision for the business and for your business users. Choose a tool that will truly empower your business users and allow you to hold users accountable for results and work as a team, with collaborative features and sophisticated, yet simple, self-serve, mobile tools for every user in your enterprise.

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Lose the BI Business User Blues

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April 12, 2016

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There is a lot of noise in the BI marketplace regarding ‘Self-serve BI’. And that is good. As a result, every business understands the value of self-serve BI and data democratization and most businesses are actively working to provide that value to the organization and to the business users by empowering users to make swift, confident decisions.

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