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Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

Smarten

Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

It includes the reports, charts, dashboards, and terminology unique to your organization. ISL helps today's business leaders understand how data answers business questions. Applied analytics Business analytics Machine learning and data science. Applied Analytics. Master data management.

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The latest edition of The Data & Analytics Dictionary is now out

Peter James Thomas

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. It includes 30 new definitions, some of which have been contributed by people like Tenny Thomas Soman, George Firican, Scott Taylor and and Taru Väre. Thanks to all of these for their help.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. For this purpose, you can think about a data governance strategy.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. By recognizing data as a product, it creates greater incentive to properly manage data.

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What is going on in the world of data and analytics?

Andrew White

This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things. Strategy is Learning By Doing.

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Is Self-Service BI a Hollow Promise or Crucial Capability?

Jet Global

Therefore, analysis, dynamic reports, and dashboards are sufficient to cover their self-service BI needs in most cases. They are skilled BI users who need a lot of flexibility and functionality for their daily work with data to answer their business problems. Business analysts make up about bout 1 to 5 percent of all BI users.