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Building a culture of data-driven decisions and insights with IBM Business Analytics

IBM Big Data Hub

In doing so, they are putting their data to work to better meet their business objectives. Ultimately, every user, regardless of skill, can now feel empowered to make well-informed data-driven decisions. Lessons from the IBM Data and AI Forum.

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The Multifaceted Value Proposition of the Cloudera Data Platform

Cloudera

I have developed this framework to help organizations not only establish the business case for investing in CDP, but also provide a mechanism to prioritize analytical investments based on specific business objectives (e.g., reduce technology costs, accelerate organic growth initiatives). query failures, cost overruns).

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What is a knowledge worker and what do they do?

IBM Big Data Hub

Knowledge workers can use them to quickly gather information about a topic, search for solutions to business problems and flesh out innovative ideas. Business analytics: Data and insights help knowledge workers make informed decisions and find new opportunities.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Employ a Chief Data Officer (CDO). 2) BI Strategy Benefits. 3) Steps To Build Your BI Roadmap.

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Incident management vs. problem management: What’s the difference?

IBM Big Data Hub

ITIL processes connect IT services to business operations so that they can change when business objectives change. It provides a library of best practices for managing IT assets and improving IT support and service levels.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Sisense supports a wide range of relational, NoSQL and big data sources. Research VP, Business Analytics and Data Science.