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What is Predictive Analytics and Can it Help You Achieve Business Objectives?

Smarten

Can Predictive Analytics Help You Achieve Business Objectives? If an organization wishes to be successful in the market and in its competitive efforts, it must accurately forecast and predict the future of its business, plan for new locations and products or services, and optimize internal operations.

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BusinessObjects and PowerBI May Lead to Hair Loss

Paul Blogs on BI

Whereas Tableau is a true Business Intelligence tool built for business users, PowerBI is more of a tool built for IT programmers that can be used by business users. The real issue is integration with BusinessObjects.

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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

My prominent achievements include managing the intricate implementation of GST and its setup in L&T in 2017 and at Havmor, where I recently completed 5 years, the SAP S4 HANA Greenfield implementation. Could you tell us how digital innovation works in the backend of a customer-facing business like Havmor?

IT 93
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4 key roles that define transformational IT leaders today

CIO Business Intelligence

Chief empowering officer When Mike Cleary joined Sentry Equipment in 2017 as IT leader, it was a new role for the global manufacturing company based in Oconomowoc, Wisc. And, like a business franchise, they are establishing the standards for performance, security, reliability, and legal compliance,’’ Tyler says. “In

IT 111
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Goodbye Oracle Discoverer, Hello Next-Generation Reporting

Jet Global

Note that extended support for Oracle Discoverer ended in 2017. It’s also important to consider your business objectives, both inside and outside finance. Migrating to the more complex and expensive Oracle Business Intelligence Enterprise Edition (OBIEE). That way the replacement is an actual upgrade.

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What Is Data Intelligence?

Alation

HBR Review May/June 2017. Data Intelligence and Metadata. Data intelligence is fueled by metadata. For this reason, data intelligence software has increasingly leveraged artificial intelligence and machine learning (AI and ML) to automate curation activities, which deliver trustworthy data to those who need it.