Remove 2011 Remove Business Analytics Remove Risk
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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

The term “agile” was originally conceived in 2011 as a software development methodology. Through agile adoption, organizations are seeing a quicker return on their BI investments and are able to quickly adapt to changing business needs. Accept change.

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Resilient Narrative Financial Reporting and Remote Collaboration

Jet Global

How to drive a winning digital transformation strategy that reduces disclosure risk and puts your finance team in control of their data narrative. Lorraine joined Certent in early 2019 and has been involved with Disclosure Management, specifically CDM since 2011. Lorraine Venter, Certent Inc, an insightsoftware company.

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Fact-based Decision-making

Peter James Thomas

A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model). Especially for all Business Analytics professionals out there (2009). [7].

Metrics 49
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Data trust and the evolution of enterprise analytics in the age of AI

CIO Business Intelligence

The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, However, due to its vast application, predictive analytics should not concern only business professionals.

Big Data 263