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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI). Data analytics examples.

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Decide to Decide Digitally: New Forrester Research

Decision Management Solutions

Conflating BPM and Digital Decisioning will not help you succeed with either or with the digital transformations they make possible. We often walk clients up a simple analytic sophistication curve: Model an operational decision and automate it using business rules based on policies, regulations and best practices.

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How Freudenberg Home and Cleaning Solutions Makes Better Decisions with Enterprise-Wide Planning

CIO Business Intelligence

Shifting descriptive analytics to predictive analytics is a huge undertaking for most companies in their digital transformation. They not only make it difficult to get an overall picture across the entire company but also make businesses vulnerable to possible risks.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.