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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. The discipline is a key facet of the business analyst role. Business analytics techniques.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

The casino business is one that is booming quickly. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

The casino business is one that is booming quickly. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 2019 was a particularly major year for the business intelligence industry.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. Well, that statement was made five years ago!

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.