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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Benefits of prescriptive analytics.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics? Data analytics methods and techniques.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Benefits of prescriptive analytics.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

What are the benefits of business analytics? Business analytics and business intelligence (BI) serve similar purposes and are often used as interchangeable terms, but BI can be considered a subset of business analytics. Business analytics techniques. Prescriptive analytics: What do we need to do?

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Understanding BI Tools in Today’s Market

Smarten

Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. BI tools leverage analytics and reporting, help the enterprise manage data and user access and plan for the future.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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

BizAcuity

By 2025, AI will be the top category driving infrastructure decisions, due to the maturation of the AI market, resulting in a tenfold growth in compute requirements. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: AI in Marketing. Source: Gartner Research).