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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation.

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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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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

Infor offers applications for enterprise resource planning, supply chain management, customer relationship management and human capital management, among others. Use cases are proliferating, including tasks or managing details that outwardly seem trivial but result in a substantial gain in productivity and improved performance.

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How to improve manufacturing ROI with prescriptive analytics

IBM Big Data Hub

The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while managing production costs efficiently.

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Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do? Cognitive Computing.

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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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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. We no longer should worry about “managing data at the speed of business,” but worry more about “managing business at the speed of data.”.