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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

However, businesses today want to go further and predictive analytics is another trend to be closely monitored. 4) Predictive And Prescriptive Analytics Tools. Business analytics of tomorrow is focused on the future and tries to answer the questions: what will happen? How can we make it happen?

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A manager’s story of transforming decision-making and sales with AI-powered BI and analytics

CIO Business Intelligence

As organizations struggle with the increasing volume, velocity, and complexity of data, having a comprehensive analytics and BI platform offers real solutions that address key challenges, such as data management and governance, predictive and prescriptive analytics, and democratization of insights.

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Why prescriptive analytics and decision optimization are crucial

IBM Big Data Hub

Prescriptive analytics helps identify the best course of action that can enable businesses to achieve organizational goals. Although figuring out what you should do is a crucial aspect of business, the value of prescriptive analytics is often missed.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

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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?

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Give Your Business Users Assisted Predictive Analytics!

Smarten

‘Giving your team access to sophisticated, complex analytical techniques in an intuitive environment, allows them to leverage predictive analytics without a data scientist or analytical background.’ That’s why your business needs predictive analytics. And, not just any predictive analytics!

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

Focus on the technologies and engineering components: e.g., sensors, monitoring, cloud-to-edge, microservices, serverless, insights-as-a-service APIs, IFTTT (IF-This-Then-That) architectures.