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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Jet Global

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

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Why Do Some Companies Achieve More Predictive Analytics Success?

CIO Business Intelligence

There is growing belief that businesses are set to spend huge amounts of money on predictive analytics. While in 2021, the global market for corporate predictive analytics was worth $10 billion, it is forecast to balloon to $28 billion by 2026. One thing is certain: the adoption of predictive analytics will continue.

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Predictive Analytics Business Use Cases Ensure Results!

Smarten

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive Analytics Using External Data. Customer Churn.

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Transforming Credit and Collection with Predictive Analytics

BizAcuity

Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. Predictive Analytics, a form of advanced analytics is also making great breakthroughs in the solving the debt collection problem.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Will this next trade return a profit?

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Successful Citizen Data Scientist Strategy Starts with Planning!

Smarten

Planning Will Help Your Business Get the Most Out of a Citizen Data Scientist Strategy! Technology research firm Gartner has predicted that 50% of data scientist activities will be automated by artificial intelligence, easing the acute talent shortage. In most cases, the reason these projects fall short is because of poor planning.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.