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Assisted Predictive Analytics Benefits All Team Members!

Smarten

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics?

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. Value is the most important V for businesses, as it allows for the extraction of insights that could give organizations a competitive advantage.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

This credit scoring example illustrates that while the historical activities of a credit applicant are of some interest, the real value of the historical information comes from combining the data with algorithms to produce predictive analytics. Predictive analytics can become the elusive crystal ball that companies are seeking.

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

AWS Big Data

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. This database will accept a lot of write queries back from the activation systems that learn new information about the customers and feed them back.

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Getting Started With People Analytics

Sisense

Given that the average enterprise company now has 15-19 HR systems feeding it information and 85% of leaders say that people analytics are very important to the future of HR, this clearly has to change! That’s where prescriptive analytics and assisted intelligence truly start changing how HR professionals do their jobs.

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What Is Data Intelligence?

Alation

Insights into how an asset’s been used in the past inform how it might be intelligently applied in the future. Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Why keep data at all?