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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Predictive Analytics: The Next Frontier of Business Intelligence

Sisense

Sadly, many companies are stuck using outmoded analytics that give them static, historical reports that only describe what has already happened and are useless in planning for the future. Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data.

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Predictive Analytics Use Case: Online Target Marketing!

Smarten

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Predictive Analytics Using External Data.

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Finding the Right Reporting Narrative in Banking and Insurance

Jet Global

when it comes to the banking and insurance industry, things get a little different. On the insurance side, new regulatory reporting requirements are increasing the number and frequency of required calculations, revisions to financial statement presentation, and increases in financial statement disclosures. So How Did They Do It?

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

One of the most notable areas where data analytics is making big changes is healthcare. In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general. 1) Patients Predictions For Improved Staffing.

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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. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

The Danger of Black-Box AI Solutions We believe the best, most pragmatic solution for AI in financial services and insurance is what we call–“Trusted AI.” The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Plan to scale for the future.