Remove Descriptive Analytics Remove Insurance Remove Predictive Analytics Remove Risk
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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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Improve Underwriting Using Data and Analytics

Cloudera

Insurance carriers are always looking to improve operational efficiency. In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. Utilizing a variety of data sources creates a more accurate picture of risks.

Analytics 101
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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What are the four types of data analytics? More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI).

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Because of compliance. Admittedly less Descartes, more Wednesday Addams.