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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Business applications & the birth of BI. Since the dawn of business applications, the fundamental purpose of these applications has been to increase the efficiency of business processes.

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Tips for Successful Data Science Implementation in Insurance

Decision Management Solutions

Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science implementation. 1 – Getting business buy-in.

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ADP’s cloud transformation pays dividends

CIO Business Intelligence

These HCM services include applicant tracking, compensation, talent, and learning management, as well as insurance and retirement services. ADP’s innovation lab has already developed many machine learning models and predictive analytics that exploit the company’s data cloud.

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AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

When you hear the words “artificial intelligence,” (AI) what’s the first thing you think of: robots doing backflips , Alexa , medical diagnostic innovations or something else? If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind.