CIO
JUNE 7, 2022
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). Data analytics vs. business analytics.
Cloudera
APRIL 7, 2021
Insurance carriers have a unique opportunity: They have access to powerful technologies and a wealth of information that can help them to better understand their customers and provide an enhanced customer experience. . In a March 2021 poll by Celent , “improving customer experience” was identified as the top focus (63%) for insurers.
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TechCrunch
MAY 9, 2022
By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.
CTOvision
APRIL 16, 2015
Like others in the insurance industry, XL has long relied heavily on data analysis to understand and price its products. Actuarial science itself is rooted in using historical data to understand future risk and uncertainty. The post Minding the Analytics Gap appeared first on CTOvision.com.
CTOvision
OCTOBER 22, 2014
State officials have given up on trying to salvage a portion of the troubled Cover Oregon technology project, essentially abandoning all hope of getting any lasting benefit from the $ 240 million paid Oracle America on the health insurance exchange and … Read more on The Oregonian – OregonLive.com. Read more on opensource.com.
CTOvision
OCTOBER 18, 2013
With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. This is great for analysts!
Strategy Driven
APRIL 14, 2020
The most common risk transfer instruments are contracts and insurance. They are widely used across verticals to cushion the blow of unforeseen circumstances and allow businesses to continue their operations. AI, machine learning, and big data are driving changes across verticals. Risk Transfer Instruments.
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