datapine

OCTOBER 21, 2020

By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package. 8) Predictive Analytics In Healthcare. with the impossibility to communicate properly.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Birst BI

JANUARY 16, 2018

For example, in a health insurance environment, the BI system could pinpoint which precursor conditions are most closely associated with a medical event—a heart attack or a specific type of cancer—across its entire insured population, providing insight for preventive care, claims and premium analysis.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

Domino Data Lab

JULY 28, 2021

These advances have had huge ramifications across industries ranging from finance and banking to healthcare and insurance. They have enabled new cross-industry applications, such as in customer analytics and fraud detection. Improvements in storage have made it possible to capture, manage and use this data in as fast as real time.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

APRIL 22, 2024

“But we took a step back and asked, ‘What if we put in the software we think is ideal, that integrates with other systems, and then automate from beginning to end, and have reporting in real-time and predictive analytics?’”

IT 101

IT Data-driven Strategy Consulting 101

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” You know, companies like telecom and insurance, they don’t really need machine learning.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

MARCH 18, 2021

Banks and insurers facing the FRTB transition need to ready themselves to manage an increased variety of data, including new sources, both real-time and batched. FRTB also puts a spotlight on all the data sources that a company may be utilizing and on the management and governance of the data used in complex models.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Domino Data Lab

JUNE 2, 2019

To do this, first review quantitative decisions being made by staff – for example, settlement prices quoted by insurance claims adjusters. Then calculate the variance divided by the mean to construct a metric for noise in decision-making. For kicks, try calculating this kind of metric within your own organization.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Occam's Razor

JANUARY 8, 2018

Predictive analytics. If you are a reader of my newsletter, The Marketing < > Analytics Intersect , you’ve seen me apply it to metrics (last TMAI was on Bounce Rate), reports, frameworks and more. I’m blessed to have health insurance. Multi-petabyte data warehouses. Media mix modeling. Heal it is.

Sales 133

Sales Predictive Analytics Insurance Data Warehouse 133

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52