Cloudera

SEPTEMBER 22, 2022

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 95

Analytics Insurance IoT Risk 95

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

Birst BI

OCTOBER 30, 2018

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? Today, the most common usage of business intelligence is for the production of descriptive analytics. .

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Domino Data Lab

JUNE 2, 2019

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.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110