Cloudera
SEPTEMBER 22, 2022
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. Insurance carriers are always looking to improve operational efficiency. Step one: gather the data.
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. .
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BizAcuity
AUGUST 26, 2019
The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Benefits of prescriptive analytics. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.
BizAcuity
AUGUST 26, 2019
The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Benefits of prescriptive analytics. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.
FineReport
APRIL 26, 2023
The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.
datapine
MARCH 25, 2022
While BI tells you what has happened in the past and what is happening now (descriptive analytics), BA tells you what will happen in the future (predictive analytics). Descriptive analytics : As its name suggests, this analysis method is used to describe and summarize the main characteristics found on a dataset.
Sisense
JUNE 30, 2020
The role of visualizations in analytics. Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format.
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