Remove Insurance Remove Measurement Remove Predictive Modeling Remove Visualization
article thumbnail

What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

It can be used to reveal structures in data — insurance firms might use cluster analysis to investigate why certain locations are associated with particular insurance claims, for instance. Generally, the output of data analytics are reports and visualizations. Data analytics and data science are closely related.

article thumbnail

80% of insurance carriers aren’t delivering high impact analytics. Here’s how you can do better.

Decision Management Solutions

80% of data and analytics leaders with global life insurance and property & casualty carriers surveyed by McKinsey reported that their analytics investments are not delivering high impact. Begin with an agile analytic deployment platform, not with visualization. What’s stopping them from delivering high impact?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

article thumbnail

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

article thumbnail

Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers.

article thumbnail

CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

In increasingly politicized times, easily performing RLAs can provide a measure of confidence to the interested voter that elections are being run properly.” Manufacturing team members can see the geolocation of any part, tool, equipment, or vehicle with a visual representation of its coordinate in 3D space.

IT 98
article thumbnail

Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

Smarten

Use Case(s): Measure the impact of product price on product sales, measure the impact of temperature on crop yield an more. Input data: Last six months daily viewer count data, insurance claim manager can forecast policy sales for next month based on past 12 months data and more.