Remove Insurance Remove Metrics Remove Predictive Modeling Remove Visualization
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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?

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A Guide to Building Better Data Products

Juice Analytics

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable.

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

FineReport

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Accounts in use.

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

AWS Big Data

It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights. It helps you build, train, and deploy models consuming the data from repositories in the data hub. You can collect metrics and events and analyze them for operational efficiency.

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CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Intrinsic methods – this technique is based on ANNs that have been designed to output an explanation alongside the standard prediction. Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. nn_importances.tail(25).plot.barh(figsize=(10,12));

Modeling 139