Precisely

FEBRUARY 23, 2024

Insurance is an inherently data-driven industry. Even before the age of advanced analytics, experts in the industry were routinely using data to assess risk and price policies. Today, data analytics plays a more important role than ever. Innovators are in a race to see who can use it to their best advantage.

Insurance 64

Insurance Data Validation Government High Quality Data 64

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NOVEMBER 20, 2023

Businesses must navigate many legal and regulatory requirements, including data privacy laws, industry standards, security protocols, and data sovereignty requirements. Therefore, every AI initiative must occur within a sound data governance framework. User trust and credibility.

Raw Data 121

Raw Data Insurance Data Retail 121

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OCTOBER 5, 2023

When we think about the big picture of data integrity – that’s data with maximum accuracy, consistency, and context – it becomes abundantly clear why data enrichment is one of its six key pillars (along with data integration, data observability, data quality, data governance, and location intelligence).

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

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MAY 3, 2023

From Raw Data to Insights: Simplifying Data Validation and Enrichment Businesses that want to be more data-driven are increasingly in need of data that provides answers to their everyday questions. How can the power of data validation and enrichment transform your business? Join us to find out.

Data Integration 52

Data Integration Government AWS Data Governance 52

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JANUARY 8, 2024

Insurance: gain a comprehensive view of property risks. Insurers can use location intelligence to help inform optimal policy pricing and prevent fraudulent claims (for example, if you know a location didn’t get hail on a particular Tuesday, you can challenge a claim that states otherwise). Read Trend 3.

Insurance 64

Insurance Telecommunication Retail Data Integration 64