Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. This gap underscores the urgent need for better data foundations.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. This gap underscores the urgent need for better data foundations.

Data Analytics 59

Data Analytics Data Governance Government Data Integration 59

Precisely

JULY 31, 2023

For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs. In the context of improving their organizations’ data integrity , respondents cite data quality and data integration as priorities for 2023 and as challenges to data integrity.

Data Integration 52

Data Integration Telecommunication Data Governance Government 52

Precisely

OCTOBER 5, 2023

According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

Precisely

JANUARY 8, 2024

Some businesses have heavily leveraged location intelligence for years – like real estate for property valuation, insurance for property risk assessment, and telecommunications for service coverage mapping. But, only 46% rate the quality of their data as “high” or “very high.”

Insurance 64

Insurance Telecommunication Retail Data Integration 64