Precisely

NOVEMBER 18, 2024

Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. 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

Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. 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

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Data security and privacy (45%) and data governance (41%) rounded out the top tier of 2023 priorities.

Data Integration 52

Data Integration Telecommunication Data Governance Government 52

Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

JANUARY 18, 2024

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

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