To embark on data governance in an enterprise that spans divisions and diverse stakeholders, a well-defined operating model plays a vital role in achieving...
Data integration tools are used to collect data from external (and internal) sources, and to reformat, cleanse, and organize the collected data. The ultimate...
An organization can define its Data Quality goals and standards, and the steps needed to accomplish those goals, by creating a Data Quality framework....
Companies are more determined than ever in 2024 to improve their Data Governance (DG) programs, the bedrock that supports harmonized data activities across organizations. About 60% of corporate leaders...
Data Quality (DQ), the degree of business and consumer confidence in data’s usefulness, remains a sticking point to getting business insights and managing risk....
A Data Governance (DG) policy is a document that describes how organizations use and manage their data. These documents establish rules that help safeguard...
The life sciences industry has witnessed a surge in Data Management solution investments over the past few years. Despite these expenditures, however, these solutions...
Creating a successful Data Quality program is essential for any organization seeking to use their data for improving efficiency and better decision-making. Data of...
November 2023: This post was reviewed and updated with the general availability of Multi-AZ deployments for provisioned RA3 clusters.Originally published on December 9th, 2022....
The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management, such...
