Data Management

In this article, we discuss the most common data migration best practices to ensure smooth migration process without interruption.

Learn the differences between data management vs data governance and how these two concepts can work together.

In this article, we will cover what is data management plan, why it is important, and how to create the perfect plan for your organization

Data is an asset. It’s also a liability. A data lifecycle management can help you ensure that your data is always protected, current, and usable.

In this article, we will cover what is data risk management? Why is it important? key data risks, and how to mitigate DMR.

In this article, we will cover the definition of data automation, its types, advantages, and limitations that can face organizations

In this article, we will define data quality monitoring, explain its importance, and what are the techniques available to monitor the quality of data in organizations.

In this article, we will define what is data quality assessment, explain why it is important, how to conduct these assessments, and what are the challenges.

Here is the ultimate guide that contains 11 tips to improve data quality within organizations in order to make the best out of the most important asset.

Data Disposition is the process of compiling and disposing of data in a responsible manner. It exists to protect the privacy of individuals and organizations.

Data migration projects are complex and many times organizations struggle with them. Here are some of the Data migration challenges you will face.