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For manufacturers, the most valuable lessons in data management before, during & after a merger and acquisition include three important steps. See what steps need to be taken to achieve quality data.

Learn about the six key areas of information governance business processes from Senior Director of Product Management, Tyler Warden, featured here in Information Management.

Learn about the differences between implementing a data migration versus a data modernization aimed at high quality data tuned to execute the business processes of your organization.

Three strategies can help with data modernization efforts, says Rex Ahlstrom of BackOffice Associates. Learn about those three strategies to improve your data quality here.

When data is no longer needed, it is no longer needed for a reason. Learn how to get a smoother running system with less data waste.

Having active data governance business processes in place can prevent invalid, irrelevant, non-business ready data from ever reaching your systems of record.

Learn how to get high performing data cleansing and flow and tracking of data cleansing for your enterprise data when establishing effective business processes.

The first step in reaching six sigma data quality is to create data standards to use in monitoring your data. Now it's time to start tying your business process together.

The first and often most important aspect of the business process of planning around information governance lies is in the assessment of the current state of your data. Learn why.