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

Where does your system stand in terms of data modernization and your underlying systems? Are you sure your system is ready for SAP S/4HANA? Find out here.

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.

Data fuels modern business, but ensuring the quality, usability, and profitability of all that information remains a struggle. Hear what Rex Ahlstrom has to say about data governance.

Learn how you can build a successful data governance team for your organization by ensuring that your team understands data demands and can evolve with your data.

What is the primary driver behind your data migration project? A common question asked by executives. Learn how you can treat your data migration as a business process, not a technical exercise.

You've migrated data to a new system, congrats! Celebrate your great achievement, but don't lose sight of the fact that when it comes to data quality, you're just getting started.

A Data First approach can help organizations avoid problems common in business intelligence projects. Take a look at some examples of real-world projects in distress.

One thing has remained constant within every industry, and that is your organization's systems will change but your data is continuous and will live across your Enterprise Architecture.