Modern MDM solutions have impressive Data Quality functionality. But do they have impressive data quality? Maybe it’s time for their relationship to evolve.

Twenty plus years after the emergence of MDM and data governance, their relationship remains unfulfilled. Both have reached a stage of maturity. So why aren’t there more proof points of them working together?

Operational MDM projects that are caught in no-man’s land. In this sort of project, MDM ingests data from operational systems like CRM and ERP, match data records, and provide master data back to operational systems and processes.

Great news! You’ve implemented and migrated to your cloud MDM! But you’re not done yet. In this blog series on MDM Cloud Migration, we have explored 3 steps – planning, expertise, and execution.

In this blog series, we’ve explored Step 1 – Planning and Step 2 – Expertise. Now it’s time to talk about execution. Let’s put that plan and expertise to work.

Step 1 for cloud MDM migration was building a detailed plan. Part of that plan is a self-assessment to determine if you have sufficient in-house expertise. If you don’t, then the plan itself is incomplete. Step 2 is all about acquiring and applying that expertise.

It’s that time of year again. No, not back to school. Something worse. Annual corporate planning! For many, this is a very busy time as they continue with their day jobs while also struggling to find time for strategic thinking, analysis, and long term planning.