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Prevent duplicate business partner data in SAP. How to keep data quality high in the long run.

When assessing data quality, gut feeling often dominates. But how can you make it measurable?

We will show you four steps that need to be taken into account when it comes to the quality of the data so that it ends up being a real asset.

We show you how to achieve high data quality and turn your CRM into a real favourite system.

Implement your data quality firewall - up-to-dateness, completeness and accuracy right from the data entry stage.

Away from data silos. Create the golden record and utilise the potential of consolidated customer data.

When is data actually bad, what specific costs does it cause and how can you avoid them?

...with high-quality business partner data.