How do enterprise SAP companies improve test data quality?

About this webinar

Learn how leading enterprise SAP companies reduce refresh times, produce relevant test data on demand and maintain audit compliance for sensitive data in non-productions systems.

Why is test data important? The average organization loses $8.2 million annually on poor data quality. For most companies, their SAP system is integral to their business, and any significant outage of a particular business process, or worse – the entire SAP production system – has a potential multi-million dollar impact. This is why effective testing in non-production environments is so important. And of course, testing can only be truly effective if the test cases and the data match the situation that will occur later in Production.

The SAP data model can be complex, with different data models based on different production process that make copying and refreshing the data for project testing challenging and time consuming.

During this session, learn how leading companies are improving the quality of their test data and reducing time, resources and costs for their major projects. The integrated nature of business processes makes it impossible to keep several full copies of production in non-production landscapes. This creates a massive challenge around enabling functional analysts, testers, trainers and consultants to access the data they need to support the production system.

This session shows examples of our clients using EPI-USE Labs’ Data Sync Manager™ (DSM) solution to overcome these challenges. DSM has allowed them to copy data on demand, reduce their data volume, and refresh the test systems more frequently to bring back master data and a time-sliced subset of transactional data from production. The reduction in data volume, and simplified activities compared to a full system copy, mean much more frequent refreshes can be undertaken, while always having clean, accurate and up-to-date data supporting their immediate needs.