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Webinar:

Creating a robust SAP test data strategy for Heineken

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Recorded:5 November 2020
 

About this webinar:

Heineken is the largest brewery in Europe, and the second largest in the world. With over 85,000 employees, they are located in 79 countries. Currently, Heineken has more than 100 production instances and more than 300 non-production instances, making data management extremely complex.

In this webinar,  Prakash Palani presents about how Heineken changed their SAP test data management strategy, and the many benefits they are experiencing because of this change.

During the session, Prakash talks about:

  • The data principles Heineken required for DevOps
  • Heineken’s setup and challenges
  • Automation through Symphony’s orchestration
  • Scrambled development and test data for data privacy compliance
  • The benefits of using Data Sync Manager

Paul Hammersley also demonstrates some of Data Sync Manager’s functionality which all our clients can take advantage of.

Paul Hammersley
SVP ALM Product Portfolio at EPI-USE Labs

Paul has for many years been a remarkable technical force at EPI-USE Labs. As SVP of the ALM Products, his portfolio includes System Landscape Optimization, and his hands-on experience of implementing Data Sync Manager and helping clients to manage data across the breadth of their SAP landscapes is unique. He has specialised knowledge about data security and how GDPR (the General Data Protection Regulation) impacts companies running SAP.

Prakash Palani
Chief Technology Officer (CTO) of Basis Expert Consulting Services

Prakash Palani is a Technology Strategist who loves to stay updated with ever-changing technology. In his role as Chief Technology Officer (CTO) of Basis Expert Consulting Services, Prakash is in charge of the organisation's strategy and technology development, which helps their clients with their digital transformation journey. In addition to his role at Basis Expert Consulting, Prakash is also Product Architect for the data-lifecycle product team at Heineken to fulfil test data requirements originating from various DevOps teams.

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