The authors of »Introducing SAP Master Data Governance (SAP MDG) on SAP S/4HANA«
Dilip Radhakrishnan has more than 15 years' experience in the enterprise software industry, designing and architecting enterprise solutions for companies globally. He has extensive experience in data management, specifically master data management, data governance, and data quality management. He has worked with a variety of SAP customers from a number of industries to implement end-to-end data management solutions. Currently Dilip is responsible for the enterprise information management portfolio in the SAP Value Prototyping team. Together with his team of experts, he works on piloting and prototyping solutions for some of the most complex EIM customer cases. Dilip was also the solution architect for SAP MDG for the retail and fashion industry before it was converted into a standard product.
Syama "Srini" Srinivasan is an SAP certified professional and principal platinum consultant in the SAP North America Enterprise Information Management consulting team. He has more than 22 years of experience working with SAP software. Throughout his career he has implemented SAP solutions, and defined best practices, processes, strategies, and methodologies for enterprise master data management solutions. Srini was also involved in product testing and customer validation projects for SAP HANA SDI and SDQ and SAP HANA ADP. He has worked on several complex master data governance implementation projects across a variety of industries and is currently engaged in implementing SAP MDG for some of the top global companies and corporations in North America.
Manage your SAP S/4HANA and SAP ERP master data with this hands-on guide! Walk through implementing, configuring, and using SAP Master Data Governance, both on-premise and in the cloud! Whether your organization requires custom applications or works with out-of-the-box central
… More about the book
E-book | Print edition | Bundle
Consolidate, process, and govern SAP ERP and SAP S/4HANA master data
Develop data models, improve data quality, and create custom applications