Maximising Data Quality in your SAP CRM and ERP systems

Your SAP CRM and ERP systems are the lifeblood of your organisation, capturing critical customer data which can be converted into valuable business insights. Protecting the integrity and quality of the contact data within SAP is an on-going challenge when data continues to decay, there are multiple points of data entry and a reliance on users across the business to effectively maintain the data. Failing to tackle data quality issues at the point of entry and behind the scenes can result in a poor customer experience, missed opportunities, ineffective customer engagement and wasted resources.

In this session we'll explore how to better manage the quality of contact data in your SAP systems. We'll discuss:

Register for the webinar today to learn more, ask questions, and hear from our experts how our end-to-end data quality solution for SAP can help optimise the wealth of data at your fingertips.

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Speaking at this Webinar:

Sarah-Lynne Carino
Head of Presales
Experian Data Quality

Sarah-Lynne has worked in the data quality industry for over 15 years consulting in data strategy, fraud prevention and implementation of software technology. She has managed data led strategic transformation projects within geographically distributed teams and has integrated Experian's solutions across numerous industry sectors.

Sarah-Lynne is currently the Head of Presales at Experian, managing a team of consultants who regular advise on data quality and data management best practice.

Sarah-Lynne can be contacted at [email protected]

Jacky Lu - Technical Consultant

Experian Data Quality

Jacky is a Technical Consultant at Experian Data Quality and has been for almost 4 years. He has worked with a wide variety of customers, both public and private sector ranging from SME to multi-national corporations. Within his role at Experian, Jacky has worked on a wide variety of technical project including implementations and integration of Experian Data Quality tools into CRM/ERP systems.