"How to Use Data Sharing for Better Customer and Supplier Master Data"
Time: 16:00 (CEST)
Speakers: Scott Taylor (The Data Whisperer) & Dr. Kai Hüner (CDQ)
Your customer and vendor master data is one of the most important data assets your company has. Its management is critical to building a strong foundation for several business processes, analysis and digitization to increase business value.
Your business leaders want better business results with the same or less resources. As a data professional you face the challenge of limited resources and high demands regarding data quality and the need for automation. To cope with these growing business pressures, it’s more important, and strategic, to “put your data to work!”
Your business leaders want better business results with the same or less resources.
Join this upcoming webinar hosted by Scott Taylor and Kai Hüner to learn:
- What is meant by Data Sharing in the context of master data management
- How data sharing for customer and vendor data works
- Why data sharing for business partner data is compliant
- Which direct benefits data sharing has
- How companies like Bosch, Bayer, Dräger, Siemens, or Novartis use data sharing to create business value
Register Now for Free!
The webinar is finished. Shortly you will be able to watch the recording here. Stay tuned!
Scott Taylor, The Data Whisperer, has helped countless companies "calm data down" by enlightening business executives to the strategic value of master data and proper data management. He focuses on business alignment and the "strategic why" rather than system implementation and the "technical how." An avid business evangelist and original thinker, he continually shares his passion for the strategic value of master data through industry events, public speaking opportunities, blogs, videos, whitepapers, podcasts, cartoons, puppets shows, and all forms of thought leadership.
Dr. Kai Hüner, Co-founder and CTO of CDQ AG, has worked several years as consultant helping companies to get better data. He is a tech enthusiast and passionate about cloud-native architecture, machine learning, and data in general. He is a thought leader for Data Sharing, in the business context.