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WEBINAR 
 
WHEN SAP ALONE IS NOT ENOUGH:
UNLOCK YOUR SAP DATA
 
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To disrupt and innovate, you need access to data. All of your data. The challenge for many organisations is that the data they need is locked away in a variety of silos. And there's perhaps no bigger silo than one of the most a widely deployed business application: SAP.

Bringing together all your data for analytics and machine learning unlocks new insights and business value. Together, Cloudera and Datavard hold the key to breaking SAP data out of its silo, providing access to unlimited and untapped opportunities that currently lay hidden.
  • Which common challenges enterprises face trying to access their SAP data
  • How organisations can gain true data-driven insights by breaking down all data silos
  • Which business use cases can be realised with Cloudera and Datavard
  • Why machine learning and analytics are crucial components of doing so

MEET OUR SPEAKERS:
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Michal Alexa

Service Line Manager, Datavard

Michal Alexa heads Datavard's Data Innovation Lab team. In this role, he leads several challenging topics that include Big-Data and Data-Science integration with the SAP world. Prior this role, Michal spent 8 years in the Unix technologies world with HP, and held positions ranging from engineer to delivery line manager. Michal is both an enthusiast and evangelist for Big-Data technologies, with a specific focus on the impact it has on mankind and society as a whole. Together with his consulting team of delivery experts for both SAP and Hadoop technology, he is the perfect person to talk to for the best approach to solving your data issues.

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Wim Stoop

Senior Product Marketing Manager, Cloudera

Wim Stoop is the senior product marketing manager for Cloudera. In this role, he leads the marketing direction and strategic vision for Cloudera's mission to let organisations turn data into business value at scale. Prior to Cloudera, Wim spent more than 17 years helping blue-chip companies such as IBM, BP, and HSBC solve their most data-intensive challenges in the context of their business objectives and usage scenarios. Wim is a regular speaker at industry events where organisations are deciding and defining their big data strategy and direction. Wim holds a degree in Chemical Process Technology from the Eindhoven University of Technology in The Netherlands.