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Enabling Digital Transformation with SAP Lumira

Sponsored by SAP

Date: Tuesday, November 21, 2017

Time: 11:00 am ET/ 8:00 am PT

Duration: 60 minutes (including Q&A)


Steve McHugh
Director, BI Enterprise Marketing,

Blair Wheadon
GM of Data Discovery,

Patrick Sims
Sr. Director in the Global Center of Excellence for Analytics,

What’s the role of data and analytics in fueling digital transformation? 

Digital transformation requires new ways of thinking about data and how it is used. It also requires breaking data siloes and process barriers that prevent business users and IT from coming together. To become the agile and adaptive business today’s customers demand, companies must do more to harness the abundance of data across the enterprise and put it to work at the speed of business. 

SAP Lumira addresses this challenge by offering companies a fresh and bold approach, combining self-service data discovery and interactive dashboard and analytic application creation in one solution. With optimized connectivity to SAP systems, it delivers breakthrough performance and insight. Now everyone can have confidence the numbers are right and that time isn’t wasted on managing data silos and shadow IT tasks. 

Join this webinar to see how SAP Lumira can provide you with the transformational capabilities you need in the digital economy. You will learn how SAP Lumira: 
  • Brings business and IT teams together under a single solution that allows business users to rapidly prototype and promote insights to IT for enrichment 
  • Simplifies analytics for users and administrators by delivering an exceptional, simple- to- use interface and experience 
  • Increases self-service user adoption by easing the learning curve for business users to create and consume analytics and reduces the time and cost burden for IT 
  • Provides optimized, timely access to governed data in the SAP BW, SAP HANA, and Universes, delivering the best analytics performance on SAP systems 
  • Ensures enterprise-wide access to governed, secure, and timely data, eliminating the need for stale periodic data extracts, data siloes, and shadow IT projects 

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