Big Data & Spatial Analytics Help Germany Score the World Cup

Posted by Marie Goodell on July 15, 2014

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In June, my husband and I had a delightful holiday in Germany visiting close friends. We had the privilege of watching the German National football team play in the 2014 FIFA World Cup from people’s homes and in public viewing stands along the Rhine. We missed the Germany / USA game because we were on a flight home, but when we got back to San Francisco, we continued to watch each game at home on our big TV screen. What amazed me about the entire World Cup is how the Germany National Football team kept it simple and stayed focused. Congratulations to the German National Team!

How Big Data Helped the German National Football Team Train

Aside from great talent, exceptional teamwork, and dedicated training, the team took advantage of Big Data. Working in collaboration with the German Football Association (DFB) and SAP, the team used SAP Match Insights based on SAP HANA technology. SAP Match Insights helped the team analyze matches by processing vast amount of data to help players improve their performance. Video data was captured from 8 on-field cameras and crunched into thousands of data points per second. This enabled coaches to analyze performance metrics, such as player speed, position and possession time. Coaches could then provide feedback to players via mobile devices to help them improve their game. Two recent press articles (“Germany’s World Cup Tactics: Shaped by Data“, The Telegraph and “Germany’s 12th Man at the World Cup: Big Data“, CIO) describes in detail how the solution works.

See How SAP Match Insights Works

If you happen to be at the Esri User Conference in San Diego this week, we’ll be highlighting SAP Match Insights at our demo at this amazing spatial conference. If not, check out some of these YouTube videos to see it in action and hear what others think about it:

It’s exciting to see how Big Data — including spatial analytics — is becoming more main stream, enabling all of us to take advantage of “location” to run better.

Spatial Analytics Can Help Any Team, Business, or Organization

Today, the Esri User Conference, SAP announced new spatial capabilities across SAP HANA, analytics, mobile, and business applications to help break down the silos between GIS and business data — enabling you to uncover new location-based insights and accelerate decision making.

SAP HANA is able to consume, process, and analyze transaction, spatial, and text data within one unified platform — enabling organizations to analyze location-based, Big Data to better understand what happened and predict future outcomes. With new support for Esri Query Layers, business users can now run complex spatial queries on massive volumes of data in SAP HANA without having to move data between systems. In addition, SAP HANA integrates with Esri geospatial services and content to enable business users to gain value from location intelligence. Developers can quickly develop high-performance spatial applications to help uncover new insights and accelerate decision making.

SAP Lumira has been enhanced to support geospatial analytics from Esri ArcGIS Online for agile innovation, enabling users to visualize data on a map to see new patterns and trends. Check out how SAP Lumira was used analyze and predict the outcome of several games in the 2014 World Cup series!

In addition, SAP is now delivering spatial analytics to SAP Business Suite applications through a GEO.e framework delivered by SAP Consulting. As a result, business users and field workers can now visual business data about land parcels, buildings and work orders on maps from within SAP applications, such as SAP Work Manager powered by the SAP Mobile Platform. To view these new innovations, stop by our booth at the Esri User Conference — and discover how your organization can win big with Big Data.

About the author: Marie Goodell is a Strategic Marketing Lead for Big Data at SAP. Follow her on twitter at @mhgoodell (#SAP #BigData)

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