Analyze Soccer with SAP Lumira and Show your Team Spirit!
World Cup Analysis Update!
7 out of 8 picks correct after the round of 16 and 3 out of 4 semi-final picks correct. View the SAP DataViz team tournament bracket analysis and predictions >
World Football Data Viz Gallery
Thanks to everyone for creating and sharing their World Cup Analysis with SAP Lumira, we've posted a collection of all the insights and analysis.
Analysis and insights from June 3, 2014
The SAP Data Viz team wanted to join the action of World Cup Football and share insights using SAP technology into which teams might make it to the finals.
SAP’s Analysis and Predictions
Using SAP Lumira and SAP Predictive Analysis, the data viz team at SAP analyzed data from all the World Cup teams to select which countries would advance in the tournament. Each selection was made based on data, removing any gut feel or country bias from the equation.
What was the data and how was it analyzed?
The team used public data from several websites including planetworldcup.com. The key statistics used included: goals, time of possession, participation in World Cups, and world rankings. Each individual match-up was compared and analyzed on a team by team basis.
Here’s an example of how we analyzed the team match-ups:
Here’s another view of comparing a historical view of points and wins:
Using SAP Lumira the team was able to ask questions of the data and investigate key statistic individually or compare with other statistics to get an overall picture of each match up. Watch this short demo video:
The next step is the share the analysis and let individuals share their data story and country pride. Visualizations can be shared to http://cloud.saplumira.com allowing others to investigate the data and come up with their own insights. Here’s a view of an interactive storyboard running on the SAP HANA Cloud, this visualization allows anyone to publically access the data and analyze team insights.
*Disclaimer: this analysis and predictions are an attempt to showcase SAP technology not accurately predict sport outcomes.
Get involved, share your analysis and insights for your favorite teams!
Here's how you can join in on the action:
Are you a hardcore soccer fan and data geek? Try this:
2. Download the SAP Lumira soccer sample data