Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

Germany’s Bringing Data to The World Cup

by admin
June 13, 2014
in BI & Analytics, News
Home Topics Data Science BI & Analytics
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail

In an article last week, we looked at whether data analytics could help us predict the winner of the world cup. Admittedly, it is unclear whether big data will have any effect in the predictions we make in this field, but the possibility of it being used in something as complex and unpredictable as sports is an interesting prospect. After a press conference yesterday in Brazil, it seems as though the German football team has caught onto this and is not taking big data’s importance in football lightly.

At the announcement, Germany’s manager Oliver Bierhoff, announced that the National Team has been collaborating with SAP and the German Football Association to apply big data, through SAP’s Match Insights software, to assess the performance and training of the team in preparation for the world cup. They will continue to use the software in an early adoption phase for the preparation and post analyses of the matches throughout the duration of the tournament.

“Imagine this: In just 10 minutes, 10 players with three balls can produce over seven million data points,” said Bierhoff. “SAP HANA can process these in real time.  With SAP, our team can analyze this huge amount of data to customize training and prepare for the next match.”

“Today each sports team is looking for innovative ways to gain a competitive edge over its rivals,” continued Bierhoff. “We are representing one of the most successful teams in the world. The DFB is committed to providing the German national team with the best technology to maximize their performance. SAP meets this demanding criterion.”

Moreover, SAP sees the future of big data extending further than just team analysis. The company also said that Match Insights would be useful for the media too.

“Big data is an incredible resource for coaches and players to contextualise information and draw well-informed conclusions to optimise training and tactics,” said Simon Carpenter, Chief Customer Officer at SAP Africa. “It’s high time to make this type of information accessible to sports journalism and the fans as well.”

It is believed that SAP’s software will be rolled out to other teams after the world cup. For now, we will be watching the German team closely this tournament!

Read more here

Follow @DataconomyMedia

(Image Credit: LizNN7)

Tags: Big DatafootballGermanyWeekly Newsletterworld cup

Related Posts

Windows 11 23h2 brings generative AI to your PC

Windows 11 23h2 brings generative AI to your PC

September 22, 2023
YouTube AI: Dream Screen, AI suggestions, and more

YouTube AI: Dream Screen, AI suggestions, and more

September 22, 2023
T-Mobile’s privacy nightmare continues

T-Mobile’s privacy nightmare continues

September 21, 2023
Alexa AI at its pinnacle: A closer look at the Alexa LLM revolution

Alexa AI at its pinnacle: A closer look at the Alexa LLM revolution

September 21, 2023
Kulhad pizza viral video turned out to be “AI-generated”

Kulhad pizza viral video turned out to be “AI-generated”

September 21, 2023
Everything you need to know about “Meteor Lake,” Intel’s new technology

Everything you need to know about “Meteor Lake,” Intel’s new technology

September 20, 2023

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

LATEST ARTICLES

Comparison: DALL-E 3 vs Midjourney

It’s time to shelve unused data

Windows 11 23h2 brings generative AI to your PC

YouTube AI: Dream Screen, AI suggestions, and more

Do you know how your online traffic safety is regulated?

The STEM gap: What you need to know about women in science, technology, engineering and mathematics

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy
  • Partnership
  • Writers wanted

Follow Us

  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.