We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Denver Broncos and Olympians Go Digital
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Denver Broncos and Olympians Go Digital
AnalyticsBest PracticesBusiness IntelligenceExclusive

Denver Broncos and Olympians Go Digital

paulbarsch
paulbarsch
4 Min Read
Denver Broncos and Olympians Go Digital
Illustration generated with Qwen Image.
SHARE

The “measured life” of tracking health vital signs, calorie intakes, feces analysis and more is moving past the domain of scientists and onto the professional fields of NFL football and the 2012 Olympics. Data capture, tracking and analysis is taking precedence over “old school” ways of preparing for excellence. Will these new data driven approaches create a whole new breed of champions?

For the 2012 NFL football season, the Denver Broncos released their former strength and conditioning coach and hired Luke Richesson.  Mr. Richesson comes to the Broncos from the Jacksonville Jaguars and has a different mentality for getting the best performance from his athletes.

According to an article in the Denver Post, gone are most of the dumbbells and free weights in the Denver Broncos training facility. Now Richesson focuses on resistance training, mixed martial arts, agility drills and heavy conditioning. But Richesson knows that a new approach to strength and conditioning can only take his athletes so far. Data collection and analysis has to be part of the mix.

“These guys are like Ferrari’s”, Richesson says. And Richesson knows that while it’s ultimately the player’s responsibility to be in the best shape possible, he can provide input and guidance along the way towards ensuring maximum output on the football field. 

More Read

How Should Businesses Handle Cyber Security Risk Assessment?
How Should Businesses Handle Cyber Security Risk Assessment?
7 Lessons That Will Teach You All You Need To Know About Machine Learning
SaaS Business Intelligence Solves the Data Silo Problem
Interview: Don Springer, CEO of Collective Intellect, on Integrated Social Business & the Future of Social Media Metrics
Free BI for Higher Ed

It starts with data collection. Inputs are taken verbally and documented with iPads. Richesson wants to know what athletes eat for breakfast, lunch and dinner. He documents their sleep quality and quantity. And he has outfitted all players with heart monitors during workouts.  Richesson’s staff then uses this data to monitor a player’s workout on a real time basis. And of course, data aren’t discarded afterwards, but stored on a server for future analysis.  

“The numbers don’t lie,” Richesson says. He’s constantly looking for peaks, valleys and outliers in the data. When his staff discovers the slightest variance from baseline data, Richesson and his staff start questioning athletes as to changes in diet, sleep schedules or possibly injuries.   In effect, everything is monitored, recorded and analyzed, with the ultimate goal of creating a high performance team.

Many 2012 Olympians have a similar idea. Some are accepting use of high tech gadgets on a trial basis in exchange for providing their personal performance data.  For example, the Daily Mail notes the US track cycling team is “testing a sleep monitor, glucose monitor…and (is receiving) genetic reports on their nutritional needs and muscular capacity.”  While these are “trials” in 2012, it’s highly likely that such data collection and reporting will be commonplace in the near future.

Consistent performance and finishing strong matters for both athletes—and corporate decision makers. It’s good to see that both groups are starting to take analytics seriously in an effort to get a competitive edge.

TAGGED:business intelligencedata collectionhealthmonitoringreporting
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: A guaranteed reward can raise participation while skewing the respondent pool toward active customer
Incentive-Driven Response Bias: Auditing Sample Composition Before You Trust Survey Data
Big Data Data Quality Exclusive
Flat editorial illustration: The article’s core relationship is observable blockchain activity becoming a trustworthy business me
Blockchain Dashboards Need Better Definitions, Not More Charts
Blockchain Exclusive
Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Business Analytics vs Business Intelligence
Business IntelligenceData Warehousing

Business Analytics vs Business Intelligence

8 Min Read
The Role of Data in a Disaster
Business IntelligenceCommentaryData Warehousing

The Role of Data in a Disaster

5 Min Read
Zombie Spreadsheets
AnalyticsBig DataData ManagementJobs

Zombie Spreadsheets

4 Min Read
big data solution
Big Data

The Latest in Big Data Solution Trends

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?