More than 2.5 billion gigabytes of data is generated every single day. By 2020, it’s estimated that 40 zettabytes of data will be created. The sheer amount of data available today is changing nearly every aspect of our business and personal lives.
Big Data is also transforming the world of sports – from the way General Managers recruit and draft players, to how coaches set lineups and design plays and even how everyday fans watch and participate in professional sports. Today, every major professional sports team either has an analytics department or an analytics expert on staff. By 2021, the markets for sports analytics is expected to reach $4.7 billion. This year, nearly 57 million people in the United States and Canada will play fantasy sports.
At Experian, we’re fascinated with this transformation of the sports industry, in large part, because we are immersed in Big Data. Similar to the use of analytics in sports, we are in the business of compiling, analyzing and transforming massive amounts of information into actionable insights. Every day, we are using Big Data for good – to streamline processes, mitigate risk, grow the economy and improve society.
To explore the many parallels between Big Data in business and sports, we sat down with Diane Bloodworth, president and CEO of Competitive Sports Analysis (CSA) to find out more. Here’s what we learned:
What’s the mission of CSA?
Competitive Sports Analysis turns today’s overwhelming amount of data into meaningful predictions and useful analytics. Essentially, we provide coaches, fans and fantasy sports players with meaningful information that helps them make decisions ranging from which players should be drafted to which quarterback to start in a fantasy roster. Our vision is simple – to put game-changing data in the hands of as many sports fans, decision makers and influencers as possible.
What makes CSA different from other analytics tools and experts?
CSA is the only sports analytics company with patented software that merges data from both objective and subjective sources.
For college coaches, our scoutSMART app imports data from existing recruitment systems and tracks original data to help coaches make better and more-informed decisions in real-time. More importantly, it helps coaches consider “fit” when recruiting. They can customize skills based on their own system and schemes and the player’s specific position.
For fans and fantasy players, scoutPRO cuts through the chatter of pundits, bloggers and sports analysts to take the guess work out of fantasy sports. scoutPRO calculates skill ratings and converts them into fantasy points to give GMs numerical measurements for real time decisions.
In other words, CSA is different because we understand that data has to be useful. General Managers and coaches are still the decision makers, CSA is a tool to make those decisions easier.
Risk Management is a key focus for us at Experian. This is also relevant in your business, especially with injury and risk management? How can analytics help with that aspect of sports?
Just like data can be used to help recruit and draft the right players, it also has potential to maximize player performance by managing risk – helping to predict fatigue and prevent injury. We are exploring new ways to gather data points on athlete performance to help inform training, lend insight to the ideal game day lineups and better predict individual athlete performance during competition.
Is sports learning from business or is business learning from sports when it comes to Big Data?
There’s a sharing of knowledge both ways. Right now, the business world is slightly ahead of the sports world in terms of real analytics, primarily because businesses are profit-driven and that drive encourages innovation and creativity. But, because sports are universally loved and understood, they are also a good conduit for people – including business leaders – to explore analytics and the advantages that come with them.
At Experian, we agree that the sports and business worlds have a lot of commonalities, and more importantly, a lot of knowledge to share. Like Competitive Sports Analysis, Experian is distilling huge amounts of information into actionable insights to drive efficiencies and improve results. We are both providing leaders with tools to manage risk and make decisions. And we both demonstrate that when used for good, Big Data has the power to deliver positive outcomes not only in sports or business, but across the economy and society.
Don’t miss our #DataTalk with Competitive Sports Analysis this Thursday, November 5 at 5 p.m. ET on Twitter.
