Using Machine Learning to Evolve Sports Entertainment

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Consistent across time, sports organizations strive for success and to be the best. However, winning on the field is not sufficient to succeed as an organization as sports entertainment evolves. From fans changing the way they attend and watch games to sponsors changing the way they market to those fans, sports organizations need to look holistically at their operations and the connection between fan engagement, sponsorship, game/player analysis, and business operations. The team that evolves to an analytics-driven, integrated organization and connects these facets will win on and off the field.

  • Fan Engagement – By integrating multiple data sources, organizations can build an enhanced fan profile that highlights who they are, where they come from, what they bought, and their interests leading to an increased fan base, higher satisfaction, and higher attendance.
  • Sponsorship – By using an enhanced fan profile, organizations can maximize their sponsorship opportunities through targeted marketing, cross-promotions, and in-stadium advertising leading to increased customer reach and sales opportunities.
  • Game and Player Analysis – By capturing and analyzing game footage, player metrics, and conducting skill assessments organizations gain a competitive edge leading to success on the field.
  • Business Operations – By integrating business systems (e.g. financial, ticketing, CRM, etc) organizations can immediately identify how one part of the organization impacts the other leading to increased revenue and overall success.

 
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David Cunningham
About David Cunningham

DataFactory

David Cunningham has more than 19 years of Information Technology experience supporting advanced technology programs and major transformational programs within the Department of Defense, Intelligence Community, Civilian Agencies, and Commercial Clients. He is consistently at the forefront of technology evolutions to drive customer success and meet critical missions and business objectives. From architecting complex geographically dispersed systems to evolving and strategizing the transition into data-driven organizations, David has provided exceptional support to meet his clients demands for industry-leading cloud and data solutions.

About Young Bang

Atlas Research

As the Executive Vice President of Growth at Atlas Research, Mr. Bang uses his broad knowledge of the Federal market (Health, Defense, Intelligence, and Civil) to guide the firm’s growth in existing, adjacent, and new markets. His extensive experience in business development, capture, IDIQs, MACs, and BPAs positions Atlas Research for future growth and scale. He is a recognized expert and speaker in health IT, artificial intelligence, data science and big data, DevSecOps, orchestration, containerization, systems engineering, the software development lifecycle, cloud computing, product development, portfolio management, biometrics, acquisition process, telecommunications, logistics, supply and maintenance, and manufacturing.