Clubs
Managing daily and real-time data updates regardless of the sport, from tennis players average serve speed to time on base for baseball players, clubs are the data foundation of the Sport Economy and the main data engine of “Sport Tech”.
Clubs already use and generate data on performances, players, marketing, stadium, and supporters. Data Exchange enables clubs to seize many opportunities to:
- Build new data partnerships to improve fans and consumers’ experiences
- Open broader datasets to sponsors and brands as well as building data partnership with other industries such as Insurance and Tourism
- Improve internal team management and players’ health
- Optimize scouting with players’ data
- Increase the visibility and value of the club brand and assets
Federations and Leagues
Federations and Leagues have a critical need of data to help them manage events, business partnerships, and contracts. Every day, fans and supporters are looking forward to browsing sports statistics that can be leveraged. Federations and leagues can also benefit from exchanging data to:
- Diversify their business with new data services and offers
- Optimize new contracts through data-driven insights
- Enhance data quality with new data sets
- Improve global events planning (Olympics, World Cup) through data exchanges and data sharing enabling better event organization
- Building innovative fan loyalty programs with a broader range of data-based offerings
Sponsors and brands
Sponsors and brands are also “players on the field”. As Sport Tech and data exchange are transforming the Sport Economy, sponsors and brands can use new comprehensive datasets from federations and clubs to:
- Gain visibility on players statistics, value and positioning
- Optimize sponsoring contracts with players and clubs
- Increase marketing impacts
- Maximize events sponsoring, and funding with better return on investment
- Identify more adapted sponsoring channels for brands through crossing internal and external data
Retailers
The retail industry continuously collects sports data on behaviors, purchasing habits, what sport is practiced, or which team is supported. In exchanging its own data and acquiring others from the sports ecosystems i.e., clubs, retailers can:
- Improve data quality, increase market insights and analysis
- Build more relevant and customized offers
- Better manage their locality and adapt market penetration
- Increase the average customer basket
- Improve customer relationship spot-on offers
Event planners and organizers
During sports events, large amounts of data are generated by events planners and organizers. Going further by collecting new datasets will bring fresh use cases, before, during and after the events or tournaments to:
- Create exciting customer packages to enrich fans experiences
- Build new cross-industries data partnerships with the hospitality, travel, mobility and insurance sectors
- Commercialize enriched data and increase revenues
- Boost events visibility and marketing
- Enhance events attractiveness through engaging offers
Reaching the top of the podium with Sport Data Exchange
Accounting for 1700 billion of the worldwide GDP, the Sport economy represents a high potential for data companies and for the whole sport ecosystem. Thanks to Data Exchange, all sport economic stakeholders can develop and value the potential of their ecosystem by capitalizing on sport data circulation between clubs, federations, leagues, sponsors & brands, event planners & organizers, retailers or cities.
Dive into Dawex Sport Data Exchange Solution Brief and learn how to transform sport data into a power engine of new digital models and transformation.
Gain insightful perspectives on Data Exchange from peers
MIT CDOIQ Symposium 2021 put in the spotlight Data Exchange. Experts from genetic & biotech, commerce, agriculture, and travel & tourism engaged into an exciting conversation on the challenges and opportunities brought by ''Data Exchange and Data Marketplaces''.
Moderated by research firm IDC, this session gave the floor to industry leaders who shared their expertise on building successful business cases, how to get executive buy-in, how to define business and operational models.
Listen to peers sharing insightful feedback on Data Exchange challenges and opportunities.
