Digital Transformation in Sports & Entertainment Industry Case Study (1)

1. Digital Transformation in Sports & Entertainment Industry Case Study www.nuvento.com

2. Client Requirement A major sports league with 30 teams, over 30 million television viewers, and an average attendance of 18,000 for their games wanted to monetize and digitize their fan ecosystem.

3. Challenges A sports league of this size has numerous data sources to account for. Customer data for our client comes from 20 different ticketing systems, enterprise CRM, email campaigns, Google Analytics, other partner companies, and reports. Before sharing data with data scientists and analysts, it is critical to anonymize these personally identifiable details. Advanced data visualization and analytics capabilities are required to channel insights and useful information to the management, support, and marketing teams.

4. Our approach We researched how artificial intelligence and business intelligence technologies could be applied in our client's sporting landscape. To monetize the fan ecosystem, our AI solutions would have to add value and richness to the sporting experience on a continuous basis. We were able to meet our client's expectations by creating a set of solutions that add value to management, marketing, and fans alike. Each of these ecosystems necessarily requires a different set of analytics and data, and the following is a list of solutions we provided to the client in order for them to achieve digital transformation in the sports industry.

5. Our technology solutions to enhance the sports marketing ecosystem

6. Segment analysis Identity resolution Our identity resolution system associates customer behaviors with unique customer identities. This enables organizations to target their customer segments with highly personalized offers, resulting in higher ROI while improving customer loyalty. One of the key capabilities that our system provides to our client is the ability to create customer segments from behavioral data. Our segment analysis technology enables our customers to create meaningful customer segments based on geography, demographic, behavioral, and psychographic data. Insights from our customer segmentation analysis can have a direct impact on merchandise and ticket sales.

7. Merchandising Merchandising is one of the most important revenue generators in the sports industry. Identifying and engaging fans with the right products at the right time can significantly boost merchandising revenue. This was made possible by our advanced analytics and identity resolution solutions.

8. Our technology solutions to enhance the sports management ecosystem

9. Team, venue, and ticketing management Our ticketing solutions include a single platform that allows a league to effectively coordinate all administrative, ticketing, venue, and team management tasks. This allows our clients to free up their resources from time-consuming administrative tasks and allows fans to purchase and renew tickets online. This platform can also manage sponsors and media partners.

10. Sponsorships Sports leagues that can calculate an ROI for sponsorships using artificial intelligence can show their sponsors the value of their advertising spend. Our video/image recognition AI algorithm can quickly scan through video content from sources such as TV, live streams, and online archives, performing object recognition to track how many times a brand logo, person, or other targets appear over a season's worth of footage. Sponsors can use such data to identify the best properties to sponsor.

11. Popularity forecasting Popularity trends of sports leagues are of critical importance to advertisers and businesses with an interest in sports leagues We used data from Google Trends, an analytical tool that allows users to compare the popularity of search terms over time and across geographical locations. We developed models to forecast the popularity of league games in each season using time series forecasting system.