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Digital Transformation
in Sports &
Entertainment Industry
Case Study

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. 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.
Challenges
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
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.
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.

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.