Social Media Talent ID

Use of intelligent analytics to proactively look for talented athletes in all sports video footage uploaded on social media

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Key benefits

Improve talent ID

by reaching out to more individuals during the scouting process

Increase efficiency

by automating processes and digital tools

Grow Olympic Success

by increasing the ‘funnel’ of talented athletes

Related personas

Student & Amateur Football Player

Rashed

Age

14
Status

Single
Country

About Rashed

Rashed is a very active teenager. He is a student athlete and football player at the Aspire Academy, excelling both in the field and his classes. He balances his time well between doing sports, studying and spending time with friends from school, but it’s no easy task. His dream is to participate at the World Cup 2022 in Qatar and is willing to do whatever it takes to get there.

Income Level

30% Income Level

Tech Knowledge

90% Tech Knowledge

Master Student

Sultan

Age

24
Country

About Sultan

Sultan is an ambitious student pursuing his masters degree in Qatar university. He likes to lead an active life, volunteering and attending events. However, Sultan finds moving around the city inconvenient and feels confined to the family driver and his availability. He would like to feel more independent in his mobility and day to day activities and to be able to practice for his national athletics competitions.

Income Level

50% Income Level

Tech Knowledge

90% Tech Knowledge

Professional Football Player

Jordi

Age

27
Status

Single
Job Title

Professional Football Player
Country

About Jordi

Having spent nearly a decade as a professional footballer, Jordi is probably at the peak of is career, playing for one of the top clubs in the world. Unfortunately, he’s just had an injury that will restrict him from playing for a while.

Income Level

90% Income Level

Tech Knowledge

90% Tech Knowledge

User Journey

1

A football freestyler regularly posts videos of his skills on social media
2

Social media platforms are ‘scraped’ to identify potential athletes
3

Intelligent analytics are used to analyze and filter out videos of talents among which the freestyler is selected
4

The freestyler’s video is sent to local scouts, club coaches, and national federations
5

The freestyler gets invited by a sports club for a trial He impresses the scouts and coaches with his performance, allowing the club to offer him a contract

More Info +

Potential Service Features

ID Identifier
Link to health records
Video sharing

Contract signing
Link to Performance Records
Link to Social Media

Contract signing
Link to Performance Records
Link to Social Media

Implementation Analysis

IMPLEMENTATION TIMELINE

progress 30%

Short
Medium
Long

TECHNOLOGY COMMERCIAL VIABILITY

progress 30%

Currently Viable
Viable in Short Term
Viable in Long Term

REGULATORY CONDUCIVENESS

progress 80%

Favorable
Challenging
Complex

INVESTMENT REQUIREMENTS

progress 50%

Small
Medium
Large

Key Implementation Consideration

High competence in mining for content in videos uploaded on social media and in building neural network models over dynamic and live data

Research phase to identify existing APIs that can be built on, entities with useful data and enablers for smart service development, and a concept design phase to develop a comprehensive PoC

To be developed and used by coaches and national federations to assess all potential talent among all age groups

Data quality monitoring to ensure effective data feed from social media scrapings and mining, in addition to efficient data processing, while ensuring robust performance through quality testing of the final deliverable