Analytics & big data can act as valuable drivers in many industries by providing information that drives core business decisions. https://www.promptcloud.com

1. BIG DATA ANALYTICS TRANSFORMING FAN ENGAGEMENT AND
TEAM PERFORMANCE IN SPORTS INDUSTRY
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2. BIG DATA SPANS THROUGH THE ENTIRE SPORTS CYCLE
• PRE-MATCH
ANALYSIS
• TRAINING
• PLAYER PROFILES
• SPONSORSHIPS
• FAN ENGAGEMENT
• TEAM
PERFORMANCE
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3. • FAN ENGAGEMENT CAN
TRIGGER DECISION MAKING IN
BROADCAST CONTENT &
ADVERTISING
• FAN ENGAGEMENT AFFECTS
TICKET SALES & TRP
• FAN ENGAGEMENT CAN GET
BETTER SPONSORSHIPS THAT
TRANSLATES TO HIGHER SPEND
NEXT SEASON
• FAN ENGAGEMENT CAN
MONITOR THE TEAM’S BRAND
BY UNDERSTANDING FAN
SENTIMENTS
FAN DATA & FAN ENGAGEMENT
Fan data sources
• FAN ENGAGEMENT
• FAN SEGMENTATION
• FAN LOYALTY ANALYTICS
• DYNAMIC TICKET PRICING
• MARKETING OPTIMIZATION
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4. FAN DATA CONSUMPTION AND CLUSTERING
FAN DATA CONSUMPTION CAN BE THE BASIS FOR CUSTOMER SEGMENTATION; WITH BIG DATA WE CAN NOT ONLY TRACK WHAT KIND OF DATA
FANS ARE ACCESSING BUT WE CAN ALSO HAVE A LOCATION AND TIME BASED SEGMENTATION
Segment1
Segment 2
Segment 3
Segment4
Targeted
content,
advertising &
marketing
Targeted
content,
advertising &
marketing
Targeted
content,
advertising &
marketing
Targeted
content,
advertising &
marketing
• Create products
& services that
fans like & seek
• Further
increase
engagement
with the brand
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5. BIG DATA & ONLINE TICKET MARKET
• DEMAND GENERATION MECHANISMS
• DYNAMIC PRICING
• PERSONALISATION & CUSTOMIZATION TO IMPROVE FAN EXPERIENCE
• CUSTOMIZED DISCOUNTS & OFFERS
BY AGGREGATING ONLINE TICKET SALES, TEAMS UNDERSTAND IF FANS PREFER TRADITIONAL METHOD OF TICKETING OR ONLINE
METHOD. TICKET PRICING IS A RELIABLE WAY FOR TEAMS TO MAKE ADDITIONAL REVENUE THROUGH ANALYTICS.
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6. BIG DATA & TEAM PERFORMANCE
• DESCRIPTIVE ANALYTICS ON PLAYERS
• GAME SIMULATION
• GAME TACTICS ANALYSIS
• VIDEO ANALYTICS
• FAN DATA ANALYTICS
• TRAINING & INJURY ANALYSIS
Select best
possible
players?
Select best
possible
teams?
Select best
possible
technical
staff?
BIG DATA ANALYTICS
PROVIDES PLAYER LEVEL
INSIGHTS & SUGGESTS
THE BEST ON FIELD
STRATEGY FOR THE
NEXT GAME
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7. HOW TO EXTRACT FAN DATA?
FAN DATA SOURCES
•SOCIAL MEDIA
•SPORTS BLOGS
•TEAM /CLUB WEBSITES
•SPORTS FORUMS
WEB DATA
CRAWLING & DATA
EXTRACTION
•Twitter crawls for fan
sentiment analysis & brand
monitoring
•Site-specific crawls for
understanding fan
preference & accordingly
producing content
Teams can collect fan data by web crawling; a process that involves searching through various
components of the web to extract relevant data
• BRAND MONITORING
• FAN SENTIMENT
ANALYSIS
• TEAM PERFORMANCE
• FAN ENGAGEMENT
• SPONSORSHIPS
• BROADCAST CONTENT
• MARKETING &
ADVERTISING
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8. FUTURE OF BIG DATA IN SPORTS
• TEAMS SHOULD EFFECTIVELY CONSUME THE DATA TO DERIVE INSIGHTS
• PREDICTING THE ENTIRE OUTCOME OF THE GAME IS IMPOSSIBLE
• TECHNOLOGY ALONE CANNOT IMPROVE A HUMAN’S PERFORMANCE
• HUMAN DECISION MAKING STILL DOMINATES TECHNOLOGY AS MOST TEAMS HAVE SIMILAR
DATA BUT PERFORMANCE VARIES
Though data is powerful in providing meaningful interpretations, teams should look for ways to properly use
this data. Data without logic is just numbers.
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9. THANK
YOU!
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10. THANK
YOU!
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