Big Data BizViz Sports Analytics

BizViz Platform for Sports Analytics
360° View of Your Sports Data

 Introduction to Sports Analytics
 How Sports Analytics has been changed in Big Data & IOT era
 What are the Key Ingredients of a good Sports Analytics Platform
 Introduction to Big Data BizViz Platform
 Sample Deployments of Sports Analytics
 Cricket World cup 2015
 Indian Premier League 2015
 How BizViz Platform can be used to create Sports Analytics Platform
Agenda

Introduction to Sports Analytics
Sports Analytics size was 125 m$ in 2014 & expected to cross 4.7b$ by 2022.
In Digital World Sports Analytics Comprises of -
 Player Analytics – Past Performance, Current Form, Predictive performance on Past, Current, Physical
Condition and many other dimensions,
 Operational Analytics – Clubs, Operational Bodies, Boards – P&L, Financial, Sales of Tickets, Branding,
Merchandizing, ROI on players etc.
 Coaching Decisions – Competitive Analytics, Past Performances, Venue Analytics, Real time Decisions,
Prescriptive Analytics on different opposition etc.
 Digital Experience – Ad Hoc Analytics, Predictive Analytics, Sentiment Analytics, Demographic
Analytics, Big Data Analytics for TV Programs, Commentary etc.
 Fan Insights and Engagement – Self Service Analytics to Fans, Analytics based Gaming, Real time
analytics to help fans engaged on betting or discussions etc.

How Sports Analytics has been changed in Big Data & IOT era
 Digital Revolution, IOT and Big Data is responsible for making Sports Analytics become 40 times
in 8 years.
 Social Media, Cloud and Mobility has added Spice to Sports Analytics
 Real Time Sentiments are read from Twitter, Facebook or other Sporting websites.
 Demographic Analysis is possible to differentiate between geographical emotions
 Machine Learning, Real Time data feeds (IOT), Advanced Predictive Algorithms, Fitness Tests of
Players etc. helps Top end Analytics firms to create a different level of Data Analytics
 Sports that has started using Extensive Analytics – Soccer, Tennis, Baseball, American Football,
Basket ball, Cricket.
 At present this is happening at National Level, League level or in sports having lot of money
 Slowly Analytics is moving at Club Level, regional level and other sports.
 Fans can also access real time data feeds, Gaming through Analytics etc.

Player Predictive Analytics
There are many factors in Winning. Player predictive analytics helps player (s) and improve overall
game performance in different situations.
 Gives Player past performances | Overall |Venue related | Current Form
 Players play-by-play effectiveness on live performance
 Anticipates players strength and weaknesses against the opposition
 Biometric data
 Tools help to find right player for the game (Selection analysis)
 Awards Ranking through predictive analysis of players performance

Operational Analytics
Front office – On & Off the field to set a perfect game plan
 Design Campaigns – Retain Fans, Add new Fans towards the Game or Franchise
 Better Revenues – Increase the accuracy of Front office & Optimize revenue during the game
 Pricing Model – Use different predictive analytics to come with a Pricing on different market
segments
 Sponsor’s Returns – Sponsors gives money to Sport & how to maximize their ROI? Prescriptive
Analytics to Sponsors.
 Merchandising and Managing Fans Emotional Connect – Give discounts to loyal fans etc.
Engage fans on Gaming, Merchandizing etc., make Analytics simple for fans to use to increase
their interest in the game.

Coaching Decision Analytics
There are many factors in Winning. Player predictive analytics helps player (s) and improve overall
game performance in different situations.
 Coaches can collect real-time data of players from wearable sensor technologies (IOT).
 The data can be analyzed in high end servers and real time analytics pushed to managers,
trainers, Physiologist and other coaching staffs on their mobile devices
 Live feed of players can be provided on few parameters (different sports need different things)
 Speed | Heart Rate | Breathing | Hydration | Fatigue | Pain like in Soccer
 Technique | Reflexes | Running Speed | Bowling Speed | Ball Speed like in Cricket
 Coaches can help in identifying flaws and weaknesses of a player or entire team and help them
overcome it.
 Based on insights provided by data, coaches can decide to rest some player and use some
specific player against a specific opposition on a specific venue etc.

Enhancing Digital Experience
Big Data Analytics makes this special – Game is on & It can be personal
 Telecasts can show Fans Sentiments from Twitter | Facebook | Club or League Website etc.
 Sporting team can directly engage with their fans through their Leagues website.
 Fans sentiment can be gauged before, during the match and after the match
 Social Media is on fire with engaging and creative player stats.
 Platform should provide them comparison with Fantasy drafts which adds to personal
experience
 Adding graphic based analysis helps in better commentary
 Deeper Analytics aids to expert commentators that makes overall program interesting

Fans Insight and Engagement – The Key to Success
Building a loyal Fan base is extremely important and now it is quite easy to know where & who is
your fan. Teams can really analyze and take logical steps to increase their fan base
 Read and Analytics Fans Sentiments from Twitter | Facebook | Club or League Website etc.
Most of them are on Social Media.
 More personalized content can be created for a Fan using Data Analytics
 Fans can be given access to do deep dive in Analytics by themselves
 Fans can be asked to participate in Games or to create their own fantasy teams and track their
performance
 Match Insights ignites the conversations, discussions between Fans. This is healthy for game.
 More Engaged fans means more business opportunities – Merchandizing etc..
 Mobile updates to Fans engage them further

Key Ingredients of a Sports Analytics Platform
 Vertical & Horizontal Scalability – Ability to add features and no of users dynamically
 Complex User Management – B-B-C Business User Workflows
 Data Security – Fans, Clubs etc.
 Cloud based access, Analytics on Mobile
 Social Media Analytics – Sentiment Analytics (ability to read data from Social Media)
 Ability to manage high loads (during Match time) and reduced loads (during non sporting
days)
 Predictive Analytics Tool – Strong Data Scientist team with sports expertise
 Ad Hoc Analysis capabilities for everyone
 Strong UI and Visualization tools to give Advanced Analytics
 Ability to take Polls and Surveys and Feedbacks from Fans on a real time basis
 Ability to create a Fan page and engage then One on One
 Ability to capture Data from different Databases – Structured and Unstructured
 Real Time Analytics, Push Analytics, Pull Analytics
 Real Time Messaging Services, In-Memory Computing for analytics in fraction of seconds
 Distributed deployment

Introduction to BizViz Platform
Most Suitable Analytics Platform to create a Sports Analytics Platform

BizViz Architecture Overview
 Vertically & Horizontally Scalable
Platform
 Integrates with R & Spark M-Lib
for Predictive Analysis
 Integrates with comprehensive list
of Big Data Components – Kafka,
Cassandra & Spark
 SMAC (Social Media, Mobility
,Analytics, and Cloud) Compatible
Platform

Sports Analytics – Cricket World Cup 2015
Match Sentiments - This tab uses our proprietary Sentiment Analytics NLP/Algorithms. This tool has the capability to do
Text Analytics on the fly and can extract text data from Social Media platforms, websites, etc... and push the data into a Big
Data Engine. We then use our NLP capabilities to determine emotions and visualize them via various charts. through our
HTML5 charting Library. This real-time analytics shows Fan’s Sentiments and involvement in the game.

Players of the Day - This tab uses our plugins called 'Social Media Browser' (SMB). On a nearly real-time basis (data is
refreshed every few minutes but can be refreshed every few seconds by using more capable servers) we are able to extract
relevant data from Twitter and determine which player have Positive, Negative, or Neutral Tweets. We can also collect many
other parameters and plot them on various type of charts on a real-time basis. The tool has the capability to extract data
from Twitter, Facebook and other Sporting websites. This gives us the ability to analyze feedback and sentiment around any
brand/product/person. We can then visualize these emotions within minutes.

Popular Match Analytics - This tab again uses the power of the 'Social Media Browser' to visualize the popularity of
various players and teams. This tab also tracks the overall popularity of the tournament as a whole and shows how people
are getting engaged as the tournament progresses. This type of analytics is very useful for large corporations to track.

Predictive Analytics– Predict the Winning Team dashboard
 A Predictive Model was built in by our data
scientist team
 Players were given points on the basis of
Algorithms built in
 Player Scorecard was built on the basis of
their performance and current forms
 System provided ability to choose 11
players dynamically and calculate scores
 System could predict the Winning Team
 Venue Analytics, Match Conditions &
other factors need to be brought in to
make Algorithms work better

Cricket World Cup 2015 – Predict the winning team
Our
Accuracy
42/47

Cricket World Cup 2015 – Push analytics – over by over prediction

IPL 2015 Analytics – Live Tweeting

How BizViz Platform can be used to create Sports Analytics Platform
 It already has all Key Ingredients to a build a Sports Analytics Platform with a dedicated
business workflow and user management for
 A Player
 A Coach
 A Team
 A Sporting Body or League or Club (Super Admin Login)
 Fan
 Data Security – All users
 SMAC is in built – Social Media, Analytics, Cloud based platform and Mobility
 Social Media Analytics – Sentiment Analytics (ability to read data from Social Media)
 Plugins to Provide all type of Analytics – Self Service, Predictive, Big Data, IOT, Mobile Analytics
and Advanced Analytics
 Ability to take Polls and Surveys and Feedback Analytics on a real time basis
 Ability to capture Data from different Databases – Structured and Unstructured
 Real Time Analytics, Push Analytics, Pull Analytics
 Real Time Messaging Services, In-Memory Computing for analytics in fraction of seconds
 Distributed deployment

Suggested High Level Deployment
 Multiple Node
Cluster at
different
Geographies
or Specific
 Staged
Deployment
5k, 10k, 50k,
100k, 200k or
more users
 Predictive
Engine to be
used for
Recommenda
tions.

iii
Thank You
For further information, please contact:
Phone: (773)897-0939
e-mail: Sales@bdbizviz.com
Twitter: @bdbizviz

Big Data BizViz Sports Analytics

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