Big Data and Analytics are playing an important role to improve the performance of game and players on the field, off the field through predictive decisions.
Analytics & big data can act as valuable drivers in many industries by providing information that drives core business decisions. https://www.promptcloud.com
Use machine learning techniques to predict sporting events. Learn about how sports betting works and how to apply predictive analytics to gain a potential edge.
Data analytics have changed the game and are vital in helping team managers, coaches and players ensure they’re prepared to win. Since preparation is key to winning, professional teams take sports analytics seriously and gather as much data as possible to ensure they have a competitive edge. Some of the most important data that teams analyze before a game include:
Opposing team player statistics, such as common plays or configurations and types of scoring.
Recentwins and losses and how individual player performance contributed to these games.
Game-day weather conditions and players’ experiences in these conditions.
Game statistics, including how many games they must win to make it to the playoffs or surpass previous records.
Analytics & big data can act as valuable drivers in many industries by providing information that drives core business decisions. https://www.promptcloud.com
Use machine learning techniques to predict sporting events. Learn about how sports betting works and how to apply predictive analytics to gain a potential edge.
Data analytics have changed the game and are vital in helping team managers, coaches and players ensure they’re prepared to win. Since preparation is key to winning, professional teams take sports analytics seriously and gather as much data as possible to ensure they have a competitive edge. Some of the most important data that teams analyze before a game include:
Opposing team player statistics, such as common plays or configurations and types of scoring.
Recentwins and losses and how individual player performance contributed to these games.
Game-day weather conditions and players’ experiences in these conditions.
Game statistics, including how many games they must win to make it to the playoffs or surpass previous records.
How Big Data impacts the Gaming Industry. This presentation talks about exponential revenue increase of some of the Big Names such as "Riot (Title: Leagues of Legends), Valve, Socialblade.
Assignment for my sports business models class. I had to research and create an analysis of the NBA featuring its strengths, weaknesses, opportunities, and threats.
My classmate and I created this pitch deck for an advertising campaign class. We were tasked to choose a brand and develop an advertising campaign by researching their current business and the target consumer, developing an insight, and then selecting media channels and creatives based on the research.
Indian Super League social media strategy and communication mixLaxmii Kanwar
A social media strategy for the upcoming Indian Super League. Objective is to raise awareness of the tournament and generate conversations on social platforms via various communication mix.
In this project, we will be analyzing the ways to increase the fan satisfaction by making up a strong offensive team of soccer players without having much impact on the revenue. By looking at the dataset, it is conspicuous that acquiring excellent players and winning games with them have an impact on the fan loyalty and the increase in revenue. For better results, the data sets need to be integrated, fed to the data warehouse for processing to extract information that will help in making a physical model to be presented for further knowledge. To achieve this goal, we have planned to start with making dimension tables and fact tables that will provide some insight on the parameters affecting the fan satisfaction without largely affecting the revenue.
Presentation about Role of Data Analytics & AI in Football
AI & Data Analytics have enabled faster & better decision making in the world of sports such as football. AI-powered algorithms can derive actionable insights that add even greater value to the players & coaching staff. They have unlocked many use cases that will be paramount for everyone involved in this beautiful game.
Online fantasy gaming in India and its growth strategy via digital assets, th...Abhismita Sen
With 10 million and growing subscribers, Fanfight becomes one of the top most fantasy sports apps of India. What sets it apart is its reluctance to invest on any conventional mode of marketing for growth and brand amplification. While rivals like MPL, Dream 11 and Rummy circle have invested aggressively on television advertising, celebrity endorsement, brand tie ups and newspaper advertising for growth, Fanfight has stuck entirely to digital marketing for its revenue growth, user acquisition and proliferation as a brand.
Fanfight is an interesting example of how digital marketing can be a standalone growth hacking strategy for any brand using it well, without the overwhelming usage of any other form of media outlets.
Brighton SEO Apr23 - Showing The Value of Digital PR beyond coverage and link...Isa Lavs
As the digital PR industry evolves, stakeholders are increasingly demanding more measurable KPIs beyond just media coverage and links. The question of "you've secured us links, but what's the value?" is becoming more common. So how can we combat this? It's essential to find ways to demonstrate to clients and stakeholders the real value of a link. In this presentation, Isa explores some effective ways to demonstrate this and, how to communicate results better.
While SEO is a constantly evolving discipline and some SEO elements have become important in 2022, other core elements remain evergreen. In this session, I will highlight SEO strategies that need to be on your radar so your brand can effectively compete in the search results in 2022.
Key Takeaways:
- Are links still important?
- Content Quality vs Content Quantity
- Technical SEO
- Core Web VitalsAnd more...
We had an opportunity to talk with Kitman Labs about ways big data is leveraged for baseball. The following slides are highlights from our Twitter chat with them.
How Big Data impacts the Gaming Industry. This presentation talks about exponential revenue increase of some of the Big Names such as "Riot (Title: Leagues of Legends), Valve, Socialblade.
Assignment for my sports business models class. I had to research and create an analysis of the NBA featuring its strengths, weaknesses, opportunities, and threats.
My classmate and I created this pitch deck for an advertising campaign class. We were tasked to choose a brand and develop an advertising campaign by researching their current business and the target consumer, developing an insight, and then selecting media channels and creatives based on the research.
Indian Super League social media strategy and communication mixLaxmii Kanwar
A social media strategy for the upcoming Indian Super League. Objective is to raise awareness of the tournament and generate conversations on social platforms via various communication mix.
In this project, we will be analyzing the ways to increase the fan satisfaction by making up a strong offensive team of soccer players without having much impact on the revenue. By looking at the dataset, it is conspicuous that acquiring excellent players and winning games with them have an impact on the fan loyalty and the increase in revenue. For better results, the data sets need to be integrated, fed to the data warehouse for processing to extract information that will help in making a physical model to be presented for further knowledge. To achieve this goal, we have planned to start with making dimension tables and fact tables that will provide some insight on the parameters affecting the fan satisfaction without largely affecting the revenue.
Presentation about Role of Data Analytics & AI in Football
AI & Data Analytics have enabled faster & better decision making in the world of sports such as football. AI-powered algorithms can derive actionable insights that add even greater value to the players & coaching staff. They have unlocked many use cases that will be paramount for everyone involved in this beautiful game.
Online fantasy gaming in India and its growth strategy via digital assets, th...Abhismita Sen
With 10 million and growing subscribers, Fanfight becomes one of the top most fantasy sports apps of India. What sets it apart is its reluctance to invest on any conventional mode of marketing for growth and brand amplification. While rivals like MPL, Dream 11 and Rummy circle have invested aggressively on television advertising, celebrity endorsement, brand tie ups and newspaper advertising for growth, Fanfight has stuck entirely to digital marketing for its revenue growth, user acquisition and proliferation as a brand.
Fanfight is an interesting example of how digital marketing can be a standalone growth hacking strategy for any brand using it well, without the overwhelming usage of any other form of media outlets.
Brighton SEO Apr23 - Showing The Value of Digital PR beyond coverage and link...Isa Lavs
As the digital PR industry evolves, stakeholders are increasingly demanding more measurable KPIs beyond just media coverage and links. The question of "you've secured us links, but what's the value?" is becoming more common. So how can we combat this? It's essential to find ways to demonstrate to clients and stakeholders the real value of a link. In this presentation, Isa explores some effective ways to demonstrate this and, how to communicate results better.
While SEO is a constantly evolving discipline and some SEO elements have become important in 2022, other core elements remain evergreen. In this session, I will highlight SEO strategies that need to be on your radar so your brand can effectively compete in the search results in 2022.
Key Takeaways:
- Are links still important?
- Content Quality vs Content Quantity
- Technical SEO
- Core Web VitalsAnd more...
We had an opportunity to talk with Kitman Labs about ways big data is leveraged for baseball. The following slides are highlights from our Twitter chat with them.
Sports and Recreation Alliance Leadership Convention 2014
Presentation by Maneesh Juneja on the trends and role Big Data and new technology might play in the future of sport.
Strata 2014 Talk:Tracking a Soccer Game with Big DataSrinath Perera
Mobile devices, sensors and GPS are driving the demand to handle big data in both batch and real time. This presentation discusses how we used complex event processing (CEP) and MapReduce based technologies to track and process data from a soccer match as part of the annual DEBS event processing challenge. In 2013, the challenge included a data set generated by a real soccer match in which sensors were placed in the soccer ball and players’ shoes. This session will review how we used CEP to implement DESB challenge and achieved throughput in excess of 100,000 events/sec. It also will examine how we extended the solution to conduct batch processing using business activity monitoring (BAM) using the same framework, enabling users to obtain both instant analytics as well as more detailed batch processing based results.
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...Shrikant Mandlik
The 2015 study has 472 pages, 177 tables and figures. Worldwide markets are poised to achieve significant growth as the cloud computing for utility infrastructure and the tablets and smart phone communications systems make training information more cogent and more available, remaking all sporting everywhere.
Information services will leverage automated process to leverage cloud computing: services The value of sports analytics is the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. What to measure? What real time information is the best? Can the players game the analytics systems?
Lets start with the story of Babe Ruth. The “Babe” used to come to every at bat with the desire to win the game. So early in the game, aware that at the end of the game it would fall on him to win the game, the “Babe” would deliberately strike out on pitches that he really could hit. Later in the game, the pitcher would remember the pitches that had gotten the “Babe” out and “Babe Ruth” could hit with ease, winning the game defying the statisticians.
So, Babe Ruth used sports analytics in the 1930’s in reverse, hoping to entice the pitcher to throw that very pitch he could hit in a tight situation later in the game. His very success illustrates that in sports analytics sophistication is needed. For sports analytics to track Babe Ruth, it would have been necessary to look at the pitches he could hit at the end of the game, not just everything that came at him. How sophisticated is that? You have to know your players to do good sports analytics.
Babe Ruth is at the center of one of the sad stories of sporting in Boston. The Boston Red Sox baseball team, in 2003, had not won a world series since Babe Ruth was sold to New York, the so called “Curse of the Bambino.” John Henry, a financial analytics wizard came along and purchased the Boston Red Sox along with other partners and he took the team to three world series using sports analytics as the dominant force for running the team and building fan enthusiasm. Sports become the model for predictive business decision making. Business has been reorganized among teams, inspired by sports. Analytics, developed by businesses are finding innovative use in sports, leading to models for
business to organize and manage teams.
Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal.
Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate
Big Data Analytics & iot is taking the sports world by storm. Find out how advanced analytics can help you improve with BizViz Platform for Sports Analytics
D A T A &A N A L Y T I C SThomas H. DavenportWhat B.docxwhittemorelucilla
D A T A &
A N A L Y T I C S
Thomas H. Davenport
What Businesses
Can Learn From
Sports Analytics
The use of analytics in the sports world has much to teach
managers about alignment, performance improvement and
business ecosystems.
Research Highlight June 3, 2014 Reprint #55410 http://mitsmr.com/1h4FHgs
http://mitsmr.com/1h4FHgs
10 MIT SLOAN MANAGEMENT REVIEW SUMMER 2014 PLEASE NOTE THAT GRAY AREAS REFLECT ARTWORK THAT HAS BEEN INTENTIONALLY REMOVED.
THE SUBSTANTIVE CONTENT OF THE ARTICLE APPEARS AS ORIGINALLY PUBLISHED.
I N T E L L I G E N C E
[ANALYTICS]
What Businesses Can Learn From
Sports Analytics
The use of analytics in the sports world has much to teach managers about alignment,
performance improvement and business ecosystems.
BY THOMAS H. DAVENPORT
Sports analytics are all the rage now. The
Moneyball story about the Oakland A’s use
of analytics has made its way into the collec-
tive consciousness, and the appetite for
more knowledge about the field has steadily
increased year by year. The MIT Sloan
Sports Analytics Conference, for example,
has grown from about 175 attendees in its
first year in 2007 to more than 2,000 in
2014. Called the “Super Bowl of sports
analytics” and “TED talks in cleats,” the
conference has catalyzed academics, profes-
sional and college teams, and the press to
focus much more heavily on analytics to
understand various aspects of sports per-
formance and business. Almost ever y
professional baseball team now has at least
one professional quantitative analyst on
staff, and many basketball, football and soc-
cer teams do, too. Even some high school
teams now employ quantitative analysts.
In general, however, sports teams are
still lagging behind businesses in their use
of analytics. For one thing, even the most
successful pro teams are still relatively
small businesses that can’t feasibly employ
hundreds of analysts like a large bank or
retailer can. Also, many old-line coaches,
managers and executives don’t trust or un-
derstand sophisticated sports analytics.
And, as far as its application on real teams
is concerned, the discipline is still in its
infancy. The Moneyball story about the
SUMMER 2014 MIT SLOAN MANAGEMENT REVIEW 11SLOANREVIEW.MIT.EDU
Oakland A’s took place in 2002, when
sports analytics was quite new. In contrast,
the first analytics group I have found in
businesses dates from 1954 at United Par-
cel Service (UPS).
Despite this, businesses can still learn
much from the use of analytics in the sports
world. I recently interviewed more than
30 representatives of teams, sports analytics
vendors and consultants for a report on
the state of the art in sports analytics.
(See “Further Reading.”) I focused on three
different areas of activity, each of which
is growing rapidly. In order of decreasing
prevalence, they are: team and player
performance analytics, sports business
anal.
The Essential Role of Data Feeds in Modern FootballDataSportsGroup
The beautiful game of football has come a long way from its early days of leather balls and sparse statistics. Today, football is a data-driven sport. Teams utilize advanced analytics and technology to gain every possible advantage, while fans crave up-to-the-second stats and insights into their favorite players and clubs. This increasing data dependence has created a huge demand for football data feeds packed with real-time information.
Scoring with Data: The Role of Football APIs in the Modern GameDataSportsGroup
Explore the transformative influence of data analytics in the world of football. It delves into the essential role played by football data APIs and feeds, highlighting their impact on various aspects of the sport. From enhancing fan engagement to providing valuable insights for teams and coaches, data analytics is reshaping football and even powering fantasy football experiences. Discover how this data-driven revolution is changing the game we love.
Alex Kornilov: Building Big Data Company in Sports-Betting Industry - BETEGY ...AnalyticsConf
The session will cover following points from the experience of BETEGY founders:
- practical application of the Big Data in sports and betting;
- financing of the company (venture money vs. private money vs. strategic investors);
- product plans vs. market expansion;
- marketing techniques to promote Big Data company & product;
- challenges related to the product & industry;
- global vs. local company;
- other related topics.
Gaming: What do consumers desire from FIFA 18?Target Research
I videogiochi sono ormai considerati non più un semplice passatempo per adolescenti annoiati, ma grazie al livello di sofisticatezza tecnica hanno raggiunto un livello di bellezza tale da essere considerati l’ottava arte. Ci sono e ci sono stati videogiochi che grazie alla loro capacità di essere avvincenti e appassionanti non solo sono ricordati nell’immaginario collettivo ma hanno fatto viaggiare con la fantasia milioni di persone nel mondo, proprio come un romanzo avvincente.
MIT Sloan Sports Analytics Conference Leah Raphael
I had the opportunity to attend the 2016 MIT Sloan Sports Conference and wanted to share the notes I took to summarize all the panels I sat in on. The conference is a great opportunity for students to network with the sports industry's top professionals and I highly recommend attending if you are interested in working in sports and want to gain an understanding of how the industry is evolving!
How Hockey Teams Drive Fan Engagement With Marketing AutomationSimplyCast
Hockey teams need more than a winning team to get fans. They need to engage them and interact with them. See how marketing automation makes that possible.
This webinar will provide attendees with a rundown of two different qualitative studies that Navigate Research conducted in partnership with ESPN and The Arizona Diamondbacks. Each presenter will walk through their experiences and discuss the value of qualitative research in today’s sports sponsorship world, and how important it is in order to reach your target market.
We may not agree with their methods, but we have to respect their talent in exposing the flaws in system. Without them internet wouldn’t have improved/expanded.
Did you know that the cool #gadgets which we see in movies like #jamesbond and #Batman are no longer fiction. Take a look at these gadgets which are already in use and you thought they were impossible to exist....
How to save taxes - An Infographic depicting the many means of saving taxes. A sneak peak on the new tax regulations according to the budget for FY 2014-2015.
58% of the world’s population owns a smart phone. Each one of them could be your potential customer. Having a positive mobile strategy will assure your long term run in global market. Introducing a useful application will boost the morale of your customers and help you in connecting personally with each one of them.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
7. Player Predictive Analytics
There are many ways to win the cup. Player predictive analytics will help the player and improve
the game performance with better-insights
Analyzes play-by-play effectiveness on live performance.
Provides various reports from variety of data sources
-New player’s performance tracking report
-Referee and Coach Reports
-Panoramic feeds
-Biometric Data
Anticipates the player’s strength, safety issues and prevent injuries.
Tool helps to identify the right player for game.
Awards ranking through predictive analysis of players performance.
10. Coaching Decision
Predictive decision making is now easy
Coach can collect real-time data of players from wearable sensor technologies.
The data can be analyzed and accessed using mobile devices by managers, trainers and physicians.
Analytics tool provides live feed of players
-Speed
-Heart Rate
-Hydration
-Breathing
-Fatigue
-Pain
Based on the data-insight, management can make the call in terms of resting the player or who to play next
or move the players to disabled list.
Coaches can also help in identifying flaws in player technique and help individuals to overcome it.
11. Coaching Decision
Teams and Individuals who won big using Big Data & Analytics
KKR - IPL 2014 Germany - FIFA Worldcup 2014 Boston Red Sox - 2004 World Series
Champions
Billy Beane - Genral Manager
Oakland Athletics
13. Digital Experience
Game is on and it’s personal
Sporting teams directly engage with their fans through league and team sites.
Teams respond quickly to gauge fan sentiment.
Social media platforms are literally on fire with more creative and engaging player stats.
Most of all, they allow comparison between fantasy drafts which adds to the personal experience.
Teams also keep a track on how, where and by whom their data is consumed.
16. Fan Insights & Engagements
Building audience and loyal fan club is very important in terms of sports sustainability. Finding where
they are and what they want is no more a painful job
Most of the fans are in social media. Hence, huge data is acquired from social media to analyze their sentiments.
Data helps to enhance the fans experience with more personalized content and relevant communication.
Insights will ignite the conversations among the fans without teams being the center of conversation.
Fans explore the digital content and teams explore the fans preferences which in turn create positive engagements.
Sports event promotions are based on huge data mining. So, next time if you see a sports event ad on your
social media then you are more likely to have explored sports content often on the internet.
17. Fan Insights & Engagements
Fans engaging on social media sites
19. Operational Analytics
Front office on and off the field for perfect game plan
Insights help to predict which promotions will successfully draw new fans towards franchise.
Increases the accuracy of front office plans and optimizes the revenue during the game.
Pricing model will be imposed uniquely based on different market segments.
Sport needs sponsors and to give them best ROI, analytics tools have measuring techniques on each player and
team.
Analytics feed separates the loyal fans and new fans in order to provide discounts on ticket sales.
21. Moneyball is an American 2011 biographical sports drama film directed by
Bennett Miller from a screenplay by Steven Zaillian and Aaron Sorkin.
The film is based on Michael Lewis's 2003 nonfiction book of the same
name, an account of the Oakland Athletics baseball team's 2002 season
and their general manager Billy Beane's attempts to assemble a
competitive team.
source - http://en.wikipedia.org
True story on how analytics helped baseball
team to improve their performances
on field