1) Sports teams use analytics and data visualization across various areas like scouting, player fitness, development, game strategy, evaluation, ticketing, and merchandising to gain competitive advantages and maximize revenue.
2) Data is collected on players' performance, health, training, as well as fan behavior and sales to optimize decisions around roster selection, in-game tactics, staffing, and marketing.
3) Visualizing data in dashboards allows coaches and management to quickly analyze trends and scenarios to improve outcomes on and off the field.
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.
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.
Analytics & big data can act as valuable drivers in many industries by providing information that drives core business decisions. https://www.promptcloud.com
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.
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.
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.
Analytics & big data can act as valuable drivers in many industries by providing information that drives core business decisions. https://www.promptcloud.com
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.
Using Data Science to grow games / Robert Magyar (SuperScale)DevGAMM Conference
- How did we double the profits of a game played by 160 million players with Machine Learning?
- What are the challenges of everyday use of ML in mobile games?
- We'll show you examples of how we've doubled the profits of the Hill Climb Racing 2 mobile game with cloud ML solutions.
- We will also show how we predict the long-term success of mobile gaming marketing campaigns in our portfolio
- We will take a closer look at prediction methods, ML cloud pipeline and other Data Science points of interest
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.
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.
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.
A description of what a Premier League Academy is. Man Utd helps us to understand the main points of an academy, their philosophy. And what we should expect from a club to come up.
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.
Using Data Science to grow games / Robert Magyar (SuperScale)DevGAMM Conference
- How did we double the profits of a game played by 160 million players with Machine Learning?
- What are the challenges of everyday use of ML in mobile games?
- We'll show you examples of how we've doubled the profits of the Hill Climb Racing 2 mobile game with cloud ML solutions.
- We will also show how we predict the long-term success of mobile gaming marketing campaigns in our portfolio
- We will take a closer look at prediction methods, ML cloud pipeline and other Data Science points of interest
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.
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.
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.
A description of what a Premier League Academy is. Man Utd helps us to understand the main points of an academy, their philosophy. And what we should expect from a club to come up.
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.
To those who may not be aware, fantasy football is a game played predominantly by football fans that have a passion for the game. Each of the player draft his/her own team and compete against teams built by others.
Discovering The Best Free Football Scouting Software360 Scouting
Professional football clubs frequently lean on paid scouting software, but these tools can be financially out of reach for smaller clubs and scouts (or fantasy football enthusiasts). Fortunately, there are outstanding free alternatives. In this presentation, we share six of the best options for free football scouting software.
Clustering of Players in Major League Baseball Srinivas Osuri
Clustered players within their zone of expertise(Batting, Pitcher) into different segments based on the player's aggregate performance, age, and salary. The players within the same cluster as the injured player are most similar to the injured player
Identified the top three "target" players using similarity matrices and discriminant analysis for every set of requirements( constraints) of the team management. Example: The application will return the top three players within the age of 25 to 30 with an ERA of 3 and an annual salary of $700K
The Evolution and Power of Football Data Feeds.pdfDataSportsGroup
Discover how innovations in football data collection and delivery have transformed the way we experience the game. Explore the journey from basic stats to live play-level data feeds, and learn how developers and analysts are leveraging this wealth of information through APIs. Uncover the myriad applications, from predictive injury models to augmented reality experiences, that have become possible with access to real-time, granular football data. Dive into the future, where data quality, speed, and new technologies promise even richer insights for fans, teams, and analysts. Whether you're a stats enthusiast, bettor, fantasy player, or developer, this blog unveils the immense potential of modern football data.
Data Visualization and Clustering of Players in Major League BaseballKaushik Nuvvula
Use Case 1: To identify prospects to replace a player with a similar player
Clustered players within their zone of expertise(Batting, Pitcher) into different segments based on the player's aggregate performance, age, and salary. The players within the same cluster as the injured player are most similar to the injured player
Use Case 2: To buy new players
Identified the top three "target" players using similarity matrices and discriminant analysis for every set of requirements( constraints) of the team management. Example: The application will return the top three players within the age of 25 to 30 with an ERA of 3 and an annual salary of $700K
Tools used: R, Tableau, and SQL
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
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.
1. IE Application | Express Yourself: Show us an activity you enjoy doing. Te...Leslie Onwu
1. Intoduction
2. About FPL
3. More on FPL
4. How to play the game
5. Why I enjoy FPL
6. About FPL show
7. How FPL has contributed to my personal and professional development??
8. Due diligence & Adequate research
9. Budgeting
10. Patience and Strategic thinking
11. People skills
12. You develop a winning mentality
13. Fun, fun and banter
14. Thank you.
Enabling Governed Data Access with Tableau Data Server Tableau Software
Data Server is one of the most powerful tools within Tableau Server to promote security, governance, data exploration, and collaboration—all while hiding the complexity of your data architecture from business users. It allows you to centrally manage live connections or extracted data sets as well as database drivers. At the same time, Data Server enables business users to have trust and confidence that they are using the right data so they can explore it the way they want and discover new insights that drive business value. Learn how Data Server helps IT become a stronger business enabler with governed data access.
Business intelligence norms are evolving across the retail industry, and leading retailers are prioritizing analytics initiatives as a result. While the trend toward retail analytics isn’t new, maturing technologies and techniques are. Here are the trends that will shape retail analytics in 2017.
In 2016, cloud technologies went mainstream. But with maturity came the realization that moving to the cloud doesn’t happen overnight. CIOs are prioritizing hosted computing and cloud data storage. But they’re approaching the shift as a gradual, multi-year journey.
Many startups and small businesses will continue to go all-in on cloud. But enterprises will find success in a slow but steady move from on-prem. Hybrid ecosystems—of data, software, and infrastructure—will be the reality for most established organizations.
As this shift to cloud progresses where are things are headed? This paper highlights the top cloud trends for 2017.
Traditional BI promises security and scale, but at what cost? Often, working with data, finding answers and sharing them can be laborious and time intensive. The rapid growth and maturation of cloud technologies offers an easier path.
With Tableau and AWS you can move your BI to the cloud and deliver the security and scale of your traditional BI, but with accessibility, flexibility, and speed. Take a closer look at the benefits of cloud BI, and how you can get started today.
Bigger, faster, and cloudier: that’s where big data is headed in 2016. More people are doing more things faster with their data, but the details of how continue to evolve. Get up to speed on the latest trends in big data.
Cloud computing is becoming the norm. People are no longer asking why they should go to the cloud. Instead, we hear customers asking insight on what’s working and what they should be thinking about.
An Analytics Culture Drives Performance in Asia Pacific Organizations Tableau Software
In the last few years, many researchers and analysts have predicted power shifts in business intelligence and analytics world. Today, self-service analytical tools are enabling information workers everywhere identify new insights and drive business performance.
In this presentation, see what IDC Research expert and Amaysim BI Manager have to say about:
1. Why meeting the analytical needs of business users matter to organizational performance
2. What’s driving leaders in APAC enterprises towards a self-service paradigm?
3. How to encourage adoption of analytical tools in your organization
4. How leading APAC enterprises such as Amaysim are adopting self-service analytics and the benefits they’ve experienced.
Want to learn more? Check out the full webinar at http://www.tableau.com/learn/webinars/how-analytic-culture-drives-performance-asia-pacific-organizations
How a Data-Driven Culture Improves Organizational Performance Tableau Software
In the last few years, many researchers and analysts have predicted power shifts in business intelligence and analytics world. Today, self-service analytical tools are enabling information workers everywhere identify new insights and drive business performance.
In this slideshare, learn from IDC research and Amaysim BI Manager about:
Why meeting the analytical needs of business users matter to organizational performance
What’s driving leaders in APAC enterprises towards a self-service paradigm?
How to encourage adoption of analytical tools in your organization
How leading Asia Pacific enterprises such as Amaysim are adopting self-service analytics and the benefits they’ve experienced.
This slideshare came from a full webinar delivered by Tableau. You can the full length webinar at http://www.tableau.com/learn/webinars/how-analytic-culture-drives-performance-asia-pacific-organizations
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
4. FPO
SCOUTING
Any successful pro sports franchise knows that the competition
starts with scouting. It’s critical for scouts to be able to quickly
spot potential value in a sea of prospective players.
Cut performance review times by transforming large volumes of
data into interactive visualizations.
5. Evaluate NFL Prospects with Key Metrics
Player comparisons are instantly visible in this
dashboard, which showcases top college
football prospects at the NFL Combine. Scouts
can compare current and past recruits’ power
and speed.
Coaches can:
• Sort by position and year to see additional
stats
• Explore the rankings of all attendees on a
chosen metric
• Make decisions 10-100 times faster than
with old-school business intelligence.
6. FPOPLAYER FITNESS
Need to know who to bench and who play? How valuable is each
player at any given time? Who performs better under stress, or in
the 18th minute of the game?
Tracking player status, training, improvements, and game-day
performance is all possible with data.
7. Seattle Sounders Improve Player Fitness
with Wearable Technology
With wearable technology, the Seattle
Sounders track players’ every move. From
sleep patterns to GPS positioning on the field,
data is used to minimize injury and optimize
performance in the grueling 90-plus-minute
matches. With this data, coaches can:
• Personalize practice schedules, down to the
drill, to target each player’s stamina and
speed
• Identify which activities exhaust players to
help keep teams fresh for the entire period
of play
• Understand habitual behaviors, which can
then be used to predict reaction time
8. FPO
PLAYER DEVELOPMENT
On-field wins often translates into a team’s financial success, so developing talent
and adding new players adds obvious value to a club. Teams gather huge
amounts of data on players to track multiple metrics such as training intensity,
game performance, recovery time, and injuries.
Whole-team intelligence is important too. How are players working together? Are
there patterns of play? Do various actions on the field make a difference in the
final score?
Visualizing this data allows tech-averse coaches to interpret immediate needs at a
glance.
9. Liverpool Analyzes Data on In-Game
Actions
The Liverpool Football Club leverages data to
improve game performance. This dashboard
visualizes a critical metric: the difference
between winning and losing. Hovering over the
scatterplot, coaches see how different in-game
actions affected game outcomes.
10. FPO
GAME-DAY STRATEGY
Data visualizations don’t just capture what happened in last week’s game;
they can provide insight while the ball is still in play.
Dashboards help coaches predict outcomes with what-if scenarios by
combining live data with historical data.
Should a team go for a touchdown on the fourth down? What usually
happens in each scenario? Dashboards with historical data can give
coaches a way to make game-winning decisions in light of past outcomes.
11. 4th Down Decision Making
This dashboard makes use of historical data
for tough calls.
Coaches can:
• Change the parameter to specify quarter,
yards to go, or position on the field.
• Drill down by choosing the team to control
and situation to evaluate.
12. FPO
PLAYER EVALUATION
Visual dashboards are a powerful tool for accurate individual player
evaluation. How is a player performing relative to last year? Last
week?
Last game? Are trends emerging in an athlete’s play that need be
addressed?
This data-driven evaluation clues coaches into who’s likely to play
well and who may be heading for a slump. Coaches can adjust game-
day lineups accordingly.
13. New York Mets Evaluate Player
Performance
This dashboard is an individual performance
evaluation for the New York Mets’ first
baseman, Ike Davis. Hovering on the data
points shows Davis’s relative success in 2010
vs. 2011.
14. FPO
TICKETING
Professional sports teams depend on ticket sales for their financial
health. It’s not always about people in seats; decision-makers need a
360-degree view of fan behavior, from the initial ticket purchase all the
way through the final point on the board.
15. The Texas Rangers Make Real-Time
Staffing Decisions
Nothing spoils a day at the ballpark like rain—
for fans and for the team. Rain sops revenue.
Because the Texas Rangers front office
monitors ticket data in real-time, they can see
down to the minute when rain delays stall ticket
sales. With this need-to-know info, staffing
managers can decided to close 75% of their
windows to cut costs: a bright spot for the team
on a loser weather day.
16. FPO
MERCHANDISNG
The home-team hat and jersey, beer, and bobble heads—what are people buying
once they're inside?
With merchandising and retail data visualizations, retailers can adjust inventory on the
fly when specific item revenue starts to dip.
Merchandise sales also reveal where a team’s fans live. Data can help identify new
areas of the country, or the world, to concentrate sales efforts.
17. Cowboys Find Far-Away Fans
Who knew New York was Cowboy country?
This dashboard shows where Cowboys are
selling merchandise in the U.S. By knowing fan
geography, Cowboys retailers can push
advertising and marketing dollars in those
areas.
18. Tableau offers a revolutionary new approach to business intelligence for sports analytics that will
allow you to quickly connect to, visualize, and share data dashboards with a seamless experience
from the PC to the iPad.
Tableau solutions generate fast, visual, easy-to-use self-service visualizations with no
programming skills required. See how Tableau can help your sports organization by downloading
the free trial at www.tableau.com/trial.
About Tableau