Most athletes now use mobile apps to log their performance data, making analytics simpler. Big data has taken tracking further, with tools like IBM's SlamTracker monitoring real-time tennis stats. Sports analytics has become highly personalized down to individual players, with stats tracking narrow trajectories, yearly comparisons, and categories in sports like football.
Driving Digital Soccer Experiences with Structured Data FeedsDataSportsGroup
Soccer (or football as known in most countries) is the world's most popular sport. As a professional sports writer, I've seen first-hand how digital technology has elevated soccer engagement for fans, media, teams, and leagues. Real-time data feeds in structured formats like XML have enabled richer experiences across apps, websites, broadcasts, and IoT devices.
The world of sports has been transformed by the digital revolution. Real-time data and statistics are now an integral part of how fans, teams, leagues, and media outlets experience and analyze sports. As a professional sports writer with over 10 years of experience, I've witnessed firsthand how sports data has evolved and enabled new possibilities for enhancing the sports experience.
Driving Digital Soccer Experiences with Structured Data FeedsDataSportsGroup
Soccer (or football as known in most countries) is the world's most popular sport. As a professional sports writer, I've seen first-hand how digital technology has elevated soccer engagement for fans, media, teams, and leagues. Real-time data feeds in structured formats like XML have enabled richer experiences across apps, websites, broadcasts, and IoT devices.
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.
The development and usage of ICT technologies is increasing every day. Nowadays, ICT technologies are being used in
almost every industry and lately, especially rapidly in sports. Information related to sport events and sport participants
are recorded in a database, which thus enables computer analysis. This paper presents information system Basketball
Coach Assistant. The paper presents current version of information system and describes the possibilities of the
information system, starting with the architecture up to the individual parts of the information system. The paper also
explains a display of a custom menu and user-defined player efficiency index.
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
Driving Digital Soccer Experiences with Structured Data FeedsDataSportsGroup
Soccer (or football as known in most countries) is the world's most popular sport. As a professional sports writer, I've seen first-hand how digital technology has elevated soccer engagement for fans, media, teams, and leagues. Real-time data feeds in structured formats like XML have enabled richer experiences across apps, websites, broadcasts, and IoT devices.
The world of sports has been transformed by the digital revolution. Real-time data and statistics are now an integral part of how fans, teams, leagues, and media outlets experience and analyze sports. As a professional sports writer with over 10 years of experience, I've witnessed firsthand how sports data has evolved and enabled new possibilities for enhancing the sports experience.
Driving Digital Soccer Experiences with Structured Data FeedsDataSportsGroup
Soccer (or football as known in most countries) is the world's most popular sport. As a professional sports writer, I've seen first-hand how digital technology has elevated soccer engagement for fans, media, teams, and leagues. Real-time data feeds in structured formats like XML have enabled richer experiences across apps, websites, broadcasts, and IoT devices.
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.
The development and usage of ICT technologies is increasing every day. Nowadays, ICT technologies are being used in
almost every industry and lately, especially rapidly in sports. Information related to sport events and sport participants
are recorded in a database, which thus enables computer analysis. This paper presents information system Basketball
Coach Assistant. The paper presents current version of information system and describes the possibilities of the
information system, starting with the architecture up to the individual parts of the information system. The paper also
explains a display of a custom menu and user-defined player efficiency index.
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 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.
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
ONLINE MOMBASA COUNTY FOOTBALL MANAGEMENT INFORMATION SYSTEM “A CASE STUDY ...Mwakio Joseph M
ABSTRACT
The study analyses that how information systems facilitate football clubs. To fulfil these purposes this study adopts a design strategy which contains theoretical and empirical parts. It gives a way how to operate and improve works to solve and avoid problems in various sectors in order to facilitate football clubs. This study chooses a suitable information system development methodology and designs a general football club information system model. In the empirical study a questionnaire survey is made to check and complete a general football club information system model. This study proves that information systems can facilitate football clubs in business processes and operations, internal communication and decision-making; furthermore, it supports football club business strategies and helps establish a powerful human resource management project.
The designing of the system depends on the methodology that will be used to develop the system according to its specific functions. The methodologies will be user friendly for easy interpretation. Some of the requirements included may not have been described by the developers. The system analysis and design of the whole system should be developed from the data tables and system requirement and specifications. The DFD and E-R diagrams will explain in detail how the system works.
The Future of Sports Technology Mobile App Development on the Rise .pdfSeasia Infotech
Explore the growing trend of mobile app development in the sports industry and its impact on sports technology. Discover how mobile apps are transforming the way we experience sports, enhancing fan engagement, and providing new revenue streams. Learn about the latest mobile app trends, challenges. Join us as we dive into the exciting future of sports technology in app development.
End-to-End Digital Transformation Consulting Services. We help businesses build technology, Shape Ideas, Scale Faster. We are engineer who create scalable, high performance digital solution to solve business challenges for
startups, entrepreneurs and enterprise.
Our vision is to create value for our clients, people, shareholders and partners. Our core value of shared success will guide us to become a leading service provider in the information technology space.
Technology and open knowledge in sports statisticsdwiederman
This presentation discussion concepts of technological change and open knowledge and how these things have contributed to the explosion of type and availability of sports data available to the public. This includes advanced and sabermeteric stats, API's, and applied open knowledge concepts in the modern day sports media world.
How To Improve IoT Applications with Data Analytics Rock Interview
The IoT industry is at its peak right now and the true business value of the IoT lies in the analytics rather than the hardware novelties. It is known by now that data analytics and IoT are the future. Here are some ways to improve IoT devices with data analytics.
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.
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.
Chapter 1 Information Systems in Global Business TodayNBA TEAMS .docxtidwellveronique
Chapter 1 Information Systems in Global Business Today
NBA TEAMS MAKE A SLAM DUNK WITH INFORMATION TECHNOLOGY
Basketball is a very fast-paced, high-energy sport but it’s also big business. Professional teams that belong to the National Basketball Association (NBA) pay each of their players an average of $5 million per year. For that amount of money, member teams expect a great deal and are constantly on the watch for ways of improving their performance. During an 82-game season, every nuance a coach can pick up about a weakness in an opponent’s offense or in the jump shot of one of his own players will translate into more points on the scoreboard, more wins, and ultimately more money for the team.
Traditional basketball game statistics failed to capture all of the details associated with every play and were not easily related to videotapes of games. As a result, decisions about changes in tactics or how to take advantage of opponents’ weaknesses were based primarily on hunches and gut instincts. Coaches could not easily answer questions such as “Which types of plays are hurting us?” Now professional basketball coaches and managers are taking their cues from other businesses and learning how to make decisions based on hard data.
A company called Synergy Sports Technology has found a way to collect and organize fine-grained statistical data and relate the data to associated video clips. Synergy employs more than 30 people to match up video of each play with statistical information on which players have the ball, what type of play is involved, and the result.
Each game is dissected and tagged, play by play, using hundreds of descriptive categories, and these data are linked to high-resolution video.
Coaches then use an index to locate the exact video clip in which they are interested and access the video at a protected Web site. Within seconds they are able to watch streaming video on the protected site or they can download it to laptops and even to iPods. One NBA team puchased iPods for every player so they could review videos to help them prepare for their next game.
For example, if the Dallas Mavericks have just lost to the Phoenix Suns and gave up too many fast-break points, the Mavericks coach can use Synergy’s service to see video clips of every Phoenix fast break in the game. He can also view every Dallas transitional situation for the entire season to see how that night’s game compared with others. According to Dallas Mavericks owner Mark Cuban, “the system allows us to look at every play, in every way, and tie it back to stats. So we can watch how we played every pick and roll, track our success rate, and see how other teams are doing it.”
The service helps coaches analyze the strengths and weaknesses of individual players. For example, Synergy’s system has recorded every offensive step of the Mavericks’ Dirk Nowitzki since he joined the NBA in 1998. The system can show how successfully he is driving right or left in either home or awa ...
Smart Engine analytics allows you to analyze large volumes of data over extended periods of time, utilizing algorithms to determine precise data from Web traffic and feeding this data to the reporting components. With its industry-leading algorithms, the key benefit of Wavecrest’s Smart Engine is providing the manager-ready, actionable reporting that nontechnical personnel in the company needs.
DEVELOPMENT AND IMPLEMENTATION OF MOBILE GEAR FOR SKIER TRAINING SYSTEMijseajournal
The purpose of this study is to develop a Skier Training System for monitoring skiing courses and analyzing
skier posture using smartphones. The system is composed of three elements: first, operating servers that
receive information on the skier’s exercise; second, Skier Training Apps developed using Java and C based
on Android SDK 4.2 or above; and third, Data Gathering Gear embedded with gyroscope sensors and GPS
for measuring skier stance. When a skier wearing our Data Gathering Gear runs down a slope, his or her
stance is uploaded to the operating servers. Then the servers calculate the recorded data, such as velocity
and turn trajectory, in order to suggest body angles that are optimized for the skier; subsequently, the skier
can improve his or her skills by checking his or her records, and then attempt to correct his or stances
based on the suggestions offered by the Skier Training Apps.
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.
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
ONLINE MOMBASA COUNTY FOOTBALL MANAGEMENT INFORMATION SYSTEM “A CASE STUDY ...Mwakio Joseph M
ABSTRACT
The study analyses that how information systems facilitate football clubs. To fulfil these purposes this study adopts a design strategy which contains theoretical and empirical parts. It gives a way how to operate and improve works to solve and avoid problems in various sectors in order to facilitate football clubs. This study chooses a suitable information system development methodology and designs a general football club information system model. In the empirical study a questionnaire survey is made to check and complete a general football club information system model. This study proves that information systems can facilitate football clubs in business processes and operations, internal communication and decision-making; furthermore, it supports football club business strategies and helps establish a powerful human resource management project.
The designing of the system depends on the methodology that will be used to develop the system according to its specific functions. The methodologies will be user friendly for easy interpretation. Some of the requirements included may not have been described by the developers. The system analysis and design of the whole system should be developed from the data tables and system requirement and specifications. The DFD and E-R diagrams will explain in detail how the system works.
The Future of Sports Technology Mobile App Development on the Rise .pdfSeasia Infotech
Explore the growing trend of mobile app development in the sports industry and its impact on sports technology. Discover how mobile apps are transforming the way we experience sports, enhancing fan engagement, and providing new revenue streams. Learn about the latest mobile app trends, challenges. Join us as we dive into the exciting future of sports technology in app development.
End-to-End Digital Transformation Consulting Services. We help businesses build technology, Shape Ideas, Scale Faster. We are engineer who create scalable, high performance digital solution to solve business challenges for
startups, entrepreneurs and enterprise.
Our vision is to create value for our clients, people, shareholders and partners. Our core value of shared success will guide us to become a leading service provider in the information technology space.
Technology and open knowledge in sports statisticsdwiederman
This presentation discussion concepts of technological change and open knowledge and how these things have contributed to the explosion of type and availability of sports data available to the public. This includes advanced and sabermeteric stats, API's, and applied open knowledge concepts in the modern day sports media world.
How To Improve IoT Applications with Data Analytics Rock Interview
The IoT industry is at its peak right now and the true business value of the IoT lies in the analytics rather than the hardware novelties. It is known by now that data analytics and IoT are the future. Here are some ways to improve IoT devices with data analytics.
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.
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.
Chapter 1 Information Systems in Global Business TodayNBA TEAMS .docxtidwellveronique
Chapter 1 Information Systems in Global Business Today
NBA TEAMS MAKE A SLAM DUNK WITH INFORMATION TECHNOLOGY
Basketball is a very fast-paced, high-energy sport but it’s also big business. Professional teams that belong to the National Basketball Association (NBA) pay each of their players an average of $5 million per year. For that amount of money, member teams expect a great deal and are constantly on the watch for ways of improving their performance. During an 82-game season, every nuance a coach can pick up about a weakness in an opponent’s offense or in the jump shot of one of his own players will translate into more points on the scoreboard, more wins, and ultimately more money for the team.
Traditional basketball game statistics failed to capture all of the details associated with every play and were not easily related to videotapes of games. As a result, decisions about changes in tactics or how to take advantage of opponents’ weaknesses were based primarily on hunches and gut instincts. Coaches could not easily answer questions such as “Which types of plays are hurting us?” Now professional basketball coaches and managers are taking their cues from other businesses and learning how to make decisions based on hard data.
A company called Synergy Sports Technology has found a way to collect and organize fine-grained statistical data and relate the data to associated video clips. Synergy employs more than 30 people to match up video of each play with statistical information on which players have the ball, what type of play is involved, and the result.
Each game is dissected and tagged, play by play, using hundreds of descriptive categories, and these data are linked to high-resolution video.
Coaches then use an index to locate the exact video clip in which they are interested and access the video at a protected Web site. Within seconds they are able to watch streaming video on the protected site or they can download it to laptops and even to iPods. One NBA team puchased iPods for every player so they could review videos to help them prepare for their next game.
For example, if the Dallas Mavericks have just lost to the Phoenix Suns and gave up too many fast-break points, the Mavericks coach can use Synergy’s service to see video clips of every Phoenix fast break in the game. He can also view every Dallas transitional situation for the entire season to see how that night’s game compared with others. According to Dallas Mavericks owner Mark Cuban, “the system allows us to look at every play, in every way, and tie it back to stats. So we can watch how we played every pick and roll, track our success rate, and see how other teams are doing it.”
The service helps coaches analyze the strengths and weaknesses of individual players. For example, Synergy’s system has recorded every offensive step of the Mavericks’ Dirk Nowitzki since he joined the NBA in 1998. The system can show how successfully he is driving right or left in either home or awa ...
Smart Engine analytics allows you to analyze large volumes of data over extended periods of time, utilizing algorithms to determine precise data from Web traffic and feeding this data to the reporting components. With its industry-leading algorithms, the key benefit of Wavecrest’s Smart Engine is providing the manager-ready, actionable reporting that nontechnical personnel in the company needs.
DEVELOPMENT AND IMPLEMENTATION OF MOBILE GEAR FOR SKIER TRAINING SYSTEMijseajournal
The purpose of this study is to develop a Skier Training System for monitoring skiing courses and analyzing
skier posture using smartphones. The system is composed of three elements: first, operating servers that
receive information on the skier’s exercise; second, Skier Training Apps developed using Java and C based
on Android SDK 4.2 or above; and third, Data Gathering Gear embedded with gyroscope sensors and GPS
for measuring skier stance. When a skier wearing our Data Gathering Gear runs down a slope, his or her
stance is uploaded to the operating servers. Then the servers calculate the recorded data, such as velocity
and turn trajectory, in order to suggest body angles that are optimized for the skier; subsequently, the skier
can improve his or her skills by checking his or her records, and then attempt to correct his or stances
based on the suggestions offered by the Skier Training Apps.
Similar to Big data's impact on sports performance (20)
Why The Solution to Information Overload is More Gadgets, Not LessVish Nandlall
We live in a world of information overload. How many times have you been paralyzed by choice when online shopping for a hundred iterations of almost identical items from different sellers? Or complained that people these days have their noses in their smartphones instead of paying attention to the world around them?
Smart Farms, Smart Food: How Precision Agriculture and the IoT is Changing th...Vish Nandlall
The Internet of Things is changing the landscape of, well, everything. Expert Vish Nandlall explains one of the most important revolutions coming our way: food
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
2. Democratized analytics
Most athletes utilize some type of mobile app or similar technology to enhance or monitor
their performance. For example, there are a variety of apps that track and sort data for distance
runners and cyclists focused on logging training runs and rides. Many of these apps have
democratized the concept of data analytics, implementing easily accessible entry interfaces,
deep storage capabilities, and even sharing opportunities rooted in social media (Strava, for
example) to connect athletes with one another based on exchanged data.
These apps have made data analytics much simpler for athletes concerned with keeping
performance data for future reference.
3. Monitoring
performance
Big data’s tracking of performance stats,
however, goes far beyond that offered by simple
logging technologies. Take IBM’s SlamTracker
tool, which has been used during tennis
tournaments to track “real-time scores, statistics,
and point-by-point analysis of a match.”
Other prominent examples of data monitoring
can be found in basketball, American football,
soccer, and baseball. Statistical information
pertaining to a single NFL player, for instance,
has become incredibly narrow in its trajectories,
year-by-year comparisons, and most importantly
its vast array of statistical categories.
4. Transcending personalization
Big data’s tracking of performance stats, however, goes far beyond that offered by simple logging
technologies. Take IBM’s SlamTracker tool, which has been used during tennis tournaments to track “real-
time scores, statistics, and point-by-point analysis of a match.”
Other prominent examples of data monitoring can be found in basketball, American football, soccer, and
baseball. Statistical information pertaining to a single NFL player, for instance, has become incredibly
narrow in its trajectories, year-by-year comparisons, and most importantly its vast array of statistical
categories.