Applied data analysis for sound sport-business decisions
In recent years advances in computing and communication technologies have led to a data explosion. As Marr (2016:2) pointed out “We have created more data in the past two years than in the entire previous history of mankind”. This “big data” revolution has important implications for organizations – and for entrepreneurs. It allows them to be more efficient, to save costs, to implement novel business models, to create new markets and to understand customers better. Organizations were data-driven decision management are intrinsic have indeed been found to be more productive and more profitable.
Applied data analysis is the term that is used to refer to the use of quantitative methods and technology to gather, store and analyze multi-structured data in order to make sound business decisions.
Increasingly, applied data analysis is important for sports management.
“All Premier League clubs have data analysts, as do many in the lower divisions, with stats crunched on everything from the distance covered by a player in a game to the number of crosses played with either foot.” - Extract form BBC article Manchester’s City’s data driven vision for players and fans by Bill Wilson.
This quote describes the omnipresence of data analytics at major football teams in the UK. They do this to enhance the performance of an individual player to the best current composition of the current team. Using data analytics in sports is not limited to the UK, for instance football teams such as New York City FC (USA), Melbourne City FC (Australia) and the Yokahoma Marinos (Japan) use data analytics for as well enhancing the sport performance of the team as increasing the fan base and hence the business performance of the team.
Applied Data analytics is also not limited to football, but also omnipresent in other sports such as F1, baseball, athletics, cycling, and even useful for improving personal fitness.
The Digital Economy
26-30 Aug 2017
The program is designed for:
- Managers and entrepreneurs in the sports industry.
- Business analysts and consultants wishing to understand more about data analytics.
- Decision-makers in sport promotion bodies and sport departments.
- ICT service providers and app developers who wish to support decision making in the sports industry.
Wynand E.J. Bodewes, PhD
Wynand Bodewes (1966) is an Associate Professor of Entrepreneurship at Maastricht School of Management where he teaches several Entrepreneurship courses in the Master in Management, MSc in Management and Engineering, MBA and Executive MBA programs, both in Maastricht and abroad. He is also the Academic Coordinator of MSM’s growing portfolio of Executive Education programs. He holds an MSc in Business Administration from the School of Management and Organization at the University of Groningen (1993) and a PhD in General Management from the Rotterdam School of Management at Erasmus University (2000). Although initially destined to become a Chemical Engineer Wynand later switched to Business Administration. Before pursuing his PhD in General Management at the Rotterdam School of Management (RSM), Erasmus University, he was briefly affiliated with Maastricht University to work on his master thesis.
Dr. Bodewes co-authored several papers and books, and he regularly acts as an ad-hoc reviewer for the Academy of Management Journal, Organization Science, Long Range Planning and other scholarly journals. He was one of the founding fathers and the initial academic director of the degree program that later evolved into the current Entrepreneurship MSc program at RSM. In 2009 Wynand returned to Maastricht University to help build and deliver an outstanding portfolio of entrepreneurship courses to students in many of the university’s degree programs. During his tenure with Maastricht University Wynand also taught at the KU Leuven as a Visiting professor of Entrepreneurship. At the KU Leuven he was instrumental to the introduction of a MSc track in (Technology) Entrepreneurship.
In November 2016 Wynand joined Maastricht School of Management to help expand its portfolio of Entrepreneurship courses and programs. At MSM Wynand hopes to create new teaching cases, expand MSM’s European engagement in short Executive programs, and he looks forward to co-create new and relevant scholarly insights with DBA and PhD candidates at MSM. Wynand is keen on collaborating with ambitious entrepreneurs. For him, smallness is only but a temporary characteristic of true entrepreneurship. Wynand is married, a proud father of two, and a true gadgets afficianado.
- Scalability and Growth
- Business modeling
- Opportunity discovery and development
The full tuition fee
The tuition fee of this course is € 2,499.
Tuition fee includes all course materials and study materials. Tuition fee does not include housing, food and living expenses. Participants are required to arrange their own housing facilities. MSM can assist in finding hotel accommodation.
15% for 2 participants coming from the same organization within 1 academic year
25% for 3 particpants coming from the same organizatin within 1 academic year
40% for 4 - 6 participants coming from the same organization within 1 academic year
For > 6 participants we will offer a tailor made program
European Star Scholarship:
50% for European citizens and long term residents. Submit a 2 - 3 page essay on the topic: "What will be the positive change for my organization and me after participating in this course?"
Alumni Lifelong Learning:
15% discount for Maastricht School of Management registered Alumni
Dean's Development Fund:
Select your country below to see the actual price of the program (full tuition fee-/-DDF scholarship)
The tuition fee of this course is (select country).
The application fee is € 20.
MSM reserves the right to postpone or cancel the program in case the number of participants does not meet the MSM requirements for minimum number of participants. Any payment made to MSM for tuition fee will be refunded. In the case of postponement or cancellation of the program MSM will inform the enrolled candidates at least six weeks before the planned start of the program.
By the participant:
If an admitted participant decides against participation, she/he or, if applicable, the sponsor is liable for the following cancellation costs:
• 25% of the tuition fee if cancellation is between eight to seven weeks before the start of the program.
• 50% of the tuition fee if cancellation is between six to four weeks before the start of the program.
• 75% of the tuition fee if cancellation is within four weeks of the start of the program.
• In case cancellation is done after the program has started no money will be refunded.
• No cancellation charges are incurred if the enrolled candidate or the client, with written consent of MSM, will be replaced by another candidate before the start of the course. Refunded tuition fees will only be reimbursed to the sponsoring party and cannot be forwarded or redeemed by any other party.
Candidates who were not granted a visa to enter The Netherlands, can be fully reimbursed if written official documentation is provided of such visa denial.
29 July 2017
Applicants should have the ability to function academically and professionally at Bachelor level and should have an adequate level of spoken and written English.
Reasons to follow the Big Data Analytics for Sport course
- To get to know what data analytics is and recognise different types of data.
- To know how data analytics can improve sport performance of individual sportpersons, teams and clubs.
- To learn abour collecting and exploring data to gain first insights.
- To get to know the key concepts in data management.
- To appreciate presenting and visualizing data to make a case .