If you are looking for some content specifically focused on how SBRnet is used in the classroom, check out these classroom presentations that are focused on using data for a variety of applications and case studies like sponsorship, team valuations, sports participation and related categories. If you want to set up a classroom session reach out to Mark or Neil at info@sbrnet.com
Neil Schwartz presented to Financing Sport Operations class at Wilmington University. This asynchrononous course discusses the financial concepts and theories and their application in the professional, intercollegiate, and commercial sport industries. Through project-based and experiential opportunities, students will develop different finance, sponsorship, and fundraising options for generating revenue in the sport industry. The project for this class is Finance based. You and your team will be responsible for creating opportunities for generating revenue through sponsorships, cutting expenses, or fundraising. You and your team will be responsible for creating budgets, income statements, balance sheets, etc. You and your team will use your financial, accounting, data analytics, and forecasting skills.
Professor Nancy Lough invited Neil Schwartz from SBRnet to speak to her senior-level sports management class. The session focused on helping students understand how to integrate data from Sports Market Analytics data platform from SBRnet into their projects. The students were working on group projects covering various subjects, and they discussed the types of data that would help them build their business and marketing cases.
Professor Jon Casper invited SBRnet's Neil Schwartz into his PRT 476 Sports Marketing Class. There was some lively discussion about how to incorporate data into their various sports marketing assignments and topics. In the session, Neil presented a template to help students integrate the SBRnet data to answer the tough questions focused on how to determine proper targets for Sports Gambling companies plus marketing and overcoming specific challenges related to growing that business.
Check out this twenty minute introductory video to Sports Market Analytics from SBRnet for the students at ISDE in Madrid Spain. They are going to use the data for a variety of different applications.
SBRnet's Neil Schwartz was invited to speak in Dr. Lane Wakefield's Sales and Sports Class at Baylor University. “Sports Marketing and Sales” is the class for students to understand sports marketing, particularly through hands-on experience pitching two of the primary revenue generators in sports and entertainment--tickets and partnerships.
The Library team from the University of Southern California (USC) invited Neil Schwartz to speak with members of the Business Library and General Library staff to get a comprehensive look at the Sports Market Analytics Sports Business data platform from SBRnet. During the presentation, Neil spoke directly to specific use cases and what data is available for various applications. This is a great overview of the SBRnet site.
This is an introduction to using data for Dr Jesse Mala's Asynchronous Sports Management Class for graduate students. The presentation is focused on how data can inspire and change things for all sorts of subjects when it comes to the business of sports.
Assistant Professor Jim Scott invited Neil Schwartz from SBRnet to speak to his Sports Marketing 3100 class. The class is focusing on a great homegrown idea called "The Panther Project", which aims to stimulate growth in the High Point Sports teams by encouraging greater fan engagement, attendance, and overall support. This is a real-life situation that provides students with an opportunity to apply their knowledge in a practical setting. their knowledge in a practical setting. their knowledge in a practical setting..
Professor Tim Koba from High Point University recently invited Neil Schwartz from SRRnet to speak to his Strategic Management for Sports class about how data plays a crucial role in the decision-making process at all levels of the sports industry. The class focused on Peacock Streaming Network's recent decision to air an NFL playoff game and discussed how data was used to make this $110 million decision. They also discussed the key performance indicators (KPIs) and benchmarks used to measure the success or failure of the decision.
Tim Koba, Sports Management Professor at High Point University invited SBRnet’s Neil Schwartz in to speak to his Leadership in Sports class on what it takes to be a good leader. Aspiring sport managers must possess an understanding of the fundamental tenets of organizational behavior and leadership principles, especially as they relate to the sport industry. Generally, the purpose of this course is to help students develop the tools and skills necessary to become successful members or sport organizations and to effectively organize, motivate, and lead others to be equally successful.
SBRnet’s own Neil Schwartz was invited in to speak with the students from Professor Kirk Wakefield’s MKT 4360 class at Baylor University. During the class, the focus was on how sports fandom and sports fans have changed their habits following the great pandemic. Early in the session, students were asked to answer the question focused on what habit’s they have changed with respect to their consumptions of sports as it relates to being a fan. The class then turned its attention to the changing relationship between traditional TV/Satellite viewing of sporting events to streaming. The class takes a hands-on hybrid approach that prepares students to understand, analyze, and manage data to create actionable customer insights.
Neil was recently invited to present to The Sports Communication class taught by Professor Lester Sombrito at Mary Hardin-Baylor University. In this class, the plan was to work with students to help them develop a data driven media and communications plan focused on the MLS. They have a class project to analyze the communication of an MLS team (each student has selected the MLS team that they are following). Neil shared some ideas with students on how they can utilize the data in SBRnet of MLS fans and teams to understand the messaging of a team’s audience and the impact it has on the team’s communication.
Insights Powered by Data, Statistics and Machine Learning plus creating analytics and visualizations with Python. Recent breakthroughs in data, statistics and machine learning are changing how industries create and act on marketing research and analytics. Through an emphasis on understanding the concepts underlying marketing research and analytics, this course seeks to demystify these important techniques. This course is taught by Brian Hall, Adjunct Professor and expert in the field of using AI and Machine Learning for Sports Data Analysis.
Sport and Consumers (SM435) and is taught by Dr. Dae Hee Kwak. Course Aim: This course aims to broaden your theoretical understanding of the “why” component in sport consumers’ decisions and their behaviors. Having said that, the focus of this course is to examine what is in the ‘black box’ that influences individual decisions. Therefore, one of the major learning objectives of this course is to get an in-depth look into scholarly work and connect them to the real world.
Professor Doug Nickerson invited SBRnet’s Neil Schwartz into class to discuss the in’s and out’s of the various research methodologies that are available for Sports and a better understanding of fans and consumers. Neil focused on the Premier Hockey Federation to use as an example on how to focus attention on the consumer.
Long Island University: Roc Nation School of Music, Sports & Entertainment This course examines contemporary and productive management principles and concepts used throughout the sports industry and various sport organizations. Through this course, students will learn skills related to creative problem solving and strategic planning, while developing the skills to lead, organize, and delegate in managerial and leadership positions. Neil was invited into class to provide an introduction to data driven decision making and how data analytics can help create and then reinforce that process.
Scott Angarola, Ph.D. Associate Professor, Sports Program Director Long Island University
At the 2022 Sports Marketing Association Conference in Charlotte, North Carolina, SBRnet together with Chloe Kim a student at NYU along with her adjunct professor, Brian Hall presented a case study that was focused on A Data Driven Approach to Moving the Phoenix Coyotes to a new location. The presentation was hosted by Mark Sullivan and Neil Schwartz. According to Schwartz, the presentation was focused on using data for a variety of different steps in the case. Chloe also did a great job integrating some other data from sources like the US Census and NHL.com.
Neil Schwartz was recently asked to pre-record an in-class session for SPM 400 at Wilmington University. Class is devoted to financial aspects within the sports industry. The class is taught by faculty member and academic advisor, Jeanne Debois. As the class is conducted as an independant study, the session was pre-recorded so that students were able to be informed about the big class project due at the end of the term. The session focused on using data to show how fans that travel to support their favorite teams can be a significant value-added benefit when teams are building sports sponsorship packages.
On Tuesday evening, September 27th, Neil joined the IPSM-711 Sport Marketing Class taught by Professor Nancy Lough at the University of Nevada, Las Vegas. This course is a study of the conceptual and empirical approaches sport leaders can utilize for building relationships with stakeholders of college sport programs. Topics being covered: responsible innovation, consumer behavior, strategic marketing plan development, corporate sponsorship, brand building, licensing, protection of intellectual property, promotion and advertising, marketing ethics, social media strategy as well as application of market research in the college sport context. During the class, Neil discussed how the Sports Market Analytics data platform could provide them the information needed to conduct data driven problem solving and strategic planning. Neil specifically focused on how the team-by-team data for college sports can be applied to better understand how sports gambling platform operators can best create partnerships for the college market.
On Thursday, September 29th, Neil sat in the Beginning, Data Analytics for Sports class taught by Professor Richard Bishop at the University of Mount Union in Alliance, Ohio. This was Neil’s second appearance in the class. The first visit, Neil presented the data that is available via the Sports Market Analytics sports data platform. From there, he introduced a single subject challenge to the students designed to help them become familiar with using data to help prove their respective objective and create a sponsorship rationale. The nature of the project was to determine if the AFC or NFC fans of the NFL presented a better target for a Cheesesteak, fast casual restaurant looking to move from a local favorite to national attention. In the second class, students created a series of questions about what they had learned from their in class discussions with Professor Bishop plus what they were also able to learn on their own by looking at the data from SMA. Then they brought these questions to Neil and he was able to point them in the right direction with respect to which data will be useful for the next phase of the project. Neil will be joining the class one more time in early December, 2022 for the final presentations.
Professor Jesse Mala from Mary Hardin Baylor University invited Neil from SBRnet to come in and record a presentation for his graduate level Sports Management class. This is an Asynchronous class so the session was pre-recorded and distributed to students. This can also serve as a great SBRnet usage tutorial.
SBRnet and National Sports Forum presents an indepth look at sports gambling. This presentation is co-hosted by Neil Schwartz of SBRnet and Sports Market Analytics and Jonathan Michaels.
Instructors: Neil Schwartz, Mark Sullivan On April 7th 2022, Mark and Neil were invited to discuss their 2022 Sports Fan Study findings on a webinar hosted by the Thomas Yoseloff Business Center. At the New York Public Library. The webinar looked at many of the unique and important data points that are being formed as sports fans return to live sporting events. The webinar started out talking about the process of using data like what is available on the Sports Market Analytics platform. In addition, the webinar took an in-depth look at what’s going on with sports fans, the evolving world of Sports Gambling, Women’s Sports and then turned its view to New York’s 2 Major League Baseball Teams.
Instructor: Brian Hall, Adjunct Professor
Recent breakthroughs in data, statistics and machine learning are changing how industries create and act on marketing research and analytics. Through an emphasis on understanding the concepts underlying marketing research and analytics, this course seeks to demystify these important techniques. Topics include:
Neil from SBRnet was invited into class to help evaluate the data plans for each student and make recommendations on how they could use the data on the Sports Market Analytics site to develop a more targeted and strategic plan. Each student selected a specific use case for data and analytics and then presented the plan in class.
SBRnet President and resident data junkie was invited to speak in the Sports Analytics Class at Wilmington University. The class is taught by Janice Wardle, Ph.D, Assistant Professor and Chair of the Sports Management Program at WU. The class suggested a specific topic focused on helping the Philadelphia Phillies sell more season ticket packages. As a coincidence, Neil is a native Philly boy and has a deep seeded interest in using various sources of data like Sports Market Analytics to help present a basic marketing plan focused on that objective.
Neil Schwartz and Mark Sullivan were invited to speak to the Sales and Revenue Generation in Sport class at Texas A&M University taught by Dr. Natasha Brison. The presentation focused on how to utilize SBRnet's database to conduct research related to developing sponsorship proposals.
On November 4th 2021, Mark and Neil were invited to present to the SMG 4100: Strategic Management in Sports Organizations, class. The objective is to learn and apply strategic management assessment, planning, implementation, and evaluation applied to sport and fitness organizations.
Mark Sullivan and Neil Schwartz participated in Professor Lisa Delpy Naiotti’s class that focused on using data as an integral part of their research and strategic thinking. We focused our attention om looking at various research methodologies. We used the recently released Sports Fandom in. Post Pandemic World as the focus for the presentation.
Neil Schwartz and Mark Sullivan spent some time with the Sport in Society Class taught by Professor Scott Huckaby. The presentation utilized data from SBRnet’s 2021 Sports Fandom proprietary research focused on the changing nature of Sports Fandom focused on a variety of subjects including: Sports Gambling, Fantasy Sports, Streaming Media, Gaming and Social Media Engagement.
Mark Sullivan and Neil Schwartz were invited to speak in the Sports Business Class at Linfield University taught by Dr. Natalie Welch. The presentation took a bit of a deep dive into looking at Sports Fandom in a Post Pandemic environment and how things have been changed across the board thanks to Covid 19.
SBRnet President, Neil Schwartz was invited to speak to the Sport Marketing Class taught by Dr. Jonathan Casper, Associate Professor at North Carolina State University. During the class, Neil discussed a variety of subjects that were focused on the process of using data and research as part of the market planning and strategic process.
On Tuesday, September 28th, Mark and Neil were asked to teach a series of classes at the Syracuse University Falk College of Sport & Human Dynamics. Classes focused on hunting down, using data and then telling a story for various applications focused on Sports Data Analytics.