
Data Science for Sport Business: Examples and Challenges
Explore the use of data science in sports events, success stories despite pandemics, logistical applications, and discussions on participant data privacy. Discover how data science can benefit sports organizers and learn about common challenges faced in sports data management.
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Presentation Transcript
Data Science fr Sportveranstaltungen FH K rnten & DIHS d 27.09.2021
Agenda Begr ung Sportveranstaltungen als Datenlieferant Erfolgsstories im Sportbusiness trotz (oder gerade durch) Pandemie Beispiele f r Data Science im Sport Pause Beispiele f r Data Science in der Logistik Diskussion Datenschutz rund um Teilnehmer*innendaten Neue M glichkeiten f r den Sportveranstalter durch Data Science WWW.FH-KAERNTEN.AT 2
SportveranstaltungenalsDatenlieferant WWW.FH-KAERNTEN.AT 3
SportveranstaltungenalsDatenlieferant WWW.FH-KAERNTEN.AT 4
SportveranstaltungenalsDatenlieferant Different error types and order -> difficulties -> challenges to D.S. Technical failures (RFID detection, communication or power break down) Wrong settings in the Timing Point Athletes wear wrong assigned chips Athletes are wrong assigned to course/category/gender Missinterpreted course configurations Wrong directed athletes by volunteers or spectators Athletes mistakes (disorientation or cheating) WWW.FH-KAERNTEN.AT 5
SportveranstaltungenalsDatenlieferant Linear uninterrupted competition Start Finish Linear interrupted competition Start Finish/Start Finish/Start Finish Repetitive competition n (?) laps Start Finish Athletes pass Finish Line WWW.FH-KAERNTEN.AT 6
SportveranstaltungenalsDatenlieferant Linear Moving Finish Line Finish Line passes Athletes Start->Finish WWW.FH-KAERNTEN.AT 7
SportveranstaltungenalsDatenlieferant Classical Best in Time Competition Distance Limited by distance Fast Athlete Slow Athlete Time Gun Time First passing Last passing WWW.FH-KAERNTEN.AT 8
SportveranstaltungenalsDatenlieferant Alternative Best in Distance Competition Distance Farest Passing Nearest Passing Fast Athlete Slow Athlete Time Gun Time Limited by time WWW.FH-KAERNTEN.AT 9
SportveranstaltungenalsDatenlieferant Moving Finish Line Profile Distance Speed n Farest Passing Nearest Passing Endurance Athlete Speed 1 Speed 2 Average Athlete Time Gun Time Speed change Speed change Finish Line starts moving First passing Last passing WWW.FH-KAERNTEN.AT 10
Erfolgsstories trotz (odergeradedurch) Pandemie New running event format -> successful transformation into virtual event Thinking in distances and not in times Reduces the gap between pro & agegroup athletes Considering some restrictions to athletes during passing process of the finish line (on track, orientation) Considering some restriction to course selection (GPS coverage, street width, metallic surrounding) Live coverage possible with mobile network access (GSM, Sat) WWW.FH-KAERNTEN.AT 11
SportveranstaltungenalsDatenlieferant Wings for Life World Run Flagship Run Wings for Life World Run App Run Wings for Life World Run Organized App Run WWW.FH-KAERNTEN.AT 12