By C. Keith Harrison,Scott Bukstein

Developing and imposing a scientific analytics procedure may end up in a sustainable aggressive virtue in the recreation enterprise undefined. This well timed and suitable e-book offers functional thoughts to assemble info after which convert that info into significant, value-added info and actionable insights. Its basic goal is to assist game enterprise enterprises make the most of data-driven decision-making to generate optimum profit from such parts as price tag revenues and company partnerships. subsequently, the ebook comprises in-depth case stories from such top activities firms because the Orlando Magic, Tampa Bay Buccaneers, Duke college, and the Aspire Group.


The middle function of activity enterprise analytics is to transform uncooked facts into details that allows game company execs to make strategic enterprise judgements that bring about enhanced corporation monetary functionality and a measurable and sustainable aggressive virtue. Readers will know about the function of massive information and analytics in:



  • Ticket pricing

  • Season price tag member retention

  • Fan engagement

  • Sponsorship valuation

  • Customer courting management

  • Digital marketing

  • Market research

  • Data visualization.

This e-book examines alterations within the ticketing market and spotlights leading edge ticketing suggestions utilized in numerous recreation firms. It exhibits the right way to have interaction enthusiasts with social media and electronic analytics, offers suggestions to research engagement and advertising innovations, and explains easy methods to make the most of analytics to leverage fan engagement to augment profit for recreation organizations.


Filled with insightful case stories, this publication merits either activities company execs and scholars. The concluding bankruptcy on instructing activity analytics additional complements its worth to academics.

Show description

Read or Download Sport Business Analytics: Using Data to Increase Revenue and Improve Operational Efficiency (Data Analytics Applications) PDF

Similar data mining books

Robust Data Mining (SpringerBriefs in Optimization)

Facts uncertainty is an idea heavily similar with such a lot genuine existence purposes that contain information assortment and interpretation. Examples are available in information obtained with biomedical tools or different experimental recommendations. Integration of sturdy optimization within the present info mining thoughts goal to create new algorithms resilient to errors and noise.

Data Mining Mobile Devices

With today’s shoppers spending extra time on their mobiles than on their computers, new tools of empirical stochastic modeling have emerged which could supply retailers with particular information regarding the goods, content material, and prone their clients hope. info Mining cellular units defines the gathering of machine-sensed environmental facts touching on human social habit.

Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data

Details safeguard Analytics delivers insights into the perform of analytics and, extra importantly, how one can make the most of analytic suggestions to spot developments and outliers that won't be attainable to spot utilizing conventional defense research thoughts. details protection Analytics dispels the parable that analytics in the info safety area is restricted to only protection incident and occasion administration platforms and simple community research.

Big Data Analytics Using Multiple Criteria Decision-Making Models (Operations Research Series)

A number of standards determination Making (MCDM) is a subfield of Operations study, facing selection making difficulties. A decision-making challenge is characterised by way of the necessity to opt for one or a couple of between a few choices. the sector of MCDM assumes distinct significance during this period of massive info and enterprise Analytics.

Extra resources for Sport Business Analytics: Using Data to Increase Revenue and Improve Operational Efficiency (Data Analytics Applications)

Sample text

Download PDF sample

Rated 4.98 of 5 – based on 13 votes