How English Premier League clubs use Big Data to attain success
As the Barclays premier League season comes to an end this afternoon with either Manchester City and Liverpool likely to win depending on their respective results, it has been a week that has had plenty of discussions about the English Premier league’s use of big data and analytics which is no longer limited to Information and Technology. Folks in marketing the English Premier League, business gurus and even product heads in clubs, corporate companies have been eager to learn more and make good use of it. Advanced capabilities to collect, integrate and process the data and to gain insights and business value from the data. It’s not so much about the volume of the data, what matters is the organization’s ability to acquire, explore, understand, and leverage it. In Finland, the technology, approaches and most effective practices around Big Data have been evolving rapidly over the previous years.
While I was still fresh in the tech industry over a decade back, Business Intelligence and data warehousing technologies and approaches were being hyped, which is similar in terms of concepts and advertised business benefits with big data. Just like now, it was build the infrastructure and the business will invent ways to get value out of the information. The technologies to address such issues have evolved significantly in recent past and are now lot more robust and interoperable with existing IT infrastructures. Luckily, the capabilities of these solutions have kept pace with increase in data volumes. In English Premier League, football clubs no longer have concern about that. When it comes to log management technologies that can collect information from many systems, across geographies, are also available with an example being Manchester United Football club, with over 650 million fans in over 200 countries using advanced integration capabilities to collect and process the diverse information and incorporate it into active Big Data analysis for spotting marketing and advertising opportunities.
This has led to football teams reviewing some Big Data themes with solid curiosity, and a few, who I interact with directly, have some research and development activities ongoing to evaluate Big Data technologies and how best they can utilize them. Some have actually started implementing Big Data solutions to the point where they are getting meaningful business. Data analysts and businesses help to interactively explore and use it to gain new insights. Data visualization, better display of Big Data and data discovery tools help banks in determining the main cause of the dissatisfaction among a high percentage of customers. They can link and find relationships between a rich set of interaction points and user satisfaction scores. As the Premier League ends today, it is the chief executives in the football clubs who will have to bring about the change required to adopt and adapt to get the huge value from their data initiatives. The analytics tools and techniques are much more prominent now appearing more mainstream in the areas of interactive visual analytics providing powerful statistical modeling and predictive analytics in English Premier League football.