Any time new technologies or systems become too valuable or ubiquitous not to integrate for businesses across industry, there are holdouts that cling to the old ways or prioritize the familiar over the innovative. Those organizations tend not to last long.
But even among adopters, there are those companies that try and fail to merge the old with the new, while others make it happen. We’re seeing this on full display in the areas of sports, where organizations are challenged to integrate legacy data with new collection technologies and data sets. What sets the success stories apart?
When faced with waves of new data due to advancements in automation and data collection methods, a sports organization should first acknowledge that it’s a good problem to have. With technology like lidar, for example (a laser-based movement-tracking system), that is focused on improving the accuracy, depth of information and seamlessness of data collection, performance evaluators now have access to an enormous, untapped trove of data that can be used to better inform their decisions. The question then becomes: how does a club manage that influx of new data?
First, preach patience. Consider that organizations and their data teams have been using the same methods and approaches, making the same assumptions and associations, for years. Old habits die hard. And because advanced analytics can be applied to everything from game strategy to the optimal types of soda served at the stadium concession stands, an organization adopting these technologies for the first time will need across-the-board buy-in. That takes time.
The biggest challenge, however, is integrating an organization’s historic data with modern information. Collection technologies and methods aren’t all that have changed in this area. Today’s data looks very different than that of the past, and in some cases, the types of measurements don’t align with previous data sets. How do an organization’s data teams solve this problem? Start here:
The key for sports organizations integrating old and new technologies, methodologies and information is to take a deep, thorough dive into the data. Raw historical data don't help most clubs. Data needs to be easily understood by new user profiles down to make it viable, which takes valuable time and which may leech all its usefulness in the process.
A schism may exist between data sets tracking similar or identical movements using different technologies or approaches. When measuring the force of a kick on the pitch, for instance, data collected from wearables attached to a player’s boot may not easily integrate with data collected that measured that same kick using laser-based lidar.
And because wearable technologies are limiting in where and how often those measurements can be tracked, there may be gaps in the feedback from the tech due to missing data points. Data smoothing can’t stitch this information together.
Upgrading to new technologies is, of course, often worth it. Take lidar, which is more accurate while being more portable and unobtrusive from the player’s standpoint than past tech. The challenge of data integration is the only noteworthy downside to adopting lidar for a club’s player evaluation department. And with the right plan, even that challenge can be solved.
Raf Keustermans is the CEO of Sportlight Technology.
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