How Asking Better Questions and Eliminating Silos Makes Athlete Data More Useful

When athlete data management first started, wearables were still in their infancy, so there was a limited amount of information available. Due to restricted connectivity, this had to be collected and entered manually. Then as devices advanced and diversified, the amount of data greatly increased, and the main challenge became centralizing it on a single platform. Now we’re entering a third stage, in which the onus is on interpreting the data and making it actionable.

How Asking Better Questions and Eliminating Silos Makes Athlete Data More Useful

When athlete data management first started, wearables were still in their infancy, so there was a limited amount of information available. Due to restricted connectivity, this had to be collected and entered manually. Then as devices advanced and diversified, the amount of data greatly increased, and the main challenge became centralizing it on a single platform. Now we’re entering a third stage, in which the onus is on interpreting the data and making it actionable.