During my triathlon years, I was amazed with the impact data has on a training program. GPS devices, wearables, and tracking apps seriously changed how triathletes viewed their training. Rather than going by feel, triathletes could “see” their workouts with data visualizations. Areas for improvement were quickly identified and brought to the front for full attention.
As technology continues to improve, our wearables get more complex and accurate, and triathlons become more competitive, we need a better way to digest our data. Very much as Tableau has created a better and more robust platform for visualizing and forecasting business data, this same functionality must come triathlon.
What is the real problem? It is the same problem I tried to address with TrainingMetrix, combining all of a triathlete’s data into a single source to derive insights and forecast future workouts. To this day, we still deal with separate databases and apps for our workouts and nutrition. Companies like Garmin and MyFitnessPal have improved integration, bringing nutrition and workout data a tad closer. But, we are still missing the insights… the indicator of diet quality, the indication of over training, and the ability to see progress at the highest level.
This is where my dream of triathlon intelligence comes in. Combining each data set not just for visualization, but combining the data set in a way which tells the future. Perhaps I want the crystal ball of triathlon training… nothing big. lol
Where does this go from here? It starts a new era in research and passion. For myself re-entering triathlon training has renewed my search for the ultimate solution. In future posts, we will explore some of the solutions on the market including what is good and what is bad.