Dimension Data releases summary of Tour de France analytics
IT services company, Dimension Data, has released the summary of statistics on the first 11 stages of this year’s Tour de France race. This announcement comes off the back of the company recently revealing that it will equip the race with Big Data analytics and a digital delivery platform.
The company has processed and analysed data coming from trackers on the saddles of riders in the first 11 stages of the race.
Some key highlights of the Big Data analytics include:
- The highest speed in the first 11 stages was 109.08km/h by Lars Boom during stage three at the 144km mark. This was followed by 93.38km/h by Alejando Valverde at the 149km mark at stage 11; 78.48km/h by André Greipel on stage five at 89.4 km; and John Degenkolb in stage five at 89 km; with Nicolas Roche at 78.37km/h during stage nine at 16km.
- The highest average speed achieved by a stage winner was 55.45km/h (Rohan Dennis on stage one), while the average speed across all riders for the first 11 stages was 42.46km/h.
- The average speed of the riders during the bid spill in the third stage was 42.03km/h.
- The analysis of riders’ speed through a Feed Zone shows that on average, riders slowdown 20km/h when picking up musette bags.
Dimension Data executive chairman, Jeremy Ord, said its datas analytics team on the ground is currently processing between 1.5 million and 2.5 million records per stage.
“The complicated analytical information and processing on the beta live tracking site for the first half of the race has run smoothly. It’s very exciting to see the high speeds that riders are achieving.
“However, we think these speeds could be even higher. That’s because there have been areas along the route - especially in the mountains - that we did not receive transmission of signal from the trackers. Overall, the response from the public has been fantastic,” he said.
