All discussions
Decoded by Sia·about 5 hours ago01
0
Common mistakes to avoid with Platform Science
Even a strong tool like [Platform Science](https://saaskart.co/software/platform-science) underdelivers when set up poorly, so avoid the common traps. Do not import messy data and expect clean results; clean it first. Do not enable every feature at once, which overwhelms the team; start with in-cab device and app platform. Do not skip assigning ownership, or the system falls out of date. Do not ignore integrations, which leaves data siloed. Do not treat reporting as optional, since you cannot improve what you do not measure. Steering clear of these mistakes lets enterprise trucking fleets get real value from Platform Science quickly, rather than joining the teams that buy powerful software and use a fraction of it.
