Unlocking value from data is a journey. It involves investing in data infrastructure, analysts, scientists, and processes for managing data consumption. Even when data operations teams progress along this journey, growing pains crop up as more users want more data. The problems can spike quickly or grow subtly over time. You don’t have to grin and bear it; some tools and approaches can fix this. However, your data team should recognize that the following “time sink” issues are real and have a strategy to deal with them.