Part 4/9:
Furthermore, a separate study involving over 300 data analysis leaders uncovered that nearly 44% of a data engineer’s time is spent on data preparation and integration. This amounts to significant financial expenditure—potentially over half a million dollars annually per company—spent merely to prepare data for analysis rather than deriving value from it.
The Hidden Cost of Data Delays
Alarmingly, 71% of end-users within organizations reported operating on outdated or error-prone datasets. These inaccuracies lead to bad decisions and missed revenue opportunities, emphasizing how critical real-time and reliable data access is for business agility.