Operating in an analytics-driven manner is a priority for agencies across the U.S. public sector. In part, this change is due to mandates like the Federal Data Strategy but also a desire to replicate the private sector data-first approach.
Unfortunately, leveraging data is incredibly hard. Time and again, I’ve seen groups and individuals tasked with delivering digital transformations tripped up by stalled projects, never-ending timelines and blown budgets on bad tech decisions.
Identifying these challenges and planning how to address them before embarking on a new analytics project can dramatically increase the chance of success.
Here are the five most common pitfalls that I have seen IT leaders fall prey to during digital transformations.