Why do so many data and tech initiatives fail?

Many organizations invest in data and technology initiatives, but have difficulty understanding why they succeed in some environments and stall in others.

Across organizations, data and technology challenges rarely stem from the technology itself. Instead, they tend to reflect recurring organizational constraints around who has authority to act, what incentives shape behaviour, how evidence influences decisions, and whether learning accumulates over time.

This diagnostic framework highlights four areas where organizations tend to mistake structural challenges for ones related to data and technology. 

Use this diagnostic and share it with your colleagues to start conversations and reflect on where friction might actually be emerging in your work.

If the framework surfaces questions in your organization or in the initiatives you support, we’re always open to confidential conversations about your work and the challenges you are facing.