Why Most BI Projects Fail in the First 90 Days

BI projects do not fail at go-live. They fail in the three months before, when the decisions that determine success get made under time pressure with incomplete information.

These are the patterns we see in projects that do not deliver.

The scope was wrong from the start

The most common failure mode is a scope that was defined by what was technically possible rather than what the business actually needed. A 50-dashboard BI implementation that cost six months of work and gets used by three people failed because nobody validated demand before building supply.

Scope should be driven by the specific decisions that specific people need to make. Start with five things that would meaningfully change how your business is run if you could see them clearly. Build those first.

The data was not ready

The dashboard cannot show accurate numbers if the source data is wrong. An ERP where item costs have not been updated in two years, a CRM where deal stages mean different things to different reps, a database with duplicate customer records - these problems do not get fixed by the BI tool. They have to be fixed at the source.

A week spent on data quality before development starts saves a month of troubleshooting after go-live.

The right people were not involved

BI projects sponsored by IT and built by IT without consistent input from the business users who will live with the output almost never produce dashboards people use. The people who understand the data and the people who will use the dashboards need to be in every design review.

User adoption was assumed, not planned

Building the dashboard is not the end of the project. How will users find it? Who will train them? Who is responsible when something looks wrong? Adoption requires the same planning as development.

If you are in the early stages of a BI initiative, the most valuable conversation is about process and scope before any technology decisions. Reach out and we will give you a straight assessment.