Twenty-five years of enterprise BI projects. The failures repeat. These are the patterns.
A report can pass every technical review and still go unused, because nobody checked whether the audience could read it. Data literacy is a design input you need before the first visual, not training you add after adoption stalls.
Read articleA report I built died in four seconds. Not from an error, from one number that did not match the figure the user already trusted. The first number they check decides everything that follows.
Read articleA BI system I built was dead within a year. The build was fine. What decided its fate was never the code. It was whether anyone inside was set up to own it after I left.
Read articleTwo people read the same Power BI report and got different customer numbers. Neither was wrong. The missing piece was an agreement nobody had written down.
Read articleSelf-service BI promised every team access to data. What most organisations got was forty reports nobody trusts and decisions made from the wrong source.
Read articleThe change requests piling up after delivery are not scope creep. They are the discovery phase your project refused to pay for upfront, now arriving at three times the cost.
Read articleWhen finance and sales produce different revenue numbers from the same system, the problem is not the data. It is that nobody was ever held accountable for agreeing on a definition.
Read articleWhen the BI developer is excluded from the requirements phase, the specification is structurally wrong before the build begins. The change requests after delivery were visible from week one.
Read articleStakeholder meetings produce consensus, not real requirements. Here is how that meeting led to a report nobody used, and what the pattern teaches.
Read articleI have watched BI projects fail the same way for twenty-five years. Not at delivery. Not during testing. They fail in the first two weeks.
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