Tag: data-strategy
BI only ever saw half your company. AI can see the other half
Business intelligence was always the quantitative side: rows, numbers, things that fit in a column. The qualitative half, the calls and emails and tickets where the why actually lives, was invisible to it. That half is most of your data, and it is where AI adds value BI never could.
One-time question or a permanent dashboard? AI just changed the answer
Every BI team has quietly run the same triage for years: is this worth a dashboard, or is it a one-off? Building a dashboard was the only durable option, so the long tail of one-time questions mostly went unasked. AI collapses the cost of the one-off, and that reshapes the whole portfolio.
Stop building "the ERP agent." The value is in skills that cross functions
Companies build AI agents shaped like their org chart: an ERP agent, an HR agent, a finance agent. Each one is a silo with a chat box. The real payoff shows up when skills compose across functions, because data exists to tell a story or trigger an action, not to sit in one department.
Your old dashboards are the answer key for your new AI
Teams building analytics AI keep starting from a blank page. Meanwhile the most validated business logic they own is sitting in the dashboards they already shipped. Those reports are years of distilled definitions and a ready-made test set. Mine them.