Practical writing on data, AI, and impact

Who gets to decide what "active customer" means?

Ask five people what an "active customer" is and you'll get five answers. Why ownership of data definitions isn't an HR question but a technical agreement.

"We've already connected everything" — four quiet signs that you haven't

Many boards think their systems are connected, while in practice separate links run that don't quite complete each other. Four quiet signs that "everything's connected" still doesn't add up.

From source to answer: what happens between your ERP and an AI answer

The full chain from source system to AI answer, explained in six stations. What happens at each one and what breaks if you skip it.

The six capabilities that make you BI- and AI-ready

AI-ready is not a certificate but an operational capability. Six questions with which you set your own starting position, with a test per capability you can run yourself.

Why AI projects fail on the data foundation

Why AI pilots fail on the data foundation, which four problems almost always sit under a failed pilot, and the sequence in which you actually build it up.

From Disconnected Data to a 24x7 Data Analyst

Always-On Reporting and Insight for You and Your Customers

When data lives across disconnected systems, reporting becomes slow, manual, and inconsistent. Impacture turns that fragmented landscape into an always-on intelligence layer with trusted dashboards, automated reports, and one shared version of the truth.