Data Signal

The blog where we check whether the numbers deserve the attention they're getting.

Data Signal publishes practical pieces on data analytics, business intelligence, data engineering, dashboards, visualization and AI. Most articles start from a real reporting problem: a KPI nobody trusts, a dashboard with forty tiles, a forecast that got treated as a fact. We work back from the decision the data is meant to support, then look at the source, the gaps and what would change the answer.

Articles are written by Maya Chen, a disclosed pen name used by our content team. Pieces aim to be readable by a founder or a finance lead and still useful to the analyst who has to build the thing. Sources are named and linked, and model outputs are labeled as estimates.

New pieces go out as they're ready rather than on a fixed quota. Pick a section below, or start with the latest.