DataPulse is a structured review of how an organisation governs, manages and uses its data. It measures capability on a five-level maturity model across eight dimensions, and it reports the distance between where the organisation is and where it intends to be.
It is not a flat survey. The same question is put to different roles, and each role's answer carries its own weight: an impact factor set per role and per question, multiplied by an experience factor derived from the respondent's SFIA level. Executive vision and operational grip are therefore scored as distinct perspectives, not averaged into one voice.
The instrument is delivered as an engagement: participants answer in their own words and on their own scores, and the result is a weighted maturity position, the gaps that follow from it, and a draft report with a consultant's analysis on top.
Every question belongs to one of eight dimensions and to one of four pillars — People, Process, Technology, Business Value. The pillars describe where a finding lives; the dimensions are what gets scored.
The assessment is set at one organisational level — enterprise, business unit, business function, information domain, or project — and the question set is filtered to that scope, so the same instrument reads a department and a group on the same scale.
DataPulse is built to be run again. Scores are comparable across cycles on the same scope, which makes it a benchmark rather than a one-off diagnostic: the second assessment is where movement is visible.
A weighted maturity position per dimension, the as-is and to-be scores behind it, and the gaps ranked by size. Behind the scores sit the participants' verbatim inputs — justifications, good and bad practices, proposed improvements, business benefits — kept per role so the report can say who holds a view, not just that a view exists.