Podataka by Axoquant
Podataka

Data maturitywith intelligence

Data maturity instrument

Data maturity, scored by the people who hold each part of it.

Podataka 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.

Current build: 467 questions across ten role banks, from Senior Executive (30) and Chief Information Officer (37) through Data Steward (65) and Data Engineer (50) to Information Domain Lead (30) and Project Manager (30). The instrument runs the Data Maturity assessment; Data Risk, Data Fairness, AI Readiness and AI Maturity are the next assessment types planned on the same framework.
FIG. 1 — WEIGHTED MATURITY BY DIMENSION, DEMONSTRATION ASSESSMENT
1 2 3 4 5 STR Data Strategy 2.99 4.39 1.40 GOV Data Governance 3.01 4.34 1.32 ARC Architecture 3.06 4.36 1.30 DQT Data Quality 3.04 4.36 1.32 MDT Metadata 2.91 4.32 1.41 DST Data Analytics 2.95 4.27 1.32 INT Intelligence 2.96 4.30 1.34 CUL Data Culture 3.16 4.44 1.28 GAP
One assessment, a demonstration organisation: 6 participants, 270 questions answered (one answer per applicable question, coverage 1.00), roles Chief Data Officer at SFIA 7, Data Steward at 5, Data Engineer at 4, Data Consumer at 3, Senior Executive at 7 and Project Manager at 5. Grey marks are as-is; ink marks are to-be; the accent numeral at right is the gap the engagement is scoped against. Scores are the engine's weighted mean, Σ(score × impact × experience) ÷ Σ(impact × experience), on the 1 to 5 maturity scale. Reproduced from the instrument's own draft report; no figure on this site is hand-entered.

Eight dimensions, four pillars

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.

STRData Strategy
GOVData Governance
ARCArchitecture
DQTData Quality
MDTMetadata
DSTData Analytics
INTIntelligence
CULData Culture

Scope

The assessment is set at one of four scopes: the whole organisation, one information domain, one business unit, or one project. Every question carries its relevance to each scope, so the questionnaire is drawn from the questions that fit the scope being assessed rather than asking a project sponsor about board-level governance. The same instrument therefore reads a department and a group on the same scale.

Seniority

Each participant is placed at a seniority grade from their role, skill level and years in the role, and sees the questions that grade is expected to answer. An executive is not asked what a junior steward monitors day to day, and a steward is not asked to account for board mandate.

Repetition

Podataka 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.

What the engagement leaves behind

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.

Request an assessment → Open the live instrument →