MHKBI — Data Readiness Dashboard

Stakeholders Assessed

5 / 6

1 outstanding — reminder sent

Org-Wide Average Score

13 / 20

+2 vs. baseline (Q2)

Sections Structured+

60%

Structured or Advanced overall

Sections Flagged

Data Governance — review priority

Org-Wide Average Score Over Time

Tracked against baseline · re-assessment cadence: quarterly

Stakeholder Perception Spread

5 stakeholders, by how they scored org-wide readiness overall

Foundational

0 people

Emerging

2 people

Structured

2 people

Advanced

1 person

Org-Wide Score by Dimension

Average across all respondents, out of 4

Data Infrastructure2.6 / 4

Data Governance1.7 / 4

Data-Driven Culture2.9 / 4

Where the org-wide opportunity is Data Governance is the clear laggard — no one formally owns data quality or definitions today. This is the natural focus before investing further in dashboards or AI.

Stakeholder Perspectives

Individual scores from each respondent

Respondent	Score	Band
CTO / VP Data	16	Structured
Analytics Lead	15	Structured
IT Director	12	Emerging
Finance Lead	11	Emerging
COO	17	Structured

Pattern Stakeholders outside of IT/Analytics (Finance, Operations) consistently score data governance lower than technical leadership — suggesting the gap is more visible to the people relying on the data than to the people producing it.

Dimension Detail & Recommended Focus

Every dimension, with the same recommendation logic used in the live diagnostic

Dimension	Score	Band	Recommended Focus
Data-Driven Culture	2.9 / 4	Structured	Focus on getting trusted dashboards in front of leadership consistently, so decisions start pulling from data by default.
Data Infrastructure	2.6 / 4	Structured	Prioritize connecting core systems and reducing manual exports before investing further in dashboards or AI.
Data Governance	1.7 / 4	Foundational	Start by naming a clear owner for data quality and definitions — governance gaps compound everything downstream.