DataCapabilities

Team maturity

Assess and build a great data team

API version only – integrate directly into your existing systems.

Build a great data team

API version only – integrate directly into your existing systems.

  • Get a shared picture of Data/Tech and Business capabilities across your team.
  • Conduct deeper team assessments.
  • See who fits the 7 critical data management roles.
  • Get role-fit guidance.
  • Identify mentoring opportunities.
  • Identify skill gaps and areas of risk across your team.
  • See who complements your existing team – including external vendors and job applicants.

Test as a team

Example result · Team skills

OverallTechBusiness
A. Chen3.43.72.9
S. Rivera3.53.63.4
J. Lee3.64.02.8
P. Nair3.83.44.4
Arch
Model
MDM
Quality
Analytics
A. ChenAnalyst
3
3
2
4
5
S. RiveraSteward
2
3
5
5
3
J. LeeArchitect
5
5
4
3
3
P. NairOwner
2
2
4
3
2

Data Owner

FitStrength
P. Nair8894
S. Rivera8186
A. Chen7479

Weak

None

Risky

Data Architecture3.0

J. Lee

Analytics3.3

A. Chen

Assess → Gain Insights → Develop → Measure Progress

Assess as member of a data team

43 skills · 26 Data/Technology · 17 Business

Sample question · Data/Technology · Architecture

Question 13 of 4330%
Data/Technology

Architecture

The creation, communication, and refinement of principles, methods, and models across Enterprise, Information, Business, and Technology domains to define and guide the enterprise’s future state. This involves assessing current capabilities, aligning them with business goals and external factors, and establishing standards and processes to enable predictable, information-driven organizational evolution.

5 levels to choose as an answer

Real levels for Architecture — level 4 shown

1Level 1
2Level 2
3Level 3
4Level 4
  • Directs the creation and review of an enterprise capability strategy to support the strategic requirements of the overall business. Identifies the business benefits of alternative strategies.
  • Directs development of enterprise-wide architecture and processes which ensure that the strategic application of change is embedded in the management of the organisation.
  • Ensures compliance between overall business strategies, enterprise transformation activities and technology directions, setting strategies, policies, standards and practices.
5Level 5

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Organisation maturity

Assess and improve your data management maturity

API version only – integrate directly into your existing systems.

Assess together as one group

181 questions from 11 Data Management disciplines

Sample question · Data Governance

Question 73 of 18140%
Data Governance

Data Management Planning

We understand the business strategies, priorities, needs, and metrics, such as key performance indicators (KPIs) for information management across the organisation.

5 levels to choose as an answer

Real levels for Data Governance — one shown, others previewed

1Level 1: Initial
2Level 2: Repeatable
3Level 3: Defined
  • Defined Data Ownership Model exists.
  • Ownership Model is loosely applied to key data entities.
  • Limited collaboration across teams & data areas.
  • Ownership is not fully 'bought in' to at an enterprise level.
4Level 4: Managed
5Level 5: Optimised

Optional: give a text answer:

Notes about this discipline (optional)

Get insights and know your current level

Combined Team Performance Across Data Management Disciplines

Result sample from Test as a company

Current level

2.7

Level 3: Defined

  • Defined Data Ownership Model exists.
  • Ownership Model is loosely applied to key data entities.
  • Limited collaboration across teams & data areas.
  • Ownership is not fully 'bought in' to at an enterprise level.

Target level

4

Level 4: Managed

  • Data Ownership Model is implemented for the key data entities.
  • Collaboration between stakeholders in place.
  • Governance process regularly reviews this model and its application, updating and improving as needed.
  • Benefits begin to be realised.
Current LevelTarget LevelBelow target level
DataGovernanceDataQualityMasterDataDataArchitectureDataSecurityDataIntegrationDW / BIContentDataStorageMetadataDataModelling

Disciplines

Data Governance

Target Level 4Below target

3.0

Data Quality Management

Target Level 4Below target

2.0

Reference and Master Data

Target Level 3

3.0

Data Architecture

Target Level 4

4.0

Data Security

Target Level 4Below target

3.0

Data Integration and Interoperability

Target Level 3Below target

2.0

Data Warehousing and Business Intelligence

Target Level 4Below target

3.0

Document and Content Management

Target Level 3Below target

2.0

Data Storage and Operations

Target Level 3

3.0

Metadata

Target Level 4Below target

2.0

Data Modelling and Design

Target Level 4Below target

3.0

Text Answers

Metadata

Showing anonymous text answers for the selected discipline.

Metadata

No text answers available for this assessment.

Implement improvements

Use the discipline gaps, weak areas and target levels to prioritise where your organisation invests next.

Weak / risky disciplines

Weak

Data Quality Management2.0
Data Integration and Interoperability2.0
Document and Content Management2.0
Metadata2.0

Risky

Reference and Master Data3.0
Data Storage and Operations3.0

Repeat and see progress

Re-assess on a schedule and watch current vs target move as capability develops.

Score History — Quarterly (all disciplines)

Current LevelTarget Level
543210
Q1Q2Q3Q4

Current offer

Company-wide data management maturity

API version only – integrate directly into your existing systems.

Add to your purchase

Get −50% by contributing anonymously to our benchmark database.

I want to buy

Company-wide data maturity

Go deeper with multiple perspectives

  • Individual perspectives – multiple answers, not just one team view.
  • Hear your organisation – collect anonymous feedback.
  • Identify weaknesses and risks – across all 11 disciplines.
  • Compare individual scores – see strengths and gaps across your organisation.
  • Find mentoring opportunities – identify strengths and development needs.
  • Set priorities – weight the areas that matter most.

Test as a company

  • Company-wide maturity across the full 11 disciplines of data management.
  • See the current level and where to invest.

One person, or the team answering together

About 60 minutes

Hover to see an example

Example result · Company wide

Current level

2.7

Level 3: Defined

  • Defined Data Ownership Model exists.
  • Ownership Model is loosely applied to key data entities.

Target level

4

Level 4: Managed

  • Data Ownership Model is implemented for the key data entities.
  • Collaboration between stakeholders in place.
DataGovernanceDataQualityMasterDataDataArchitectureDataSecurityDataIntegrationDW / BIContentDataStorageMetadataDataModelling

Weak disciplines

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Tailored solution

Bigger possibilities

Gain a Competitive Advantage with the Consulting Licence

Give customers a reason to meet you.

Offer prospective customers free access to two valuable assessments:

  • Data, Technology & Business Skills Assessment – understand the capabilities of their people.
  • Data Management Maturity Assessment – understand how effectively their organisation manages data.
  • Attract attention, open doors and demonstrate your expertise before asking for their business.

Why it works: Remove the cost barrier and give companies a compelling reason to engage with you.

Measure and Improve Your Country's Data Capabilities

Give companies across your country free access to assessments.

Make it easy for companies to understand their data capabilities and development needs through free assessments.

  • Remove budget and purchasing barriers.
  • Encourage participation across industries.
  • Give companies insights into their capabilities.
  • Build a nationwide assessment initiative.

Why free access matters: The easier it is to participate, the more companies you can reach and the more representative your national picture becomes.

Assess → Gain Insights → Develop → Measure Progress

Contact

Talk to us about a consulting or country licence

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