Chris Bradley
DAMA Fellow · hands-on data management training
- Data Management Fundamentals3 days
- Data Governance2 days
- Practical steps for developing Data Strategy and Governance2–3 days
Build better data teams. Make AI work.
Find the right people, improve your organisation and help build the future benchmark for data and AI.
Built on decades of expertise and Chris Bradley's consulting and training methods.
Know where you stand today
Understand whether your people are capable
See if your data is fit for purpose
Build with confidence for the age of AI
DataCapabilities · Live preview
Team skills heatmap
Real assessment skills · levels 1–5 · 43 skills in the full platform
Member
Data Arch.
Modeling
MDM
DQ Tools
Analytics
BI
Stakeholders
Change
A. ChenData Analyst
3
3
2
4
5
5
3
2
S. RiveraData Steward
2
3
5
5
3
3
4
3
J. LeeData Architect
5
5
4
3
3
3
3
2
P. NairData Owner
2
2
4
3
2
3
5
4
M. BlakeData Modeller
4
5
3
3
3
2
2
2
Level1234543 skills in full assessment
The system
Three improvement loops
Teams, organisations, and the industry benchmark — connected so every assessment creates value twice.
Chris Bradley
Independent Information Strategist · DAMA Fellow
Built on decades of expertise
Built on decades of real-world expertise
After decades of consulting and training, Chris Bradley's experience and methods help power DataCapabilities — drawing on established data-management principles, including DAMA-DMBOK.
Why organisations trust Chris Bradley →
Thousands
of professionals trained
Decades
of experience
Proven
methods
Global
community
Industry expertise
Trusted across industries that depend on data
Pharmaceuticals · Insurance · Banking · Energy · Oil & Gas — Chris has advised major organisations worldwide.
Energy & Petroleum
ExxonMobil, Saudi Aramco, Shell, Statoil, TOTAL
Financial Services
HSBC, Bank of England, American Express, Emirates NBD, ANZ
Life Sciences & Pharma
GSK, Celgene, Cigna Insurance
Utilities & Other
British Gas, National Grid
The Data Value Blueprint
One complete enterprise system
Assess where you are. Align people and roles. Improve with evidence — then prove it. Draws on established data-management principles, including DAMA-DMBOK, together with Chris Bradley's consulting and training experience.
Assess your organisation’s data capability across 11 data management disciplines.
Build & improve your data teams by matching skills, roles, and people to real capability.
Identify who is a fit for 7 critical data management roles.
Decide where to train, improve, and invest.
Contribute to the industry's next benchmark for data and AI capabilities.
Measure and prove improvement through reassessments.
Assess your current level. Then measure your improvement.
Trainings
Learn with Chris or Mike
Pick a course. Request it. We handle the rest.
Mike Ferguson
Data, analytics and AI strategy training
- AI-Assisted Data & AI Governance2 days
- Enterprise Data Governance & Master Data Management2 days
- Data & AI Strategy1 day
Prefer a company programme? — we will tailor it.
People
Find the right people.
Teams
Build stronger teams.
Organisation
Improve your organisation.
Benchmark
Help build the future benchmark.
Frequently asked questions
Everything you need to know about DataCapabilities, the Data Value Blueprint and how organisations build stronger data and AI capabilities.
DataCapabilities helps organisations answer three simple questions:
- Do we have the right people?
- Where should we improve?
- How do we measure progress?
The platform helps organisations build stronger teams, improve data capabilities and prepare for AI.
NewNew challenge: Is your organisation ready for humans and AI to work together?
Data roles in the age of AI
NewAI is changing how organisations work, but successful AI still depends on skilled people, trusted data and clear ownership.
AI is changing how people work, but it is not replacing the need for clear ownership, governance and trusted data.
The seven key roles remain essential, but their responsibilities are evolving.
Traditional→ AI-era
Data Owner
Business ownership→Ownership of data-driven and AI-driven outcomes
Data Steward
Managing data quality→Validating data and AI-generated outputs
Data Analyst
Reporting and dashboards→Collaborating with AI assistants and interpreting results
Data Architect
Designing data platforms→Building AI-ready data foundations
Enterprise Architect
Technology alignment→Integrating AI into enterprise strategy
Data Modeller
Data structures→Semantic models and AI knowledge structures
Business Systems Owner
Managing systems→Orchestrating human-AI collaboration
AI changes how work is done. It does not remove the need for skilled people.
No.
Agent AI will automate many tasks, but organisations will still need people to:
- define goals and priorities;
- ensure data quality;
- govern data and AI usage;
- make business decisions;
- manage risk and compliance;
- collaborate across teams.
Agent AI changes how work is done—it does not remove the need for human expertise.
The future belongs to organisations where people and AI work together effectively.
Data professionals will increasingly need:
- AI literacy;
- critical thinking;
- business understanding;
- data governance;
- human-AI collaboration;
- data quality management;
- risk and compliance awareness.
The most successful organisations will combine human expertise with AI capabilities.
AI does not replace data-management roles. AI increases the importance of having the right people, the right skills and trusted data.
Log In to the Platform
Guest demo, customer account, invitation, team results, training, alumni, or DAMA chapter — pick the path that matches how you access the platform.
Guest access and buying customer
Guest access
Enter as guest
Demo the workspace with mock company data. Enter the name and 6-digit demo code you were given.
Buying customer
Log in with email and password
Paying customers and main users — sign in with the email and password from sales setup.
Invited colleagues and team results
Invited person
Log in using your assessment invitation
Invited by a supervisor (free or paying) — use your invitation code to create your account and log in.
Team results
View team results
Enter the 6-character team invite code you saved — not the quarterly alumni code or training door code. Valid for 2 weeks.
If you are in a current Chris or Winfried training
Training Program Access
Complimentary capability assessment for current participants in Chris Bradley's or Winfried's data management trainings.
Your trainer’s code is valid for 2 weeks during the course.
- Measure your Data, Technology & Business capabilities and see how you fit the 7 key data management roles.
- See the results together — who best fits the 7 key roles, and who can mentor whom
- With your trainer in class — contribute to the industry’s next benchmark for data and AI capabilities
Estimated completion time: 20–30 minutes.
Includes anonymous contribution to the industry benchmark (you can opt out).
Enter your group code
Name you use in class + code from Chris or Winfried.
Trainers: log in with trainer access first, then create the group code in the platform.
If you trained with Chris or Winfried previously
Quarterly Alumni Access
Complimentary skills, team board, and a company-wide sample.
A
This quarter’s code — from LinkedIn
B
Ask for full access — 1 person or a team, saved anonymously to the benchmark
Enter your code
No code yet? Follow Chris on LinkedIn — a new alumni code is posted 4× per year.
DAMA country chapter
DAMA country chapter
Assess and develop your members’ Data Management skills — together.
For members: Measure your Data Management maturity at company level and Data & Technology skills for data teams. See your results, identify gaps and know where to develop.
For the chapter: See what your members need, through aggregated and anonymous results, and use the insight to create targeted training and workshops.
All responses contribute anonymously to the industry benchmark. Repeat the assessment 4× a year to track progress.
Enter your chapter or assessment code
Use the code provided by your own DAMA chapter.
The people
Meet the team behind DataCapabilities
Chris and Petri combine decades of expertise in data management, business, technology and AI.
Better people. Better data. Better outcomes.
Chris Bradley
UK
Data management expert, consultant and trainer
Chris Bradley is a data-management expert, consultant and trainer with more than 40 years of experience helping organisations improve data governance, organisational capabilities and business outcomes.
- 40+ years of consulting and training experience
- Former Vice President of Professional Development at DAMA International
- DAMA CDMP Fellow
- Lead editor of DMBOK 2 Revised
- Decades of enterprise consulting and capability development
Focus: Data management, governance and capability development.
Petri Hakkarainen
Finland
Commercialisation, growth and AI
Petri bridges business, sales, data, technology, people and AI to help organisations create measurable outcomes through capable people and trusted data.
- Consulting and customer leadership
- Customer data, master data and DAMA principles
- Human-AI collaboration and LLM adoption
- Team and organisational competence development
- Turning data and AI into measurable outcomes
Focus: Bridging business, sales, data, people and AI into measurable outcomes.
Open to opportunities
I'm interested in consulting, customer-development and growth roles in data and AI, where I can combine my background in sales, customer data, capability development and AI.
Better people. Better data. Better outcomes.
Successful AI starts with capable people and trusted data.