Warm up
Quick logic warm up before diving into the data recap.
Data Summary and games
CPD tracking
Fixed hours for this level: 4. Timed assessment time is included once on pass.
View in My CPDCPD and certification alignment (guidance, not endorsed)
This summary is designed as recall practice and decision drills. That supports CPD evidence and reinforces skills relevant to DAMA DMBOK style thinking and applied data certifications.
What you now understand about data
You have moved from defining data to designing and governing it. Foundations gave you language and habits. Intermediate taught you to design systems and guardrails. Advanced pushed you to reason mathematically, architecturally, and strategically. The real shift is mindset: data work is judgement, context, and humility, not just numbers or tools.
When you see a number, do this in order: (1) ask what it means and what unit it has, (2) ask what could make it wrong, (3) decide what evidence would change your mind.
Quick reflection: data mindset
Scenario: A dashboard shows a number that looks important. What is your first move now
Scenario: Two teams report different revenue numbers. What is your next move before blaming anyone
What changed from Foundations to Advanced
Synthesis challenges
These challenges blend architecture, governance, analytics, and ethics. Treat them as small labs to see how your decisions ripple.
Gold standard loop. Meaning, uncertainty, action
Scenario: A metric spikes overnight. What is the first question you ask
Scenario: The spike might be real or might be a pipeline issue. What do you check next
Scenario: You still think it is real. What do you do before sending a confident message
Games that test your intuition
Lightweight games that surface common mistakes. Play them fast, then replay to see if your instincts change.
More practice games
Explore all practice games including cybersecurity, digitalisation, data, software architecture, and cross-topic drills.
View All Practice Games →
How this connects to everything else you learn here
Data fuels AI models and shapes their limits. Data failures lead to cybersecurity incidents and trust loss. Data design and contracts make software architecture coherent. Digital transformation only works when data is collected, shared, and trusted across journeys.
- AI Summary and games
- Cybersecurity Summary and games
- Software Architecture Summary and games
- Digitalisation Summary and games
Quick check. Cross course links
Scenario: An AI system behaves strangely in production. What is one data-first question you ask
Scenario: A report leaks customer data. What is the data-to-cyber connection
Scenario: Two services disagree on what “customer” means. Why does architecture care
What to do next
Replay the tools and games with your own scenarios. Combine lessons across courses: secure data flows, model choices, and architectural patterns. Log your CPD time and reflections. The more you practice, the more these habits become part of how you work.
- One-page data contract: pick a dataset and define meaning, units, allowed ranges, and versioning rules.
- Pipeline sketch: draw the flow, name owners, and write one failure mode per hop.
- Dashboard critique: pick one chart you do not fully trust and explain what is missing and how you would fix it.
- ADR-style trade-off note: record one decision you would make differently now, and why.
Quick plan: next steps
Scenario: You have one hour this week. What is a high value use of it
How will you track CPD
Scenario: How will you combine courses in one exercise