Digital, Data & AI / A knowledge map
Digital, Data & AI knowledge map
Examine data quality, digital processes and responsible use of emerging tools.
Choose your own starting point.
Where would you like to explore?
Follow the suggested sequence or open any stage. Your learning position is not recorded or saved.
What makes the data and logic suitable?
Separate what is stated from what is supported. Identify the criteria, information sources and limits of the conclusion.
Explore the connected reading.
Digital, Data & AI / InsightNotable Items Are Not Automatically FindingsDigital, Data & AI / InsightAudit Analytics: Pattern Recognition vs. Causal ExplanationDigital, Data & AI / InsightAudit Sampling vs. Full-Population AnalyticsWhat makes the data and logic suitable?
Use your own hypothetical example. Consider one assumption and one limitation.
Explore the reflection guide
A sound evaluation links the claim to suitable evidence and explains what remains uncertain.
See another perspective.
Move between disciplines to understand the same business from another angle.
Understand recognition, measurement and the judgments behind financial information.
Explore this pillar FinanceConnect reported performance to cash, working capital and value creation.
Explore this pillar Internal AuditFollow risk, examine evidence and turn independent assurance into useful insight.
Explore this pillar Risk & ControlsUnderstand uncertainty, control design and how responses work in practice.
Explore this pillar GovernanceExplore ownership, oversight and accountability behind business decisions.
Explore this pillar Business ImprovementMove from symptoms to causes, practical change and measurable outcomes.
Explore this pillarWork through the question.
An Excel Lab for this pillar is in development. Explore the available readings and cases in Apply.
Explore Apply Browse published working resources