Technology and Data Analytics
Digital strategy, information systems, data governance, analytics, cyber risk and technology-enabled change.
How to study ACCA Strategic Professional
Build professional judgement around case evidence, complete EPSM early, practise ACCA's live CBE tools and focus your final Options work on the two exams you will actually enter.
Core concepts
Concept 1
Technology choices should serve strategic objectives, process needs and user value rather than novelty.
Exam cue: Define the business decision before selecting data or technology.
Concept 2
Reliable analytics depends on governed data, appropriate methods, secure architecture and critical interpretation.
Exam cue: Test data provenance, completeness, accuracy, timeliness and bias.
Concept 3
Cybersecurity and privacy require preventive, detective, responsive and recovery capabilities.
Exam cue: Balance benefit, implementation dependency, ethical risk and control.
Risk pitfalls and guardrails
Assuming automation removes judgement or accountability.
Guardrail: Do not reproduce a model, calculation, tax rule, reporting treatment or audit phrase without checking version, date, evidence, professional skill and decision context.
Using a dashboard metric without checking its definition or source.
Guardrail: Do not reproduce a model, calculation, tax rule, reporting treatment or audit phrase without checking version, date, evidence, professional skill and decision context.
Treating cybersecurity solely as an information-technology department issue.
Guardrail: Do not reproduce a model, calculation, tax rule, reporting treatment or audit phrase without checking version, date, evidence, professional skill and decision context.
Memory anchors
Digital fit
Link technology to strategy, process, people, data and value.
Data quality
Check relevance, completeness, accuracy, consistency and timeliness.
Analytics ladder
Move from descriptive to diagnostic, predictive and prescriptive insight.
Cyber resilience
Prevent, detect, respond, recover and learn.
Human oversight
Automated output still requires accountable review and challenge.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
A predictive model rejects more applicants from one postcode, which closely proxies ethnicity. What should management do?
Which data-governance control most directly supports lineage?
Answer all questions to submit.
Next step personalized recommendations
Continue learning
Move forward only after this module is stable.
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