VCE Data Analytics U4O2 Word Scramble: Data integrity and its consequences and Evaluating security with CIA and security controls (Modules 26–43)
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Word scramble
Unscramble the letters and write each key term on the line.
1
TADA NTGIYTERI
How trustworthy data is. Test it against six characteristics, one at a time: accuracy, authenticity, correctness, reasonableness, relevance and timeliness. Failing any one means it can't be trusted.
2
SLOS FO OAEPTURNTI
When an organisation's data is wrong or tampered with, customers and partners lose trust in it, often after public errors and media coverage, and take their business elsewhere.
3
OPOR ICIAEGDO-INNMKS
Decisions made from inaccurate or untimely data are likely to be wrong, causing wrong forecasts, misleading analysis and false conclusions.
4
LAFICNIAN SSOL
Money lost when corrupted or incorrect data causes errors, rework, refunds and lost sales, such as wrong payments and the cost of fixing the data.
5
CTMPADEI TANOOPIESR
Poor data integrity disrupts daily business, causing delayed orders, systems taken offline to fix data errors, and staff time wasted checking and correcting records.
6
NYRTITGEI ICOTINERR
Judging a security strategy by whether it stops unauthorised people changing or corrupting data, using tamper detection, hashes and checksums, and limits on who can edit.
7
VTEUEALA SIATANG ICA
Judge how well a security strategy protects confidentiality, integrity and availability, using evidence to rate each one and weigh up trade-offs between them.
8
INUAELTVOA IAETRICR
Measurable standards, such as incidents per year or recovery time, used to judge how well a security strategy meets its goals and protects confidentiality, integrity and availability.
Answer Key
VCE Data Analytics U4O2 · Modules 26–43
1TADA NTGIYTERI → data integrity — How trustworthy data is. Test it against six characteristics, one at a time: accuracy, authenticity, correctness, reasonableness, relevance and timeliness. Failing any one means it can't be trusted.
2SLOS FO OAEPTURNTI → loss of reputation — When an organisation's data is wrong or tampered with, customers and partners lose trust in it, often after public errors and media coverage, and take their business elsewhere.
3OPOR ICIAEGDO-INNMKS → Poor decision-making — Decisions made from inaccurate or untimely data are likely to be wrong, causing wrong forecasts, misleading analysis and false conclusions.
4LAFICNIAN SSOL → financial loss — Money lost when corrupted or incorrect data causes errors, rework, refunds and lost sales, such as wrong payments and the cost of fixing the data.
5CTMPADEI TANOOPIESR → impacted operations — Poor data integrity disrupts daily business, causing delayed orders, systems taken offline to fix data errors, and staff time wasted checking and correcting records.
6NYRTITGEI ICOTINERR → integrity criterion — Judging a security strategy by whether it stops unauthorised people changing or corrupting data, using tamper detection, hashes and checksums, and limits on who can edit.
7VTEUEALA SIATANG ICA → Evaluate against CIA — Judge how well a security strategy protects confidentiality, integrity and availability, using evidence to rate each one and weigh up trade-offs between them.
8INUAELTVOA IAETRICR → evaluation criteria — Measurable standards, such as incidents per year or recovery time, used to judge how well a security strategy meets its goals and protects confidentiality, integrity and availability.