ACCA Strategic Professional · Advanced Performance Management · Technology and information systems
Nordvik Retail's finance team builds its monthly performance dashboard from sales data held in three separate systems. Managers notice that the same customer appears under slightly different names, causing revenue per customer to be understated. Which data quality dimension is primarily failing?
The failing dimension is consistency and uniqueness. The same customer is recorded under varying names across systems, creating duplicate records that split revenue and understate revenue per customer. Timeliness, relevance and accessibility are not the cause of this problem.
- ATimeliness
- BConsistency and uniquenessCorrect
- CRelevance
- DAccessibility
Explanation
The same customer recorded under different names across systems is duplication and inconsistent formatting. This undermines consistency and uniqueness, so revenue per customer is split across several records. Timeliness concerns how up to date data is, which is not the problem described.
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