How much do you trust
your own data?
Most organisations believe their data is reasonably accurate. Most are wrong. Data quality problems accumulate silently — through manual entry errors, system integration gaps, and inconsistent definitions — until they surface in a decision that goes badly wrong.
What the Audit Covers
A systematic assessment of
your data's trustworthiness.
We assess the accuracy, completeness, consistency, and timeliness of your organisation's data across all relevant systems. We identify where information breaks down, who owns it, and how to establish a trustworthy source of truth for leadership decision-making.
We catalogue all data sources in your organisation — databases, spreadsheets, ERP systems, third-party platforms — and map the flow of information between them.
We sample and test data across your systems to quantify error rates, missing values, duplicate records, and inconsistencies that affect reporting and decision quality.
We identify who owns each dataset, who modifies it, and whether appropriate governance structures are in place to maintain quality over time.
We recommend a data architecture that establishes a single authoritative source for each key data entity — eliminating the confusion of multiple conflicting versions of the same number.
We deliver a prioritised action plan for resolving identified data quality issues — categorised by impact, effort, and urgency.
data is actually telling you.
Book a free consultation to discuss a data quality audit for your organisation.