Data Quality & Integrity
Our Data Quality & Integrity services offer efficient ways of monitoring, controlling and improving data quality and information integrity. We employ sophisticated data mining, statistical analysis tools and techniques, and transaction monitoring solutions to analyse data to enhance external audit, internal audit and consulting projects.
We perform automated substantive and control testing services for both internal and external audit clients. Examples of data analytics include: recalculation of revenue, accounts receivable balances or depreciation; electronic subsequent disbursement testing; and fraud and outlier analyses, detailed analysis of accounts payable data and procurement card analytics; as well as continuous auditing solutions.
From a consulting perspective, our comprehensive Data Quality services help organisations evaluate, improve and sustain enterprise data quality through diagnostics and profiling, data quality transformation and cleansing. We use a unique, risk-based methodology to assess and improve data quality before, during and following process engineering, software implementation and data conversion projects.
In addition, we help design, implement and monitor metrics and transaction monitoring solutions to mitigate business risks on an ongoing basis.
Please do not hesitate to contact a member of our ERS team with any queries you might have.