System reports and databases are only as good as the data entered. PwC’s data quality assessment and analysis equips a business with insights to prioritize applications for remediation. We review the system data against five attributes such as equivalence, accuracy, consistency, completeness and integrity. Our data quality report identifies exceptions with insufficient or inaccurate details by users, categories, rules and sub-rules.
Get an overview of exceptions by Data Quality category linked to table fields across different business processes.
Pick out exceptions by sub-rule to examine inconsistencies in data.
Zoom into data profiling details and identify unusual characteristics within individual tables
PwC assessed the quality of sales and customer data of a manufacturing and distribution company. Our assessment showed that 22% of their sales data amounting to PHP2.26bn had missing crucial data like customer number, sales order number and collection terms.
PwC performed data quality assessment over the loan collections data of a bank. Through analytics, we were able to identify inconsistencies in borrower information and amounts between source documents and system reports amounting to PHP3.4M.