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Process and control verification
The evolving risk landscape and the increase in big data are impacting your controls environment. Due to the volume of transactions day-to-day, gaps and risks are become increasingly more difficult to detect.
With data & analytics, organizations can reduce the cost, improve the quality and enhance the efficiency of monitoring their processes end-to-end. The ability to increase the scope up to 100% of transactions allows for increased assurance in making sure that controls are designed, implemented and working effectively.
How we can help
Does your organization:
- Desire to leverage a sustainable long-term controls testing or controls monitoring program
- Desire for its controls monitoring to go beyond baseline to “enable performance”
- Lack sophisticated analytics and reporting or enabling technology
- Have sub-optimal internal control audits
- Have consistent approaches to testing, decentralized or siloed compliance programs
- Want to reduce the cost of compliance
Sample tests and insights
- Purchases
- Order to cash
- Payroll
- Vendor accreditation
- Receivables
- Accounting
Purchases
- Override in purchase limits
- Duplicate invoices
- Payments to vendors not in vendor master
- Unauthorized purchases and payments
- Unnecessary business expense
Order to cash
- High customer credit notes
- Invoice VAT analysis
- Customer payment turnaround analysis
- Segregation of duties issues
Payroll
- Paid overtime without proper approvals
- Ghost employees
- Payments more than x days after termination
Vendor accreditation
- Unnecessary business expense
- Vendors with missing information
Receivables
- Unusual invoice values
- Customers on exclusion list
- Customer prioritization
- Invoices to not accredited customers
- Duplicate invoices/receipts
Accounting
- Backdated items
- Duplicates and reversals
- Manual journal entries
- Unusual journal entries
Why are we qualified to help
Through data and analytics, the impact or misstatement brought about by the error in the configuration of rates and price group tagging of the products of a financial technology company was quantified. The Php13,685 misstatement noted was below materiality level however, the impact could be significant had the configuration error not been noted early into the year.
Applying analytics over the revenue transactions of a telecommunications company uncovered that PhP14.8M worth of transactions within the past 10 years have been incorrectly recorded in the present year. Moreover, PwC discovered that the organization failed to consistently bill their customers on their billing schedules, resulting to a loss of Php14.9M.
Research and insights
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