Data Analytics

Data analytics can help safeguard your bottom line, identify key risks facing the enterprise and improve business processes.

Data analytics is both a proactive and reactive component in the management of enterprise risk. Proactively, data analytics is used to identify key enterprise risks and provide management with the data to effectively manage these risks on an ongoing basis. Reactively, data analytics is used to quantify and isolate incidents of fraud, corruption and financial leakage to enable an appropriate incident response and provide data to enable effective ongoing risk management.

Our Specific Area of Expertise

• Fraud risk detection – detect and quantify suspicious activity, fraud and corruption.
• Revenue leakage – granular analysis of revenue streams to identify additional revenue opportunities and assess the efficiency of key billing and collection processes.
• Cost savings and process improvement – identify potential synergies and assess process inefficiencies in key functions such Accounts Payable and Payroll.
• M&A – post transaction data analytics provides organizations with enhanced confidence in the underlying assets and liabilities.
• Data migrations – independently assess and detect data inconsistencies and errors across systems to increase business confidence and customer satisfaction.