Data Analysis and Fraud Detection

Why would you need data analysis?

Data analysis helps you gain an overall view of your organisation’s financial systems, accounts and associated controls. Huge volumes of financial data are impossible to analyse without the aid of computers and specialised tools.

Strasan offers comprehensive expertise in data analysis and detection of fraud in financial data. We have expertise and skills in the following areas:

• Extracting data from different file formats
• Data validation and quality control
• Analysis of financial data, employee records, and purchasing systems for errors and fraud
• Analysis of important trends and relationships in financial records

How Strasan can help?

Data analysis can help identify unexpected or unexplained patterns in the data that might indicate fraud. Using our proven techniques, we could measure the authenticity of the financial data, and detect fraud or tempering of data. Combining with auditing commands, such as filtering records and joining data files, the frequency and significance of fraud could be traced and analysed in detail.

Analytical Tests

Analytical tests have the enhanced capability to assess whether account balances appear reasonable, and could provide detailed information on your company financials that may have previously passed unnoticed.

• Evaluate the relationship amongst diverse forms of data, both financial and non-financial
• Assess whether these relationships may affect your company financially

Trend Analysis

Trend analysis can monitor the company’s financials across time, and help you take full advantage of these on-going trends. This allows us to:

• Assess the impact of stock obsolescence
• Monitor seasonal patterns on the company’s assets
• Monitor the aging of account receivables and outgoing debts

Data Analysis Reports

The results of the analysis are presented in a tailored, customer focused report. The report delivers the following:

• Detail description of the results, including graphs, and tables to facilitate your understanding
• Assess the impact of the result and interpret what it means for the company
• Suggest areas of improvement that may be advantageous for the company