Fraud Detection

Fraud detection is a procedure that involves all actions performed to stop scams and fraud. These methods incorporate the use of predictive analytics to produce a fraud risk score. Additionally, it enables ongoing criminal and transaction monitoring in real time.


Fraud Detection

  • Fraud incidents with time
  • In which areas, incidents of frauds are high
  • Which sector records high number of fraudulent incidents
  • Number of transaction received approved status
  • Factors for approval of transaction
  • Number of Non-fraudulent transactions were successful
  • Fraction of frauds detected out of total frauds
  • Regions of improvement
  • Number of False negatives out of total transaction
  • Decline requests with time
  • Quality and transparency of transaction process
  • Factors that leads to Declining a transaction
  • How relevant the results are
  • Number of frauds predicted that were actually fraud
  • How good is model performing

Banking

  • Track impact on profitability.
  • Opportunity for repeat orders for a steady cash flow
  • Identify big ticket value opportunities
  • Stimulate frequent orders
  • Correlate service and quality based on customer association time
  • Total number of Accounts by Year
  • Increase the customer base by offering best services
  • Increase the banking revenue by adding in more accounts
  • Net Profit by Year
  • Improve profitability by finding ways to increase the net profit
  • Identify reasons for a decline in net profit for the specific time period
  • See how efficiently the assets are used over a period of time
  • Prevent cash flow issues by tracking the accounts turnover
  • Improve the operations and management
  • Working Capital over a period of time
  • Determine the liquidity and sufficiency of current assets and liabilities
  • Predict the financial difficulties that may arise

Finance

  • Total sales by time period
  • Sales by product or service
  • Sales by lead source
  • Revenue per sale
  • New vs. returning customer sales
  • Track impact on profitability.
  • Opportunity for repeat orders for a steady cash flow
  • Identify big ticket value opportunities
  • Stimulate frequent orders
  • Correlate service and quality based on customer association time
  • Top regions for customer churn by satisfaction index
  • Period trends of churn
  • Track low performing sites / services
  • Correlate time of service to customer plans
  • Verify your lead scoring or qualification process
  • Approach customers through preferred channels
  • Make sure the right people are involved throughout
  • Equip executives with the right content at the right time
  • Foster learning opportunities for your sales reps to improve the sales process and win more future deals
  • Uncover aspects of your brand that potential customers appreciate and ones they don’t
  • Fine-tune messaging, adjust campaigns, and create stronger content to highlight company strengths

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