The finance team is responsible for obtaining and handling any monies on behalf of the organization. Financial analytics can help you understand your business’ past and present performance and influence future strategic business decisions.


  • 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

Financial Services

  • Measure the ability of your organization to meet short-term financial duties
  • Indicates your companies liquidity
  • Helps you understand the solvency of your business
  • Measures how much profit you make before expenses
  • Determine the reasons why the gross profit changes from period to period
  • See how effectively you are using resources to make and sell products or services
  • Net Burn by Time Period
  • Track the rate at which the company is losing money
  • Determine the reasons to minimize the net burn in order to increase profitability
  • Net Profit by Time Period
  • Measure how effective your business is at generating profit
  • Make long-term and short-term financial decisions
  • Revenue by Year
  • Track the year to year changes in revenue and identify the reasons
  • Improve business techniques to increase revenue

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

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