Companies are faced with poor comparison of data to enable fraud risk decision making or early detection of misconduct. There is also a lack of understanding on how much fraud costs the business. Poor voice of the customer provides with limited insight into what consumers want leaving them with rigid and unresponsive business models. There are also poor insights about the performance of digital estate and areas of risk.

Data analytics enables all our digital offerings that help clients use big data to discover opportunity or manage risk within their organisations • This can be applied to predictive and prescriptive analytic challenges across multiple sectors. This comes at a pivotal time when clients are asking themselves how best to improve and protect the performance of their businesses.

We provide valuable insight to help answer critical questions at a board level like competitive intelligence, product performance, customer insight, channel performance.We help develop capability in-house or offer analytics as a managed service.We co-create new business models leveraging big data and analytics. We also provide protection against fraud by leveraging forensic data analytics.


  • G/L Analytics
  • Profitability Analysis
  • A/R Credit
  • SGA Expense Analysis
  • Spend Analysis
  • A/P Analysis


  • Churn Propensity
  • Customer Satisfaction
  • Resolution Rates
  • Service Representative Effectiveness
  • Service Cost Analysis
  • Service Trends


  • Campaign Scorecard
  • Product Sales Detail
  • Sales Force Effectiveness
  • Pipeline Analysis
  • Sales Conversion
  • Market Analysis

Supply Chain

  • Vendor Scorecard
  • Spend Analysis
  • Inventory Management
  • BOM Analysis
  • Fulfilment Statistics


  • Campaign Scorecard
  • Attrition Analysis
  • Market Analysis
  • Campaign ROI
  • Loyalty Analysis
  • Marketing Cost/Revenue

Order Management

  • Order Linearity
  • Orders versus Available Inventory
  • Cycle time analysis
  • Backlog Analysis
  • Fulfilment Status
  • Customer Receivables