Predictive Solution’s Roadmap Benefits: 1. Improved Business Efficiencies 2. Improved Data Quality 1. New Leads (products / markets) 2. Improved Customer Experience 1. Balancing Supply & Demand 2. Market Innovation 3. Increased margins Business Insights Customer Insights Predictive Insights Data: Actual Inferred Predictive Phases: Existing Information Platform How/Solutions: Business Insights • Applied Statistics • Continuous Business Monitoring • Continuous Auditing • Data Integrity / Quality Customer Insights • Cross Selling • Correlations • Superimposing external data sets • Superimposing Big Data / Social Media • Machine Learning Customer Segmentation • Call Centre integration • Leads optimisation • Product association analysis Predictive Insights • Demand Forecasting • Revenue Projections • Price Elasticity Models • Predictive Risks / Errors

Our Approach We don’t believe in 100% black-box approach to generating customer insights and predictive models. Instead we believe in a mixed approach whereby we do a fair amount (say 70%) using statistics / algorithms. We then present the data back to business users in a self-service manner to apply their intuition on top of the machine learning and find new customer insights. Self Service Data Analytics is proving to provide better results than traditional methods – See Forbes Insights 2016: Analytical Enablement 2016