1. 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

2. 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