CASE STUDIES








FINANCE AND INSURANCE

WHY 
Finance and Insurance
Branch Network Optimisation - Satisfying customer needs and preferences, maximising revenue and limiting costs by acting profitably on location data.

Challenge
To make sense of the confusing array of information related to branch networks.

Solution
Proactive evaluation by conducting multiple 'what-if' scenarios in different markets and using a co-ordinated combination of predictive and display analytics.

Summary
How can you provide an optimal combination of branch and ATM locations to satisfy your customers' needs and preferences, maximise revenue and efficiently manage costs? By possessing the capability to identify, evaluate and act on potential profitable locations within any market - and quickly!

Challenge
To make sense of the confusing array of information related to branch networks and taking into account varied organisational objectives.

Solution
Our models and detailed reports let you analyse the branch network, providing insight into what is most important in driving revenue. By taking this approach, the most efficient branch locations can be identified, maximising revenue and minimising operational costs. It is also easier to scientifically determine which specific branch locations to retain, relocate or close.
Knowing where allows for a proactive approach in evaluating the potential success of expansion opportunities by conducting multiple 'what-if' scenarios in different markets. This analytical tool reveals which locations offer the greatest sales potential and quantifies the optimal number, placement and priority of proposed branch locations within any market.
Predictive Analytics
Knowing where drives analytics than can predict behaviour. This scientific analysis can forecast sales, a branch or branch network's potential success and the result of the likely impact that changes to networks will have on existing branches.
Display Analytics
Our easy-to-use custom mapping and reporting software applications give you the ability to visually display existing customer account relationships by branch. Relationships can be determined between locations, customers and branch performance by -
  • Defining multiple trade areas by radius, drive time or custom methodology
  • Analysing consumer and business penetration
  • Identifying high-opportunity markets
  • Analysing the distribution of customer transactions and sales by branch.