This section includes:

• The benefits of Business Performance Optimisation
• Capgemini’s approach
• Capgemini capability
• Success stories

We help organisations adopt an analytical approach to understanding their current performance and identifying the opportunities for improvement. If a business can better measure and understand its current performance, it can identify alternative ways of operating and set in place reporting systems to provide evidence of the benefits achieved.

The benefits of Business Performance Optimisation

This service is focused on ensuring our clients improve the efficiency and effectiveness of their current business processes. We enable you to:

• Manage and plan your workforce more effectively within capacity constraints to optimise service delivery
• Improve how you forecast and plan to utilise the resources available to you, including your workforce
• Optimise any or all aspects of your business operations
• Implement innovative solutions with tangible deliverables
• Make better decisions under uncertainty
• Achieve quick wins and fast pay-back on investment
• Ensure quantitative rigour & auditable investment decisions
• Achieve an in-depth understanding and clarity of output.

Capgemini’s approach

We use our renowned collaborative approach to employ a number of tools, techniques and methodologies to understand each client’s current business processes and operations. The core of our approach is to develop models of real world problems that are easy to use, but sufficiently realistic to support robust decision making. These models help us to identify ways in which you can improve operational performance in complex business situations.

Our analytical approach to business performance improvement ensures that we provide the evidence to both identify and justify investment in the most effective and efficient changes to the way our clients do business, including modelling the impact of change on their business performance.

Capgemini’s Capability

We deploy a diverse set of analytical tools in a carefully structured way:

Structure

We agree an approach based on the objectives, the information sources and the organisational commitment to focusing on delivery of performance improvements. We also agree the structure of an analytical model and the measurements that will provide evidence of the benefits achieved.

Analyse

We help you to make better use of your data, allowing identification of opportunities for efficiency gains. We use the information your organisation holds to provide improved insight on performance and the barriers to improving performance. Our rigorous approach will help you to review data sets, work out what is key, and decide how it can be manipulated/analysed to add value.

Model

We use a range of analytical tools and techniques to model your business processes, to identify and evaluate options through sensitivity analysis, scenario planning and what if analysis and to estimate the expected costs and benefits of each option.

Implement

We can help you to implement the recommended options, and to realise and evidence the expected benefits. Our approach allows us to identify the most useful performance metrics and provide appropriate diagnostics for business performance.

Success Stories

Large government department

in advance of a high profile new service launch, the department worked with Capgemini to understand the impact on staffing levels and end-to-end process times in order to validate the expected business benefits. We developed a visual dynamic model to simulate the flow of contacts through the new process, size the normal and peak staff requirements and determine the range of end-to-end process times. The model enabled the impact of individual and combined process improvement initiatives to be tested and allowed the assessment of options for dealing with peak volumes.

Major UK retailer

Capgemini provided the retailer with a clear understanding of the implications of three possible changes to their store replenishment process: the impact on store stock levels of using larger ‘unit’ boxes; the effect of changing the replenishment system parameters; and the potential benefits of proposed enhancements to the replenishment system. We developed a simulation model to replicate the operation of the replenishment system, populated it with actual store data, and used it to determine availability and stock levels for a range of scenarios. This allowed changes to the actual system to be tested and implemented with confidence.