Capgemini’s Risk Analysis and Management services provide a quantitative approach to enable clients to make informed decisions and develop effective strategies.

This section includes:

• Benefits of Risk Analysis and Management
• Capgemini’s approach
• Capgemini capability
• Success stories

The benefits of Risk Analysis and Management

• Enables organisations to identify and understand the key areas that drive risk within their business
• Ensures a clear understanding of whether the level of risk in a project is too great for the return on investment
• Understanding the sensitivity of business decisions to alternative market and operational assumptions
• Determine the balance between saving costs and the likelihood of missing regulatory requirements or service level targets
• Developing robust strategies to cope with a changing market environment
• Enables organisations to make more informed decisions

Capgemini’s approach

Capgemini’s collaborative approach helps clients make better informed decisions by applying modelling, quantitative analysis, objectivity and rigour minimise risk and uncertainty. Central to our approach is the ability to abstract a model of the real world problem that is reasonably easy to use but which is sufficiently realistic to support robust decision making. These models are used to provide insight, and quantify the risks and benefits associated with solutions to complex business problems.

Capgemini capability

Capgemini uses its business analysis and modelling capabilities to assist clients across four categories of risk:

Business Continuity Risk

Will your business operations continue to function effectively in extreme situations such as a disaster or IT failure? Using simulation modelling techniques we can evaluate the impact of unexpected events on your business and develop robust processes for minimising their impact and the ability to maintain satisfactory customer/ performance service levels.

Investment Risk

Should you invest in a project or is the level of risk too great for the Return? Using sensitivity analysis and monte carlo simulation, we work with clients to understand the factors that drive uncertainty and may put successful outcomes at risk.

Controllable Risk

Are you making informed robust decisions based on reliable evidence? Using data modelling and analysis techniques we are able to understand to optimise the balance between business performance, risk and cost.

External Risk

How will your organisation be affected by changes in the external environment or market conditions? Using simulation and game theory techniques we evaluate the impact of changes in order to develop effective strategies and plans. We can help you assess where your organisation is in terms of its ability to analyse and manage risk.

Our team of Operational Research (O.R.) professionals are dedicated to helping clients make better informed decisions by applying modelling, quantitative analysis, objectivity and rigour to inform strategic decision-making by understanding and quantifying risk exposure and developing effective strategies for minimising the impact on the business.

Success Stories

UK Government Department

The client had an IT system rollout programme that was under great scrutiny, because it was failing to meet its implementation targets, and thus failing to support legislative requirements. A joint client / Capgemini implementation team identified several proposals for interventions to accelerate the delivery. However, they were uncertain about which intervention to implement, as the level of impact of the proposed interventions had not been quantified. A Capgemini Operational Research consultant worked closely with the client’s programme team to specify and design an appropriate simulation model, based on the limited data available. Each intervention option for the roll-out of the IT system was characterised. In the simulation model,the numerous implementation sites were aggregated to provide a comprehensive view of the lifecycle of the rollout programme. The model allowed the implementation progress to be segmented and reported geographically at each stage of the programme. A reporting facility allowed live sites to be differentiated from those in progress and those awaiting implementation.