Data-driven resilience for Swiss companies: fact-based, not generic

How to safeguard pricing, offering and service decisions despite uncertainty

Companies are being forced to make quick decisions dues to geopolitical tensions, regulatory changes, rising costs and volatile markets. Generic measures, such as linear price adjustments or broad-based cost-cutting, often fall short, jeopardising value creation, differentiation and customer acceptance.

A data-driven resilience strategy clearly shows where adjustments are possible, which offerings actually create value and how services or complementary offerings can offset fluctuations in the core business. This allows you to make decisions where they have a measurable impact.

Establishing robust decision-making foundations in 4 – 6 weeks

Proof of Value for resilience

Clear decision-making documentation with KPIs, scenarios and specific recommendations for senior management and the board of directors.

Willingness to pay and market scenarios

Validating pricing, tariff or offering strategies under changing conditions such as cost increases, regulation or demand fluctuations.

Offering and cost levers

Identification of services, modules or variants that offer high customer value but make a low economic contribution.

Service and additional potential

Stabilising revenue through data-driven growth opportunities in services, maintenance, support and supplementary services.

“Applying analytical thinking from other sectors opens up perspectives that often remain hidden within one’s own industry.”

Wilhelm Kleiminger Head of Data Science, Ergon Informatik AG

Your benefits with Ergon's data-driven resilience strategy

What makes a data-driven resilience strategy stand out?

Resilience as a strategic capability

A data-driven resilience strategy enables companies and organisations not only to withstand external shocks, but to actively manage them. It provides transparency on where risks arise, which levers are available and which measures actually have an impact.

Data as the basis for nuanced decisions

Rather than taking generic measures, a data-driven strategy uses internal and external data to inform nuanced decisions regarding pricing, offerings and services. Economic impacts are quantified and alternatives are systematically compared.

From an analytical project to operational management

It is not just the model that is important, but also its integration into decision-making processes. A data-driven resilience strategy combines analysis, validation and implementation, thereby becoming a sustainable component of corporate management.

We look forward to hearing from you

We are pleased that you are interested in our services. Do you have any questions or a specific project idea? Tell us about it – with no commitment on your part. Our experts will contact you as soon as possible.

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