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Case studyMedTech

Transparent Financial Figures and Better Forecast Accuracy

Medical technology organization with low forecast accuracy

Non-transparent financial figures and low forecast accuracy impaired strategic decisions and operational efficiency.

The challenge

The situation

Non-transparent financial figures and low forecast accuracy impaired both strategic decision-making and operational efficiency. There was a clear need for a digital transformation to optimize finance processes and improve the reliability of forecasts.

Our approach

What we delivered

01

Introduction of real-time ERP dashboards that make the previously opaque financial metrics visible.

02

Formulation of a SIOP-based planning process that has sales, production and financial planning working from the same numbers.

03

Market analysis for xP&A tools including an implementation roadmap, so that the choice of tool follows the process decision rather than the other way round.

The outcome

Results & impact

Five workstreams delivered

ERP dashboards, SIOP planning process, xP&A market analysis and implementation roadmap.

Transparent financial figures

Basis for fact-based decisions created.

In summary

The organization has transparent financial figures and a SIOP-based planning process as the basis for more reliable, data-driven forecasts.

Related expertise

ERP Integration →

GMP process design and interfaces to LIMS, MES and eQMS

Reporting & Dashboards →

KPI definition with calculation logic and automated reporting

Supply Chain Management →

Demand planning and an S&OP process that keeps supply and demand in step

Technology Excellence →

Assessment of the IT landscape and structured technology selection with upfront regulatory screening

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Sources
  • Entourage project experience (anonymized)

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