Transparent Financial Figures and Better Forecast Accuracy
Medical technology organisation 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 optimise finance processes and improve the reliability of forecasts.
Our approach
What we delivered
Introduction of real-time ERP dashboards
Formulation of a new SIOP-based planning process
Market analysis for xP&A tools including an implementation roadmap
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 organisation has transparent financial figures and a SIOP-based planning process as the basis for more reliable, data-driven forecasts.
Related expertise
ERP Integration →
The case study introduces real-time ERP dashboards and integrates them into existing finance processes, the core area of this expertise page.
Reporting & Dashboards →
The central result of the case study is auditable, up-to-date transparency over financial figures through new dashboards, exactly this page's topic.
Lieferkettenmanagement →
The new SIOP planning process closely ties sales, inventory management and operational planning to the financial targets, a classic supply-chain-management topic.
Technology Excellence →
The market analysis and evaluation of suitable xP&A tools including an implementation roadmap corresponds to the structured technology selection and rollout this page describes.
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