In an increasingly volatile world where high levels of uncertainty are the norm, how can companies make well-founded decisions? What is the best way to use available data to effectively increase productivity and cost efficiency rather than making isolated decisions? How can they achieve the ability to respond quickly to changing conditions while aligning their actions with their overarching strategic goals?
These questions arise in the manufacturing industry, particularly against the backdrop of the current volatile business environment. External factors, such as geopolitical tensions, rapidly changing customer demand and fluctuating customs regulations, alongside internal developments, such as technological advancements and resource constraints, present management with complex challenges. This calls for a dynamic and integrated approach to decision making, particularly in operations ranging from research and development to production and logistics.
With the consortium benchmarking "Driving Productivity & Cost Efficiency", we explore how companies achieve operational – impacting financial – excellence under dynamic conditions. Together with partners from different industries, we identify how decisions translate into financial outcomes, which KPIs matter, what ambition levels top performers set, and which concrete measures help to reach those goals. The focus is on developing the ability to make data-driven decisions through transparent integration of operational and financial data, effective control mechanisms, and cross-functional collaboration. This allows managers to make direct and indirect improvements to productivity and cost efficiency that can be measured on the P&L.
Join the consortium now to benchmark your company against similar ones and discover potential areas for optimizing your operations and cost structure. Learn about advanced operational systems and best practices from companies that have already achieved high levels of operational and financial excellence and gain further inspiration from successful approaches.