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13th Annual Advancing S&OP to Integrated Business Planning – Amsterdam February 2017

13th Annual Advancing S&OP to Integrated Business Planning – Amsterdam February 2017

13th Annual Advancing S&OP to Integrated Business Planning – Amsterdam February 2017

Date: 8 – 10 February 2017

Location: Amsterdam | Radisson BLU

Register here

“Set your ambitions high and transform your organisation to achieve IBP that can actually drive profit and overall growth”

This three-day conference is a flagship event for professionals involved in the S&OP process. If in the past, we were focusing on more basic elements of the S&OP process, companies are now facing a key challenge in moving forward their S&OP to Integrated Business Planning seen as a transformational process throughout the organization. As such, we will explore how to embed S&OP in a matrix and multi-country environment, how to translate volume-based S&OP to value-based S&OP, and how to bring concrete profit and growth gains.

The ultimate aim is to design IBP as an enterprise-wide, transformational process. With that ideal in mind, we will look at the practical challenges companies are facing at the different stages they find themselves in the S&OP to IBP journey. We will discuss how to take IBP beyond the sales and operations phase into financial analysis and controlling, how to put the aggregated  numbers together, and move away from silos, as well as investigate the behavioural considerations behind realistic forecasting. This marcus evans event provides the best platform for benchmarking and moving forward your S&OP efforts, with interactive discussions and practical case studies from top companies in Europe.

The key topics of this year’s summit will be:

  • S&OP: A Volume Planning Exercise or Something More?;
  • Change Management: How to Handle it Well in your IBP Implementation Efforts;
  • How to Embed IBP in a Matrix and Multi-Country Environment;
  • Designing IBP as an Enterprise-Wide Transformational Process;
  • How to Use Big Data in the S&OP Process for More Accurate Forecasting Models.

 

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