Watch the on-demand webinar
The commodity market faces increased volatility and regulatory scrutiny. Now more than ever, companies need to develop a more structured, holistic approach to improving the predictability of bottom-line impacts while managing risk and liquidity.
We’ll show you how this can be done. The key is to develop scenarios for the impact of various commodity price fluctuations on company performance, which will allow you to rapidly assess the impact of different purchase strategies and trigger corrective actions.
Join Anaplan and Accenture to learn how enhanced insight into the effects of commodity sensitivity can revolutionize your business decision-making processes. In this webinar, you will learn:
- How to merge financial, supply chain, and external market data into a single, real-time forecasting model
- How a leading consumer packaged goods company has been able to quantify its improvement in performance and mitigate risks
- How to harness the power of predictive analytics for your business
Register today to discover how your business can stay ahead of ever-fluctuating market prices without expending undue time and effort.
About the speakers
Marco Limito is a Senior Manager with Accenture’s Finance and Performance Analytics Practice and currently serves as the Global Lead for Anaplan’s enterprise performance management (EPM) cloud offerings. He has strong experience in the EPM area, having led large international finance transformation programs that leveraged most of the leading technologies in this space. Marco holds a degree in business administration with a specialization in corporate finance from Bocconi University, Milan.
Michael Judd is Senior Director, Strategic Business Transformation at Anaplan, where he works with customers on their vision, strategy, and execution for digitizing business planning. Michael qualified as a CPA in Adelaide, Australia, before moving to London, in 1998, where he has held commercially focused finance leadership roles in Imperial Brands, Kimberly-Clark, and DHL.
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