{"id":8027,"date":"2019-10-09T10:59:31","date_gmt":"2019-10-09T14:59:31","guid":{"rendered":"https:\/\/demand-planning.com\/?p=8027"},"modified":"2019-10-09T10:59:31","modified_gmt":"2019-10-09T14:59:31","slug":"8027","status":"publish","type":"post","link":"https:\/\/demand-planning.com\/2019\/10\/09\/8027\/","title":{"rendered":""},"content":{"rendered":"

The Fall issue Of The Journal of Business Forecasting is available for download now. With insight into updating S&OP for eCommerce, and a candid interview with Rolls-Royce chairman, Sir Ian Davis, about forecasting, planning and Big Data, it’s not one to miss.<\/strong><\/p>\n

Download the journal here<\/a>.<\/strong><\/p>\n

Is your S&OP up-to-date? Is it helping you to effectively manage and grow demand in the age of online retail and omni-channel order fulfillment? The answer, according to Dr. Chaman Jain, is probably not, or at least not to the extent that it should.<\/p>\n

It stands to reason that a business management process that was created in the 1980s, and before the advent of eCommerce, requires updating. To modernize S&OP, Dr. Jain advocates for dedicated eCommerce teams within the S&OP process. Such a team, he argues, should monitor regularly and closely the e-commerce market, make plans, and communicate them to Demand Planners for action. Check out the lead article for more information.<\/p>\n

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For this issue, I also sat down with Rolls-Royce Chairman, Sir Ian Davis, and got his views on how this aerospace giant manages forecasting, planning and\u00a0 complex supply chains. He discusses the opportunities lying in Big Data and the IoT, and shared his views on Millenials in the workplace and what it takes to get the C-suite today.<\/p>\n

We also interviewed Dr. Eric Siegel, the former Columbia University professor and author of the award-winning\u00a0book Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die<\/a><\/em>, and host of the Dr. Data Show<\/a> on YouTube. Check out out interview with him for tips on getting started in Predictive Analytics, and why it’s a critical best practice for any company operating at scale – that’s not to mention how this technology – when in the wrong hands – can present a danger to society.<\/p>\n

Featured Articles<\/strong><\/h3>\n

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