Oliver Wight release new statistical forecasting white paper
Oliver Wight, business improvement specialists, have released a new global white paper on the value of statistical forecasting within a wider integrated demand management process.
- (1888PressRelease) January 07, 2015 - Business improvement specialists, Oliver Wight, have published a new white paper, 'The Power of Insight: Statistical Forecasting as part of Integrated Demand Management'. Providing an insight into effective demand planning, it addresses the role of statistical forecasting meeting customer demand as efficiently and profitably as possible.
Authored by David Holmes of Oliver Wight Americas and Andy Walker of Oliver Wight EAME, the paper discusses the advantages that statistical forecasting can bring to a business when it is embedded across the organisation as part of an integrated demand management process, helping anticipate changes in demand well in advance, so the business can respond accordingly.
The white paper also highlights the shortcomings of statistical forecasting and why it is critical to design a statistical forecasting model that is right for the individual company, and for all employees to understand the subsequent data.
"All too often, processes and tools are addressed with vigour but people and behaviour not so," says Holmes. "There is a tendency for an over-dependency on computer-generated forecasts, but without the intelligence, the forecast is just a number. Based on algorithms, forecasting tools take elements of history to fit out a projection of the future, but history doesn't always repeat itself. Knowledge and processes must be in place before the right tools can be specified and a reliable statistical forecast established."
The white paper explains that statistical forecasting is focused around three basic strategies; trends, seasonality and events. A trend-based forecast is best in a growth market, and can provide a good understanding of where demand is heading, event-based statistical modelling works well in highly volatile industries, and seasonality in creating cyclical patterns of demand.
"Statistical forecasting provides an invaluable baseline from which to build an integrated demand plan," says Walker. "However, it must always be regarded as an input to the demand plan, rather than an output of it. This is where Oliver Wight comes in; we can teach you how to make sense of all your stats, and how best to use them."
To download a copy of this white paper, please go here: http://www.oliverwight-eame.com/en-GB/news-events/white_papers_brochures/m/product/view/88.
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