Oliver Wight release new statistical forecasting white paper

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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 the white paper, please go here: http://www.oliverwightasiapacific.com/en-GB/library-events/white-papers/m/product/view/91

Yolanda Muser          
Oliver Wight AP
61 (0) 3 9596-5830       
YMuser@oliverwight-ap.com
www.oliverwight-ap.com
 

Steve Lipscombe
RONIN Marketing Limited
44 (0) 20 3326 5040
stevel@roninmarketing.co.uk
www.roninmarketing.co.uk

About Oliver Wight

At Oliver Wight, we believe sustainable business improvement can only be delivered
by your own people; so, unlike other consultancy firms, we transfer our knowledge to you. Pioneers of Sales and Operations Planning and originators of the fundamentals behind supply chain planning, Oliver Wight professionals are the acknowledged industry thought leaders for Integrated Business Planning (IBP).

Integrated Business Planning allows your senior executives to plan and manage the entire organisation over a 24-month horizon, while Oliver Wight’s extended Supply Chain Planning and Optimization ensures your supply chain is designed and structured to deliver best-in-class customer service with minimal costs. Using the Oliver Wight Maturity Model to pursue our globally recognised Class A standard for best practice will determine
a tailored improvement journey for you to develop your organisation’s processes, and reach and sustain excellent business performance. With a track record of
more than 40 years of helping some of the world’s best-known organisations, Oliver Wight will help you define your company’s vision for the future and deliver performance and financial results that last.

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Oliver Wight new white paper on the power of statistical forecasting Discusses advantages that statistical forecasting can bring to a business when it is embedded across the organisation as part of an integrated demand management process. Explains how statistical forecasting is focused around three basic strategies; trends, seasonality and events.
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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.
David Holmes