Cupertino, CA -- (SBWIRE) -- 12/22/2014 -- The Forecast Errors newsletter reported accurate data regarding suppliers, costs, risks, and other important criteria, is absolutely crucial as a first step in understanding where to focus sourcing efforts. Developing a sourcing roadmap that generates the greatest results requires additional analysis of organizational goals, market conditions, and spending patterns. Correcting forecasting errors requires implementation of best practices for collecting and classifying spend and supplier data for effective spend analysis, how to use this analysis to build a long term sourcing strategy and sourcing roadmap, and how to identify an organization's data that can be most helpful in making sourcing decisions.
Forecast Errors, a weekly e-newsletter, shares methods, modes, and tools used in a variety of supply chain industries. The newsletter explores forecast errors as the difference between the actual and predicted value. In the current issue, Forecast Errors argued that what separates best-in-class companies from those that struggle with accuracy is how they root out (and learn from) forecasting errors.
A forecast error is the difference between the actual and predicted value. The consequences are expensive inefficiencies that can be resolved with lean manufacturing technology.
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Ultriva's (http://www.ultriva.com) cloud-based platform leverages seamlessly integrates with leading ERP and MRP systems, to deliver an end to end pull based replenishment solution. Ultriva, based in Cupertino, CA, implements a global demand driven manufacturing model by providing full visibility, scheduling, and sequencing of production of customer orders. Ultriva was named one of the Great Supply Chain Projects of 2014 by Supply & Demand Chain Executive magazine and recently named one of 50 Best Supply Chain Blogs of 2014 by SupplyChainOpz. The company's global footprint is increasing rapidly with implementations in wide variety of industry sectors and enterprises such as Magellan Aerospace, CareFusion, Emerson, Ingersoll Rand, McKesson, Triumph Group, Regal Beloit, Thermo Fisher, and more.
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