Turning “Big Data” Into “Big Visibility”
Advanced analytics can generate deep and expansive value by providing real time visibility across the supply chain and improving forecasting, demand planning, sourcing, replenishment, production, transportation and logistics, and distribution processes.
Most firms have already invested in business intelligence, supply chain management (SCM), and modeling tools that claim to make it possible to drill deeper into their supply chain data in search of savings.
These tools are often marketed with vague promises that they will harness the organization’s “big data” and/or provide “end-to-end” (e2e) visibility.
Yet despite the fact that they have undergone a number of complex and expensive technology implementations, most C-level and supply chain executives admit that they still have little idea of what is happening throughout their extended supply chain until long after events have taken place.
It is nearly impossible for their organization to sense an issue and modify or optimize its response in a timely manner.
As a result, today’s executives are frustrated - they know their companies are sitting on extremely valuable information assets and yet they are unable to leverage it for the benefit of their organization. While they work hard every day running operations or trying to figure out how to best allocate their limited capital, the thought is always in the back of their minds that there has to be a better way.
The problem however is that it is very challenging to know what tools to invest in and how to time that investment.
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