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Summary
Supply chain business intelligence is still in its infancy. Most BI platforms
and supply chain management applications fall short in capturing and modeling
the intricacies of global supply chain networks. Reconciling disparate data
definitions, establishing a common business process reference model and providing
managers with meaningful, forward-looking metrics offer even more challenges
for these vendors. Business users will have to augment their BI tools and platforms
with complementary applications to support the growing complexity of managing
supply chain performance.
In the 1980s, finance and telecommunications companies pioneered the use of business intelligence (BI) technology to support financial and market analysis of the large volumes of electronic data they had begun to accumulate. The need for BI capabilities grew in the ‘80s and ‘90s in other industries, as companies began capturing data electronically across the full range of their business activities. This need was further compounded by the growing interest in real-time access to data, which required effective tools to mine and analyze dramatically increasing volumes of data.
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