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The challenges of disparate data
What stands between so many companies and these advanced orchestration and fulfillment capabilities are the problems of normalizing many sources and types of data . In most cases this is impossible without a new connective tissue to bring it all together harmoniously . Only then can companies move to the third level of digital maturity that enables them to use AI and ML .
Companies are increasingly aware they need these capabilities and that they must provide a bridge between applications and data silos . In IDC ’ s 2022 Supply Chain
Spotlight Survey , when participants were asked about the steps their companies are taking to mitigate their supply chain planning challenges , 34 percent said they are looking for ways to better integrate their supply chain applications . They know they must integrate their supply chain data more effectively so they can use insights to make intelligent , real-time decisions at pivotal moments .
It is not another application that supply chain organizations need but a single source of truth from all their disparate data and the ability to sense and forecast demand and optimize fulfillment as
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