How to build a data strategy for Procurement & AI.
A strategic approach to enabling AI & Automation
Spend Analytics, Category Management, Supplier Management, Sourcing, and Purchasing - they all benefit from clean data. But miscoded transactions, duplicated suppliers, and data living in SharePoint mean procurement teams spend more time reviewing and correcting data than exploring strategic options, evaluating scenarios, or making informed decisions.
AI and Automation are impacted much the same way. Automating processes and letting agents make decisions on questionable inputs is neither bold nor smart - it will just catapult us faster into the "Trough of disillusionment" (see Gartner Hype Cycle).
As the saying goes: "A problem well defined is a problem half solved." We did that and painted a roadmap towards a clear, sustainable data strategy.
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Understand what data means in the context of Procurement
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Understand the main reasons for persistent data challenges
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Gain practical insights on how AI can help fix your data problem
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9 practical steps towards a Procurement data strategy
Download our strategy paper to learn how to design a data strategy for Procurement - and how AI can help you get there.