The Data Foundation Imperative: Why Your Data, Not Your AI, Decides What Your Investments Deliver
Enterprise buying organizations are funding sophisticated AI on a data foundation built for a different era. Only 15% report positive AI ROI in supply chain and warehouse, the lowest of any use case measured, and the reason is rarely the model.
The constraint is the data feeding it. The typical supplier is compliant on just 42.8% of transactions, and every miss becomes a gap, an error, or a manually resolved exception in the data your AI systems run on. No amount of model sophistication closes that gap.
Drawing on SPS Commerce network data and research from NRF, IBM, Cisco, and Impinj, this e-book shows technology leaders why internal data alone can't answer the questions AI is being asked, why build vs. buy is really a data access decision, and what a sound foundation requires before the next AI initiative underperforms.
Download this resource to learn:
- Why CIOs are now accountable for AI outcomes they can't fully control
- Why AI amplifies bad supplier data instead of averaging it out
- What internal data can't tell you, and why benchmarking requires a network
- How to reframe build vs. buy as a data access decision
- The 5 capabilities a sound data foundation requires
- How to pressure-test your foundation before a forcing event