It’s possible to look at what Tamr is trying to do for procurement through multiple lenses. From one angle, Tamr is bringing a revamped approach to data management and data classification for basic procurement analytics. But from other angles, Tamr is pursuing a different end game entirely: attempting to expand procurement’s data-driven horizons from traditional spend analysis to broader supply analytics (which includes spend data). Supply analytics is about much more than looking at “how much we spent.” It’s about bringing in new datasets to procurement analytics and expanding the value procurement can deliver through: exploring drivers of activity, linking specific category-based datasets to measurement and strategy development, influencing future buying behavior, quantifying the strategic value of spend and supplier relationships and much more.
This is a significant shift. We like to joke around the Spend Matters office that traditional spend analysis approaches should really be called forensic “spent analysis.” This statement can be, of course, read in two ways. Literally, spent analysis is rear-facing — and of diminishing value over time. But one can also read the phrase as an indictment of the actual benefit of most spend analysis today, especially when compared to its true potential. After all, if our analytics approaches are “spent,” then maybe procurement’s value-add is similarly at risk.
This final installment of our multipart Spend Matters PRO Vendor Snapshot series covering Tamr offers a competitive analysis and comparison with other spend analytics providers, as well as enterprise business intelligence vendors that are actually a better basis of comparison (if we want to move beyond “spent” analysis). It also includes a user selection guide, user interface and user experience (UI/UX) analysis and summary evaluation and selection considerations. Part 1 and Part 2 of this PRO research series provide a company and deep dive solution overview, a SWOT analysis, product strengths and weaknesses and a recommended fit analysis for what types of organizations should consider Tamr.