Dhatim Conciliator: Vendor Snapshot (Part 1) — Background & Solution Overview [PRO]

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You might not know it, but France has a great history of building outstanding, engineering-led procurement technology firms. Ivalua and b-pack (now Determine) stand out for different reasons, but both have achieved varying degrees of success globally. Dhatim, founded in 2007, stands to follow in their footsteps — and potentially create an even larger imprint. While not a new technology provider in the procurement space, Dhatim, and its solution named Conciliator, is relatively new outside of its home country. Like others that have expanded outside the French market before it, Dhatim is looking to build a global presence, first in Europe and the UK, and then beyond.

Dhatim’s Conciliator is not a procurement suite. In fact, it would misleading to view the provider as a module-centric vendor only. Rather, it has developed an artificial intelligence (AI)-centered suite of applications that leverage the underlying learning and analytics capability to solve specific procurement, finance and even HR business challenges as well as shared services end-to-end processes operational challenges, primarily centered on automated compliance. Many of Conciliator’s large customers are keen to take advantage of digital initiatives that center on “cognitive procurement” and related areas. Conciliator not only checks the box but also delivers against use cases in which other, non-AI based solutions would have a much more difficult time — if they could do it at all.

This Spend Matters PRO Vendor Snapshot provides facts and expert analysis to help procurement and finance organizations make informed decisions about whether they need a solution like Conciliator alongside or as an adjunct to other analytics and data classification technologies. Part 1 of our analysis provides a company background and detailed solution overview, as well as a summary recommended fit suggestion for when organizations should consider Conciliator. The remainder of this multipart research brief covers product strengths and weaknesses, competitor and SWOT analysis, user selection guides, and insider evaluation and selection considerations.

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