Impressions as Tungsten/OB10 Releases Networked, Invoice-Based Spend Analytics

My colleague Jason Busch had the chance to catch up with the team behind Tungsten Network’s new spend analytics offering (note, OB10 is now Tungsten Network). The solution is quite different from just about any other approach to spend analysis in the market today. It’s not perfect and it’s not a full replacement for other spend analysis tools – yet. But it very well could be the future of how procurement and finance organizations together look at spend and supplier analytics on a near real-time basis using network data exhaust rather than taking an ETL- or batch-based approach to manually extracting data from systems (in the case of Tungsten, network data is updated hourly). Moreover, the model could prove initially to be a complement to other solution approaches while ultimately upsetting the entire analytics apple cart based on a different philosophy and approach to actively capturing highly granular line-level invoice information.


The Tungsten Network Analytics offering is brand new in the market. Tungsten only pushed it to production in early May 2014. At this stage, Tungsten is lining up a number of beta customers as Tungsten learns and gathers feedback. The largest customer dataset represents approximately $5 billion (US) in spend flowing through the Tungsten network – the smallest customer’s spend in the beta is just shy of $1 billion. Of the initial customers in the first wave of the beta (six to 10 are planned for beta in total), three already have other spend analysis tools they’ve purchased previously from third parties. So far, in the early beta, Tungsten is finding that the PPV range for identical SKUs within the same company flowing through the network is 1-2% within each company (including those organizations which already have spend analysis tools in place).

What I find personally of interest is not only the data around spend variance on line item SKUs, but the rich data around invoices, payments, etc. that can lead to real data on invoices received, approved, paid by verticals, company size, etc.

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