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Spendata: Vendor Analysis (Part 2) — Product Strengths and Weaknesses

data analytics

Spendata is one of the first third-generation spend analytics platforms that takes analytics out of the fixed data warehouse world and into the modern big data era, where you can do the analysis you want, when you want, where you want and how you want. As it runs in the browser, your only restriction is an OS that runs Chrome (which are 99% of the OS deployments). And you don't have to worry about whether or not the vendor is GDPR compliant, because the data stays on your machine.

This Spend Matters PRO Vendor Snapshot explores Spendata’s product strengths and weaknesses, providing facts and expert analysis to help procurement organizations decide whether they should shortlist the vendor. It also offers a critique of the user interface. Part 1 of our analysis provided a company background and detailed solution overview, as well as a summary recommended fit suggestion for when organizations should consider Bonfire in the sourcing technology area. The final installment in this series will offer a SWOT analysis, user selection guide, competitive alternatives, and additional evaluation and selection considerations.

Spendata: Vendor Analysis (Part 1) — Background and Solution Overview

There are two views one can take of spend analysis. The modern view envisions that all of the data needs to be centralized in a data warehouse, business intelligence (BI) or spend analysis tool in a single standardized hierarchy agreed upon by the entire organization. The belief is that there needs to be only one view into a single version of the truth before any (spend-related) progress can be made. This desire to find the be-all single spend taxonomy structure bolted onto a corporate data warehouse is a fool’s errand because there is no single hierarchical structure that represents the multi-variate richness of spend/supply data that category managers need to extract value. For more on this topic, see here.

Then there is the postmodern view, where success depends upon taking appropriate action on whatever data you can get, whenever you can get it, in whatever form it's in. Any intelligence is better than no intelligence, and any savings or value you can identify today is worth more than the hypothetically better savings that you might identify next week, next month, or, more likely next quarter or year (which is likely how long it will take to agree on a common schema, collect all of the data across the organization, categorize it, cleanse it and enrich it). And while more data can allow for the identification of bigger opportunities, it's often not worth waiting until you have it all to start the analysis and start pursuing those opportunities that are available today.

In this series we are going to talk about a new and disruptive spend analysis solution that adopts the postmodern view of spend analysis, where a practitioner should be able to take action on any data she can get her hands on whenever she can get her hands on it and take immediate action wherever and whatever. This includes the situation where the practitioner already has access to an enterprise data warehouse or business intelligence solution, because the data doesn't always get into that solution right away — and even if it does, it's not always the case that the schema of the data warehouse or business intelligence solution will support the type of analysis that the practitioner needs to do.

Oh, and it’s only $699.