What To Expect from Best-in-Class Spend Analysis Technology and User Design (Part 3) [PRO]

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Evaluating the merits of spend analysis solutions (by user role) is inherently complex given that a spend data analyst, a data management QA individual, teams, category managers, other procurement users and business stakeholders will interact with the application in different ways. An ideal solution for one user “type” may be unacceptable for another. For example, some groups will care deeply about granular data import/export capability while others will judge an entire solution by its reporting. Still others will marvel over the ability to classify or reclassify data in certain ways on the fly. But one commonality regardless of user role or interest for spend analysis is that the intersection of best-in-class technology with best-in-class user design is becoming inseparable. Form and function are both leading (and following) each other.

This Spend Matters PRO series explores how these areas can come together across a spend analysis application to transform how users interact with data and what they can do with it as a result. In the Part 1 of this series, we explored what separates out spend analysis dashboard approaches that are a distraction (at best) from those that are an invaluable component of an overall solution. In Part 2, we analyzed all of the nuances of optimal filter definition and dynamic cube views (and creation), including exploring what a truly flexible and dynamic filter capability consists of, as well as explaining the essential elements of formulaic and ranged dimension capability and real-time/scalable spend cubes (and why they matter, even for a typical user).

In this installment, we turn our attention to the intersection of the best technology and user design combinations covering optimal approaches to data import/export in different formats, “idiot-proof” data categorization system design and reclassification of data.

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