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Orpheus: Vendor Analysis (Part 3) — SWOT, Competitive Analysis and Summary

Spend Analysis. Every company needs it, but not every company knows what they need or how to use it. As per our first post, it could be defined as:

* An extensive set of canned reports across a defined data set
* User Defined Reports and Views on a static ROLAP Cube
* Dynamic Cube Construction and View Creation on a predefined data set
* Dynamic Cube Construction and Federation on an extensible, user-defined data set

Depending on the provider, it may or may not include:

* Data Consolidation and Cleansing
* Data Enrichment
* Data Classification and Categorization
* Data Synchronization with Source Systems

And that’s just the tip of the iceberg on what one has to consider before even inviting a pool of candidates to an RFI, yet alone whittling down to three that all have the core capabilities the organization needs and that can all, more-or-less, be compared apples-to-apples when the RFIs come in.

That’s why in the first part of this three-part series we took our time to define Orpheus and its solutions, including components and capabilities not offered by every spend analysis vendor on the market. Then, in Part 2, we dove deep into the solution, highlighting particular strengths and bringing to light some of the weaknesses compared to peers (which may or may not matter depending on what your organization is looking for). Now, in our third and final part, we will provide a SWOT analysis, a competitive market analysis and a summary with commentary.

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

In Part 1 of Spend Matters’ three-part PRO Vendor Snapshot on Orpheus, we started out by explaining how the definition of spend analysis differs from client to client and how it is a buyer-beware market — as not all vendors have the same technological capabilities, and you can’t compare their quotes as apples-to-apples. That’s why it’s important to understand what a vendor can do, and what it can’t, before whittling down to the final three and definitely before making a selection — because not all vendors will have what Oprheus has to offer.

While many vendors can slice and dice, cube and derive, and find opportunities on the fly — not all have initiative tracking, not all have AI, and not all have the experience of classifying over half a billion transactions across 4 million suppliers for 15 years of operation. This is pretty distinctive, and we’ve only completed the introduction so far.

In today’s post, we will dive into the strengths and weaknesses, giving you deep insight into the platform.

In Part 3, we will provide a SWOT analysis of Orpheus and discuss the competitive market that surrounds it. We will conclude with some commentary and hopefully will leave you with deep insights into who Orpheus is and what it can do.

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

procurement

“Spend analysis” is one of the most misused terms in the solution space, especially since the exact scope of what a vendor offers with respect to spend analysis varies by vendor and the scope of what a buyer expects when they buy a spend-analysis solution varies by the buyer. You see, what a vendor offers depends upon their philosophy to analysis and where they are on the development curve with respect to that. What a buyer expects depends upon their level of procurement maturity, what they are aware of as being possible with a modern spend analysis tool, and their level of master data maturity.

You see, "spend analysis" has been, is and will be defined in various ways by various vendors. Depending on the vendor, it could be defined as:

* An extensive set of canned reports across a defined data set
* User Defined Reports and Views on a static ROLAP Cube
* Dynamic Cube Construction and View Creation on a pre-defined data set
* Dynamic Cube Construction and Federation on an extensible, user defined data set

Depending on the provider, it may or may not include:

* Data Consolidation and Cleansing
* Data Enrichment
* Data Classification and Categorization
* Data Synchronization with Source Systems

And depending on the provider philosophy, the classification may be:

* Rules-based
* Automated using statistical / clustering / neural networks
* Machine learning that adjusts the rules to improve the classification over time
* Hybrid approach that does auto-classification and allows for pre-classification using fixed rules and post-classification for mapping corrections
* Machine learning that identifies fixed, deterministic classification rules that are applied with user defined rules for all classification

And the data may or may not be limited to:

* Integrated data sources in the platform that the analysis tool is integrated into
* Integrated data sources, pre-integrated ERP and select API feeds
* A data lake maintained by the provider
* Any data you can push into the data lake it is configured to work on

And so on. In other words, what a vendor offers when they offer spend analysis varies by the vendor, and what a buyer might get can vary widely.

So in this three-part Spend Matters Pro Vendor Snapshot on Orpheus, we will try to leave you with a clear understanding of exactly what Orpheus offers with respect to spend analysis and whether they might be the right provider for you.

In Part 1, we will provide a brief company overview and a look at Oprheus' main offerings.

For Part 2, we will provide a breakdown of what is comparatively good (and maybe not so good) about the solution.

In Part 3, we’ll offer a high-level SWOT analysis, some market implications and a summary.