Category Archives: Technology

AnyData: Another Analytics Arriviste from Across the Atlantic

Maybe some good is coming of all the gross incompetence in public sector spending, unreasonably long payment terms, and multi-nationalization of contemporary British companies … the last few years have seen more Analytics companies start in the UK than in the rest of the English speaking world. Anydata, founded in May, 2013, is one in the long list of UK-based spend analysis providers that have been receiving coverage here on SI and over on SM over the past year or so.

It’s one of the more unique offerings as, in some ways, it has more in common with Agiloft, a BPM (Business Process Management) vendor which recently forayed into Contract Management, building its first application in a matter of days using its visual development environment.

Like Agiloft, and unlike many other vendors in analytics, Anydata started out by building a visual development framework upon which it built its spend analysis offering. This gives it a number of advantages which include, but are not limited to, rapid configuration, rapid report and dashboard construction, rapid visualizations (that is on par or faster than Tableau, QlikView, PowerPivot, Birst, and other platforms they are typically compared against), and rapid development of workflows to support additional data collection.

The analysis platform is centered around powerful dashboard-driven analytics that can be customized by client from dozens of dashboard templates that include historic, strategic, geographic, vendor, company, office, cost-center, and chart-of-account overviews as well as savings opportunities, invoice opportunities, and category opportunities.

The categorization is quite powerful, and currently second only to Sievo in functionality currently on the market. Sievo’s unique multi-pivot drill-down approach allows users to classify data in chunks in any way they want to define those chunks in any order in a very collaborative fashion, which is currently unique on the market today. And while the AnyData approach is not as collaborative, it is as powerful as you can define chunks not on pivots and values, but on queries which can then be replayed, in the order of your choosing, as data is reloaded. So instead of having to define a three level breakdown to select a specific group of transactions for a category, it’s a simple query — which allows for much faster categorization if you are a power user good at creating SQL queries. Much faster.

And, rather uniquely, it has a very powerful data intelligence feature that allows an analyst to query and inspect the data and meta-data on a recently imported data source for the purposes of validating the accuracy and completeness — an activity that should go well beyond just validating the basic check-sums (against the annual financial reports). With AnyData’s platform, you can quickly identify sums, trends, and outliers for any time period of interest, use sliders to zone-in and zone-out on potentially anomalous data, use filters to restrict to dimensions (and even facts) of interest, and understand the characterization of the data you are importing. Not only does this help immensely in cleansing, but helps you pinpoint errors that standard techniques miss in cleansing and classification.

It has additional strengths, and, of course, weaknesses compared to other tools on the market — which can be explored in depth in the Spend Matters Pro series co-authored by the doctor and the prophet [membership required] (Part I) — but this should give you a good introduction to, and flavour for, what Anydata is.

PRGX: Optics on Optix

In our last post, we noted that, as written by the doctor and the prophet over on Spend Matters Pro (membership required) in the PRGX Intro, PRGX is one of a select number of dominant services provider in the niche market for recovery audit services — a market that unlike other procurement services faces tremendous price pressure for its core recovery, statement and related auditing and profit recovery services but also a vendor that has started to remake itself quietly from within.

As a result, as indicated in our last post, PRGX has built the most complete, and in many ways the most advanced, analytics and recovery solution for the retail sector and, in doing so, has built one of the most complete and advanced analytics and recovery solutions for just about any sector that buys and relies on goods. It does this via two platforms, Optix, which has deep Payment, Spend, and Product analytics, and Lavante, which has deep SIM and automated recovery prevention analytics. (We expect they will eventually be merged, but, for now, they are separate.)

As we have covered Lavante multiple times in the past, we’re going to focus on introducing the features of Optix.

Spend Optix

Spend Optix is designed to help an organization get deep insight into their category spend like a typical spend analysis platform for Sourcing and Procurement. Reporting revolves around categories and suppliers. It is also the only PRGX product that today has a built-in report builder, which can build spend reports across pre-defined dimensions and fields. The product is designed to help you understand spend category performance, spend under contract, invoice-vs-supplier insights, item price variance, and commodity cost indices.

This product can also be configured to track all contracts, all meta data of interest, and relate the contracts to the relevant categories and products. This allows a user to drill into a contract from a category, a category from a contract, and create accurate “address spend” reports, as will be described below. The ease of use is not at the level of Lavante SIM, but we expect that will change over time.

Payment Optix

Payment Optix is designed to help an organization get deep insight into their payments and related metrics and, in particular, DPO (days payable outstanding), PO (purchase order) vs. Non-PO spend, deep AP analytics, and risk insights.

The home screen, as with the other OPTIX products, is a dashboard with key metrics and graphs, such as invoices processed by month, DPO, Benford’s law (by invoice amount or value), and related metrics that an organization wants to see on a daily basis. The platform is drill-down report oriented, and the reports are segmented into Invoice Processing, DPO, and Risk Management.

Product Optix

Product Optix is designed to help an organization get deep insight into their product pool, including net margin, equivalent products, and best supplier funding opportunities. Reporting revolves around categories, suppliers, and deals.

The best part is the product detail report which brings up not only detailed product information, but the most complete product margin breakdown report you ever did see. With their extremely strong background in retail, PRGX understands true lifecycle margin calculations as good as anyone and it shines through in their report.

This is just a brief overview of what PRGX can do. For a much deeper dive, see the Pro series (Part I, Part II, and Part III) by the doctor and the prophet over on Spend Matters Pro (membership required) that also dives into strengths and weaknesses and a very detailed SWOT analysis to help you understand where they fit.

S2P Nirvana is a LONG Way Off!

And no amount of M&A is going to change that.

Why?

  • 1. There are still lots of problems software does not address
  • 2. No provider can address everything, even with a narrow functional focus
  • 3. Benefits only come from integration, not acquisition

1. There are still lots of problems that software does not address.

Software is simply automation of process by way of (mathematical or logical) algorithms. It is not intelligent (despite claims of AI supporters to the contrary), cannot sense the problems you need to solve, and cannot tell you what you are not doing outside of the process it was coded to support.

For example, in spend analysis, it cannot tell you what spend to look at, how to slice and dice it for unidentified opportunities, and where the functionality is lacking. It can identify trends, indicate what processes worked in the past to take advantage of those trends, but cannot identify any new, unknown, variables that could prevent those processes from working again.

2. No provider can address everything, even with a narrow functional focus.

There are at least half a dozen pure-play best of breed providers in pure spend analysis, and these follow half a dozen pure-play best of breed providers in pure spend analysis that were recently acquired, and all have unique capabilities. Thus, when there is still no provider that does it all, and still so much innovation to do in each narrow functional domain, it’s obvious that S2P Nirvana is still a long, long way off.

3. Benefits only come from integration, not acquisition.

Without integration, there are no more benefits than each solution had on its own. Just because the two solutions are now owned by the same provider does not mean there is any benefit besides potential volume-based cost leverage (if the provider can be persuaded) or more staff for additional services support. Benefits come from simplified and expedited processes, which generally only come from smooth integration, and, sometimes, even absorption of a smaller product into a bigger one.

In other words, S2P Nirvana is a long way off and M&A isn’t going to change that, so while the M&A train is going full steam ahead, it doesn’t mean it’s going to get you to your destination any faster.

PRGX – The Biggest Analytics Provider You Don’t Know!


For those that do not know it, PRGX would appear to be one of a select number of dominant services provider in the niche market for recovery audit services — a market that unlike other procurement services faces tremendous price pressure for its core recovery, statement and related auditing and profit recovery services.
the doctor and the prophet, PRGX Intro on Spend Matters Pro (membership required)

In particular, PRGX would appear to be a recovery audit specialist for the global retail sector. And that is what they are, but that is not all they are.


PRGX has started to remake itself quietly from within — out of necessity, given these broader market trends — building and acquiring technology capabilities in the spend analytics and supplier management areas, both to expand its relevance and to start driving automation and scale in its core business.

PRGX has built the most complete, and in many ways the most advanced, analytics and recovery solution for the retail sector and, in doing so, has built one of the most complete and advanced analytics and recovery solutions for just about any sector that buys and relies on goods. Pharma, Manufacturing, and Aerospace and Defense, just to name a few, could all benefit intensely from the out-of-the-box PRGX solution.

This is because it has evolved it’s application from a simple recovery analytics application to a full featured analytics solutions with modules for:

  • Payment Analytics
  • Spend Analytics
  • Product Analytics
  • Recovery Avoidance Analytics
  • Supplier Information Management

With the latter two coming through its recent acquisition of Lavante.

It can analyze what you paid (payment analytics), what you should have paid (recovery analytics), what you are spending (spend analytics), how much that is costing you and profiting you on a product level (product analytics), and what suppliers are supplying that product and how they are performing (SIM with a hefty dose of SPM).

And it can do this analysis end to end around a product or category, and allow you to simultaneously see what you ordered, spent, overspent, took in on sales, lost on returns, and profited when all was said and done. It’s one of the most powerful analytics solutions you don’t know about. Stay tuned — there is more to come!

It’s Not an AI Hype Cycle – It’s an AI Hype Wave!

Is it yet another AI hype cycle? This question was posed by Vinnie Mirchandani over on deal architect and it’s a good question.

AI has been the dream since the 1950’s when computing was just beginning and Alan Turing defined the famous Turing test (which is, sadly, not necessarily enough anymore because parallel computing and wide-scale sampling of real conversations can be used to pass the Turing test in many situations), but we’re not there yet. Enhancements to computing power, storage, and algorithms have made automated reasoning programs exponentially more powerful than they were sixty years ago, and today’s predictive capability is essentially unmatched … with many algorithms outdoing the best human experts.

But they are still not intelligent. They’re all based on data and trends which, for the most part, are predictable, and that’s where they excel — but where they are not, or where those trends can change on a dime, they still fail … some times spectacularly. Plus, if the data is incomplete or bad, they don’t always see this … and predict a wrong outcome. Human experts, on the other hand, can see missing data, outrageous trends, and when trends are inflecting in unexpected ways.

We’re nowhere near the point where we can even truly start using AI with a straight face, and, as per a quote from Yann LeCun, the director of AI research at Facebook, as quoted by the deal architect, despite these astonishing advances, we are a long way from machines that are as intelligent as humans — or even rats. So far, we’ve seen only 5% of what AI can do. And I’d say that 5% is an overstatement.

But, as the deal architect has indicated, we are seeing a huge increase in they hype about AI. As indicated by the deal architect, IBM has been marketing Watson since before it should have been announced, technologists are claiming that AI can replace entire fields, and Cambridge University has created a Center for the Study of Existential Risk to study extinction-level risks that can emerge from technological advances (like AI). Apparently, the hype is back … but the reality is that it never went away. It’s a continuous wave that crests and troughs and crest and troughs … it never goes away. The believers, for better or worse, won’t let it. There hasn’t been a decade where the hype hasn’t increased unnecessarily since the 50’s, and we’ll never see the end. Because until someone makes a true quantum leap, it will continue to be gradual progress, decade after decade, and the hype will continue ad-nauseum.