Category Archives: Knowledge Management

Forget Best in Class, Hype, or Futurism — If You Want To Improve, Mature!

As you know, and as we’ve written about repeatedly, the hype cycles for orchestration and Gen-AI are in full swing (even though both should be declining, they are both picking up steam, likely due to the ridiculous amount of money spent on marketing — which includes vendors buying analyst studies and reports that focus on areas where they look good).

Consultancies are not only trying to promote and sell you these technologies as a panacea for all your technology ills, but also trying to tell you that it’s what the best-in-class do and, by the way, that if you want to be best-in-class, you have to upgrade all of your processes (with their help) to those that the best-in-class use (whatever that means).

Furthermore, both are trying to tell you what the Future of Procurement is in 2030, 2035, 2040, etc.

And the reality is that NONE of this helps you. Not one bit.

As we have repeatedly pointed out, most of the currently hyped technology is still in experimental/beta stages. This is not technology that will help you mature. In fact, if you are not an industry leader, and mature in your processes, it may actually hold you back because you need to be a mature industry leader with your Procurement organization running smoothly to have the time and experience to properly evaluate these technologies and where they might fit in your organization.

Furthermore, every organization is different. As a result, what is a best practice for one organization may not be a best process for another. In fact, it might not even be relevant. While you will need to improve your processes, and streamline them for digitization, there is no set of fixed processes you can just plug and play and succeed.

And, don’t pardon my French, why the fuck would you care about what Procurement will be like in 5, 10, 15, 25 years. That does NOT solve your problem today. You care about what a better organization would like today and how to get there. That’s it. Just like the journey of a thousand miles begins with a single step (and possibly a single kick in the ass), the path to success is continual improvement, and, simply put, doing better tomorrow than you are doing today.

This means that the key to success is good old maturity levels, current state assessments, and simple step-by-step plans to get from one level to another. Nothing fancy. Nothing tech-centric. And definitely nothing hyped!

While the doctor admits he did get a little tired of the plethora of these maturity maps that appeared in rapid succession in the late 2000s and early 2010s, including the one he did, it was much preferable to today where the dearth of these, and simple advice, is deafening. The help that is desperately needed is not there — replaced by (Gen-AI generated) (Gen-)AI and orchestration hype, not how they can (and cannot) support the solutions you need.

[Plus, let’s not forget that analyst firms and consultancies tend to ignore government regulations and industry compliance (except in country-specific studies), day-to-day pain points (because they aren’t sexy and won’t sell the hype), and, unless they can make a quick-buck (or get a major uptick in eyeballs), changing global conditions that require (temporary) supply chain pivots.]

So, if you truly want to improve, find a maturity model that walks you through the process and knowledge improvements you need to

  1. get to where you should have been when you started Procurement
  2. get to where you should be today
  3. prepare for the next 3 to 5 years (since no one looks beyond that anymore)
  4. slowly build out a foundation that will take you beyond that (without another massive investment)

That’s it. That’s how you make progress. And how you do it without flushing Millions of Dollars down the (Big X) consulting toilet.

Need a starting point? You can still download the classic paper the doctor wrote back in 2012, that was sponsored by BravoSolution (acquired by Jaggaer), on Taking the First Step on Your Next Level Supply Management Journey which describes the levels of maturity from standardization and complexity reduction (which is typically the first step an organization takes on its journey), to operational excellence (which is typically the second step an organization takes on its journey), to strategic business enablement (which is when it typically becomes best in class).

If you do a web search, you will find others from the big consultancies, but this gives you an idea of what to look for in a model that you can build a progress plan on. Where do you start, where will go next, and where do you want to end up. Note that a good model is tech free. Tech should support your growth, not the other way around. (In other words, it’s never Tech-First or AI-First, it’s solution first, and then you identify the right tech.)

And if you need help with a current state assessment, or flushing out a roadmap from one level to the next, or where you are now to standardization and complexity reduction, hire a niche consultancy who will take a no-nonsense approach to get you there at a reasonable cost. (This shouldn’t cost millions of dollars in a transformation project. Depending on your organizational size and complexity, somewhere in the low six figures should typically be enough to get your started, or mid to high five figures if you want to just focus on a few core areas at a time. But definitely NOT seven figures. That comes during the transformation process once you have identified the tech you need, and NOT the tech everyone is trying to shove down the proverbial throat.)

With Great Data Comes Great Opportunity!

In fact, it can quadruple your ROI from a major suite.

Not long ago, Stephany Lapierre posted that your team may only be realizing <50% of the ROI from your Ariba or Coupa investment, to which, of course, my response was:

50% of value on average? WOW!

Let’s break some things down.

A suite will typically cost 4X a leaner mid-market offering which is often enough even for an enterprise just starting it’s Best in Class journey (that will take at least 8 years, as per Hackett group research in the 2000s).

Moreover, even if the enterprise can make full use of the suite it buys for 4X, at least 80% of the “opportunity” comes from just having a good process, technology, baseline capability and automation behind it. That says you’re paying 4X to squeeze an additional 20% worth of opportunity in the best case.

On average, it takes 2 to 3 years to implement a suite (on a 3 to 5 year deal). So maybe you’re seeing an average of 66% functionality over the contract duration.

As Stephany pointed out, bad data leads to

  • increased supplier discovery and management times
  • invoice processing delays and errors
  • increased risk and decreased performance insight

As well as an

  • inability to take advantage of advanced (spend) analytics
  • inability to build detailed optimization models
  • decreased accuracy in cost modelling and market prediction

This is even more problematic! Why? These are the only technologies found to deliver year-over-year 10%+ savings! (This is where the extra value a suite can offer comes from, but only with good data. Otherwise, at most half of the opportunity will be realized.)

Thus, one can argue an average organization is only getting 66% of 25% of 80% of its investment against peers (based on 2/3rd functionality, the 4X suite cost, and the baseline savings available from a basic mid-market application that instills good process and cost intelligence) and 50% of 20% (as it is able to take advantage of at most half of the advanced functionality offered by the suite due to poor and incomplete data). In other words, at the end of the day, we’d argue an average company is only realizing 23% of the potential value from an opportunity perspective!

However, as one should rightly point out, the true value of a suite is not the value you get on the base, it’s the ROI on that extra spend that allows for 20% more opportunity than a customer can get from lesser peer ProcureTech solutions.

For example, let’s say you are a company with 1B of spend with a 100M opportunity.

If tackling 20M of that opportunity requires advanced analytics, optimization, and extensive end-to-end data, it’s likely that you’ll never see that with an average mid-market solution with limited analytics, no optimization, and only baseline transactional data. If the company paid an extra 1.5M over 3 years for this enhanced functionality, then the ROI on that is 13X, which is definitely worth it.

Moreover, if the suite supports the creation of enhanced automations, you could get more throughput per employee and realize the base 80M with half or one quarter of the workforce, which would lead to a lowering of the HR budget that more than covers the baseline cost.

However, ALL of this requires great data, advanced capability, and the in-house knowledge to use both. This is only the case in the market leaders. As a result, we’d argue that the majority of clients are only realizing about 25% of the suite’s potential — when sometimes the only thing standing in their way of realizing the rest is good data.

Enterprises have a Data Problem. And they will until they accept they need to do E-MDM, and it will cost them!

This originally published on April (29) 2024.  It is being reposted because MDM is becoming more essential by the day, especially since AI doesn’t work without good, clean, data.

insideBIGDATA recently published an article on The Impact of Data Analytics Integration Mismatch on Business Technology Advancements which did a rather good job on highlighting all of the problems with bad integrations (which happen every day [and just result in you contributing to the half a TRILLION dollars that will be wasted on SaaS Spend this year and the one TRILLION that will be wasted on IT Services]), and an okay job of advising you how to prevent them. But the problem is much larger than the article lets on, and we need to discuss that.

But first, let’s summarize the major impacts outlined in the article (which you should click to and read before continuing on in this article):

  • Higher Operational Expenses
  • Poor Business Outcomes
  • Delayed Decision Making
  • Competitive Disadvantages
  • Missed Business Opportunities

And then add the following critical impacts (which is not a complete list by any stretch of the imagination) when your supplier, product, and supply chain data isn’t up to snuff:

  • Fines for failing to comply with filings and appropriate trade restrictions
  • Product seizures when products violate certain regulations (like ROHS, WEEE, etc.)
  • Lost Funds and Liabilities when incomplete/compromised data results in payments to the wrong/fraudulent entities
  • Massive disruption risks when you don’t get notifications of major supply chain incidents when the right locations and suppliers are not being monitored (multiple tiers down in your supply chain)
  • Massive lawsuits when data isn’t properly encrypted and secured and personal data gets compromised in a cyberattack

You need good data. You need secure data. You need actionable data. And you won’t have any of that without the right integration.

The article says to ensure good integration you should:

  • mitigate low-quality data before integration (since cleansing and enrichment might not even be possible)
  • adopt uniformity and standardized data formats and structures across systems
  • phase out outdated technology

which is all fine and dandy, but misses the core of the problem:

Data is bad (often very, very bad), because the organizations don’t have an enterprise data management strategy. That’s the first step. Furthermore this E-MDM strategy needs to define:

  1. the master schema with all of the core data objects (records) that need to be shared organizational wide
  2. the common data format (for ids, names, keys, etc.) (that every system will need to map to)
  3. the master data encoding standard

With a properly defined schema, there is less of a need to adopt uniformity across data formats and structures across the enterprise systems (which will not always be possible if an organization needs to maintain outdated technology either because a former manager entered into a 10 year agreement just to be rid of the problem or it would be too expensive to migrate to another system at the present time) or to phase out outdated technology (which, if it’s the ERP or AP, will likely not be possible) since the organization just needs to ensure that all data exchanges are in the common data format and use the master data encoding standard.

Moreover, once you have the E-MDM strategy, it’s easy to flush out the HR-MDM, Supplier/SupplyChain-MDM, and Finance-MDM strategies and get them right.

As THE PROPHET has said, data will be your best friend in procurement and supply chain in 2024 if you give it a chance.

Or, you can cover your eyes and ears and sing the same old tune that you’ve been singing since your organization acquired its first computer and built it’s first “database”:

Well …
I have a little data
I store it on my drive
And when it’s old and flawed
The data I’ll archive

Oh, data, data, data
I store it on my drive
And when it’s old and flawed
The data I’ll archive

It has nonstandard fields
The records short and lank
When I try to read it
The blocks all come back blank

I have a little data
I store it on my drive
And when it’s old and flawed
The data I’ll archive

My data is so ancient
Drive sectors start to rot
I try to read my data
The effort comes to naught

Oh, data, data, data
I store it on my drive
And when it’s old and flawed
The data I’ll archive

Follow the Money — To Find the Spigots that can Turn it Off!

A recent CPO Crunch article over on Procurement Leaders said to Follow the Money as a focus on profit contribution can provide a starting point for improving supply chain transparency.

The article states that having knowledge of our suppliers is one thing, but it’s quite another to have a good understanding of who are suppliers’ suppliers are … not to mention those even further beyond and in a complex, risk-riddled world, such visibility is crucial and can bring meaningful competitive advantage.

In other words, following the money can increase profitability by allowing you to optimize the flow. Which is true, but only half the picture.

The other half is how the flow can be diverted or stopped. Two important things to remember about money flows. First, if these money flows present an opportunity for you, they present an opportunity for others. Not just outright theft of money (or product), but skimming, fraudulent billings/overpayments/handling fees (or your goods don’t move), and even fraudulent good substitution (with knockoffs). Secondly, if any input to any of these flows stops (beyond your visibility), the entire flow stops. And these flows could stop 6 levels down at the source.

For example, let’s say you are in medical device manufacturing or microwave-based manufacturing. Then you need thulium, which is one of the rarest rare earth minerals in the world. If a mine closes, even temporarily, and that mine is the only source of supply into your raw material or component supplier (that produces your enclosed radiation source or manufacturing ferrites), what do you think is going to happen? Production will stop, and your inventory will disappear. Or if you need a custom chip for the control system in your high end electric car, and the one plant currently capable of producing it experiences a fire. (This HAS happened, and chip shortages have been responsible for MULTIPLE shortages in MULTIPLE automotive lines. Just Google it.)

If your only production is in a country with geopolitical instability or deteriorating relations with your country, and borders (temporarily) close, what happens? And so on. If you don’t know the myriad of ways the spigots can be turned off, it doesn’t matter how well you know, or optimize, the money flow. These days, it’s all about risk management, visibility, and quick reaction if a spigot gets turned off to get it reopened again.

Procurement Leaders Listen to Roxette!


How do you do (do you do) the things that you do?
No one I know could ever keep up with you
How do you do?
Did it ever make sense to you …

A recent article over on Procurement Leaders asks CPOs why do you do and notes that a recent exercise they’ve been carrying out has been to ask CPOs to share the value propositions they have in place for their function.

Procurement Leaders’ goal was to force extremely busy people to take a step back and think deeply about why they do what they do. What are the ultimate goals of those negotiations with suppliers? Why are they spending time building relationships with certain suppliers and not others? Where should scarce resources and investment dollars be spent? This is because while a value proposition for a Procurement department is not an easy thing to produce and even more challenging to agree and implement, the provocation can allow a Procurement Department to get back to strategy, think about how our decisions affect our stakeholders, suppliers and the communities we do business in.

And while a Procurement department should understand its value proposition, because it helps it focus and relay its value, getting everyone in the organization to agree can be a very extensive effort and extremely time consuming. Furthermore, when you consider the possibility that the “value proposition” ultimately agreed on could be such a mish-mash of different viewpoints and demands to the point that it adds absolutely no value whatsoever, just like a corporate “mission statement” when everyone gets to add their bit to it (and the end result is no different than what the Dilbert Mission Statement Generator used to generate).

However, if you look at the example questions Procurement Leaders’ quoted, you realize that while a vision might be a good goal, a better effort, or at least a better way to start, is to ask the C-Suite to outline it’s top goals for the year, and then for the Procurement organization to identify the best ways they can meet those goals. From there they can identify: which categories should be strategically sourced, which products or services are critical for them, which suppliers are likely critical, and then, for each project, define the value and the goal and not spend effort building relationships with suppliers who are supplying tactical products or services that can be just as easily obtained from the next three lowest bid suppliers and instead spend time developing relationships with suppliers who are critical, even if the overall spend is low. For example, control chips in cars and power regulation systems are extremely critical and often only (capable of) being produced by a few suppliers due to highly specific requirements or proprietary natures. Compared to the costs of the steel, the transmission, the engine and/or the batteries, and even the tires, the total spend might not even register when the chips are only a couple of dollars each — but if a supplier failure, logistics delay, or raw material shortage shuts down your entire production line because you didn’t see a shortfall coming and either work with your supplier to build up an inventory or work with the backup supplier to allow production to be ramped up quickly, hundreds of millions of dollars in revenue could be at stake.

Furthermore, no effort should be spent “strategically” sourcing a product or category where the payback isn’t at least 3X the cost of the manpower required to do so. If an automated multi-round RFX with automated feedback or a reverse auction will get you 99% of the savings and the last 1% won’t even pay for 3X the salary and overhead of the buyer, it’s just not worth it if this prevents the organization from sourcing a lower cost category with a 5% savings potential through better analysis and negotiation. Know the value, define the value, and only put effort in where there is real value to be gained. Otherwise, use appropriate automation or redefine categories and projects. (Definitely don’t go nuts and RFQ everything, because even the squirrels will know you’re nuts if you do. But maybe do some overarching sourcing or negotiation that you can just cut POs or one-time orders against for a year. Sometimes just negotiating for 20% off of lowest list price in a 30 day window [and carefully tracking and documenting those prices to prevent invoice overcharges] is enough to automate catalog orders.)

And similar logic applies to all Procurement (related) activities. While machines can’t replace procurement professionals, they can take over the tasks where their intervention doesn’t add value. That’s the point. So think before you act, and act appropriately.