Author Archives: thedoctor

It’s Not What You Pay a Man …

… but what he costs you that counts.
Will Rogers

Will Rogers was born in a time when many businesses were vertically integrated, controlling everything from the extraction of the raw material from the mine to the final delivery of the end product to the consumer, and they succeeded or failed on the caliber of man they hired.

But if he were alive today, I bet he’d be saying:

It’s not what you pay a vendor, but what the vendor costs you that counts.

All vendors of software and services cost you — and they typically cost much more than the license fee or consulting hour they bill you by. We’ll start with a services provider. Besides the myriad of expenses they will bill you for (that will be just within tolerance), there will also be the costs of supervising the resources, evaluating the deliverables, participating in regular review meetings, monitoring the relationship, and so on — and all of these will take up time which will eat up a huge opportunity cost.

But this is nothing compared to what a software/platform vendor will cost you.

A vendor touting the virtues of on-premise software will not only charge you an installation fee, a license fee, and an (on-site) maintenance fee, but will also charge you regular (emergency) upgrade fees, change fees, and so on. But there will also be the costs of the supporting software they need (databases, middleware, etc.), the hardware they need to run on, the training to use and support the software, and so on. If the vendor is ASP, these costs will all be rolled up and hidden in a monthly service fee that will also include the personnel costs to manage the instance and a portion of the overhead cost of the facility. And if the vendor is SaaS, there will still be a single fee, but since the facility is multi-tenant, it will be less.

But regardless of the platform, there will still be other costs — for instance, most of today’s sourcing and procurement platforms don’t deliver value unless the pre-requisites are met. For some platforms, this means connectivity to other systems. For others, this means good data … and lots of it. Data that typically resides in a myriad of other systems, in various forms of incompleteness and correctness, that needs to be centralized, corrected, completed, and enriched — an effort that can cost thousands of man-hours and hundreds of thousands of dollars for some organizations. And if the system is relatively worthless until most of that data is loaded (for example, spend analysis), then the organization will have to spend many times the system cost to get any source of value.

The same goes for systems that require templates and libraries to be useful — like contract management systems. If the authoring feature doesn’t simplify matters until a few hundred templates and a few thousand clauses are created, indexed, and cross-indexed, countless hours from paralegals and legals will be needed to make it useful.

In other words, when it comes to vendors, it’s not what you pay, it’s what they cost. And if the return doesn’t outweigh the cost by at least a factor of 3, think twice.

The First Rule of Any Technology …

… used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.

Bill Gates

So many companies forget this in their rush to implement new S2C / P2P / S2P systems after finally getting budget approval. If you just automate what you have, you’ll simply amplify your mess and your problems.

Take sourcing. If, all of a sudden, a buyer can go from 50 mini-RFX events to 250 mini-RFX events, this is not always a good thing. What if the buyer is always using the suppliers she favours, who recommend custom SKUs for every project? In this situation, all that will happen is the buyer will proliferate SKUs throughout the system, often adding SKUs for products that were already supplied by another supplier (that the stockroom clerk ordered from), that was not invited to the RFQ as it was not one of the buyer’s favoured suppliers.

And while this theoretically increases Spend Under Management (SUM) as it gets the spend in the system, this just increases Spend Under Record (SUR) as, instead of properly managing the spend — which in this case would have resulted in SKU standardization instead of proliferation and category-based supplier rationalization based on a collective stakeholder scorecard and not just buyer preference — all the buyer did was add more chaos to the spend.

As another example, take invoice processing. As the purchasing wizard regularly laments over on Purchasing Insight, many organizations still think invoice automation is OCR and automatic field extraction based on keywords or relative location in the document. This in a time when most suppliers have EDI or the ability to send some form of standard XML, and when just about every decent e-Procurement or Source to Pay platform allows smaller suppliers without these abilities to “PO-flip” to an invoice. Some platforms even allow virtual printer drives to be distributed (for Windows and Mac) that will allow a supplier to “print” an invoice from their AR software straight to the e-Procurement platform — there are so many options that don’t require erroneous OCR, why would anyone in their right mind* even consider it.

Before automating anything, be sure to do a formal process review, identify any areas that are inefficient, and any areas that could be improved by technology. Then identify what the processes should look like. Only then do you automate. And be sure to measure whether or not the automation is delivering the planned results. This means that you should have, and be reading, throughput/efficiency metrics before the conversion, and throughput/efficiency metrics after the conversion. And the metrics should improve in the right direction. If they don’t, stop and figure out why. Automation should help, not hinder.

* We know, we know. Many MBAs aren’t always in their “right mind”. 😉

Thirty One Years Ago Today

Microsoft Windows 1.0 was released, which marked the beginnings of the PC revolution. While poorly received, it was followed by Windows 2.0, which ran the first versions of Word and Excel, and then Windows 3.0 (and 3.1) which was the first widely released version of windows when it was released less than 5 years later.

And overworked LOLCats everywhere rejoiced!

Maybe Self Driving Cars Are Inevitable …

… but so is wrong way driving (as happened in Pittsburgh) as online maps are not error free …

… and crashes into the side of a bus (like Google’s Lexus) …

… and crashes into the sides of small trucks (when the autonomous taxi decided to crash into a truck) …

… and even autonomous vehicular manslaughter (when a Model S decided to crash into a tractor trailer) …

There’s a reason that LOLCats avoid all self-driving cars (and not just chryslers that will drive you off the road) … and that’s because they knew just where self-driving cars would take them … and they only have nine lives.

They are quite happy to listen to great grandpa LOLCat who said ride a bike/

So Why Do You Want To get a Grip on Supply Dynamics?

Simply put, because when you do, target costing becomes a reality. And with target costing, you can not only set, but achieve, realistic cost goals for key products. This is only achieved when you have good insight into end to end cost components from a raw material, energy, labour, and overhead perspective. And this is only achievable when you have the systems that allows you to gather real cost data right down to the raw materials, and not just average cost data from across buying organizations (that are used to feed statistical models).

Seven years ago today SI ran an article on how Target Costing Works and You can Do It Too! We quoted an article from the now-defunct Purchasing magazine on how purchasing learns cost modelling which noted that smart buyers are working with engineers, finance and suppliers to identify cost drivers in product development and eliminate them and that Whirlpol was able to close a gap of 30% between the target cost for a module on one product and the initial design cost.

We also noted that new players in the market, like Akoya (which was puchased by I-Cubed in 2014) and Apriori (which Whirlpool selected as a provider in 2013 [Source]) could be used to help set target costs as Akoya’s market intelligence and statistical models gave a decent target range and Apriori’s production cost models, when populated with raw material, energy, and overhead costs, gave an expected production cost.

But one thing these providers couldn’t necessarily do was figure out how low costs could go if the costs could be traced right down to raw material providers, which can only be done if the input component costs can be traced through the supply chain. But with a solution that allows all costs to be collected and correlated, aggregation and streamlining opportunities to be identified and captured, and high production / overhead costs to be identified, aggressive, but realistic target costs can be set and realized as the organization knows where to focus its cross functional teams. And that’s one of the big reasons why you want to get a grip on supply dynamics!