Monthly Archives: November 2011

Has Your Product Been Greenwashed?

About a year ago SI published a post that asked if it was green, or just more greenwashing after Terrachoice released its annual Sins of Greenwashing study that found 95% of the 5,296 products that were reviewed were still committing at least one greenwashing sin.

In response to this post, a reader has directed me to an awesome graphic, Green Marketing Exposed, created by Marketing Degree, embedded below (with permission), that breaks down the seven deadly greenwashing sins of

  • no proof
  • hidden trade-off
  • smoke and mirrors
  • vagueness
  • false labels
  • irrelevant
  • bold lies

and the top three ways consumers can avoid the greenwashing traps

  • shop at big box retailers (heavily scrutinized by media)
  • beware of the electronics, DIY construction product, toys & baby product, and household cleaning product industries in particular
  • look for trusted logos

This is very useful for your supply chain sustainability manager. Know what to look for before your customer finds it!

Green Marketing Exposed

Still Having Problems Making Ends Meet? The Onion’s Solution Is Still Valid!

Having trouble paying off your mounting credit card debt? Has the interest rate on your variable rate mortgage (on your still under-water property) become too cumbersome? Is that place in the Aspens stretching your budget now that your bonus is only a faded memory?

A classic article in The Onion archives has the perfect solution for you! Thanks to recent advances in quantum physics, primarily in hyper-dimensional string theory, you can now compute perpendicularly across the space-time continuum and take on a 4th shift!

The article quotes Labor Secretary Elaine Chao who notes that, for those lucky enough to have work, the maximum 24 hours of possible work time offered by our plane of existence is simply not enough to provide a living wage in the current economic climate, especially given the debt levels that many Americans are still facing and these difficult circumstances have compelled 76 percent of the American workforce to seek additional hours in an alternate space-time dimension, where more competitive pay can help them to avoid years of crippling debt.

I’m sure this option is going to become especially popular as jobs slowly return as those of us who have been out of work for 6, 9, or 12 months (or more) look for ways to quickly pay down the mounting debt associated with survival in these harsh economic times!


And if you think this article is insensitive, as the real unemployment rate in the working class is approximately 15%, then I ask why you aren’t doing anything about the relative lack of coverage the OccupyWallStreet movement, and similar movements around the world, are getting in mainstream media, which, as I write this, is literally more concerned with Kutcher‘s tweeting than the fact that many of these protesters will be freezing their buttocks off with the coming winter, which can get quite harsh in the northern climates. The 99% is reaching a level of poverty not seen in over a century, and the almost 15 to 1 earning ratio between the top-earning 20% of Americans and those below the poverty line (source: USA Today) is just ridiculous.

Inequality between rich and poor in the US is now more than in many “undeveloped”nations. Something’s just not right and something needs to change. And it should begin with limits on executive pay. The unconscionable ratio between CEO pay and worker pay in 2010 was 325-1. Three Hundred and Twenty Five to One! That’s absurd. There should be strict limits on how much a CEO is allowed to be paid and strict civil penalties on any organization that breaks them. I would propose a law limiting base CEO pay to a maximum of 10 times the average worker salary. If you’re average worker makes 20K a year, I would say it’s unconscionable that you get paid more than 200K. Bonus pay should also be limited as well, and should be a simple formula based on profit or year-over-year return and your salary. Say maximum (10% of profits, 10% year-over-year growth, 10 X your base salary) if there was profit or year-over-year-growth, or half of that if not. And if the corporation pays the CEO more, it has to pay a penalty of 10 times the CEO’s total compensation for greed and unconscionable distribution of wealth. What do you think?

The Basics of Information Technology Cost Management

It’s a simple five-step process:

  1. Get a handle on the TCO of IT to the business
    How many units have IT support staff? How much are you paying in maintenance and software licenses each year? How much are you paying in hardware leases and upgrades? What about consultants and outsourced support? The data center(s)? Hosting? And don’t forget the “device propagation” that results every time a new application is added to the data center or a CXO gets a new toy (like an iPad).
  2. Focus on the Cost Drivers
    Energy? Hardware? Software? Projects? Where’s the money going, and why? Treat the IT organization like it is a business and balance the supply and demand.
  3. Be relentless in Valuing IT services
    Examine the cost structure through the eyes of your customers and segregate functions and services into value-add and commodity categories and drive the associated costs accordingly.
  4. Be creative in meeting demand and sourcing work
    Examine the people, process, and technology infrastructure carefully to determine if there is a more cost effective way to deliver the necessary services.
  5. Bring in an expert to re-source the hardware, software, and support you need
    Don’t negotiate multi-million dollar deals on your own if you’re not an expert in IT systems and the current state of the market. If you try, chances are that you’ll overpay by a lot more than 10%!

Are You Strange Enough? (Repost)

This post originally aired four years ago (on Nov 30, 2007) and is being reposted because it complements Monday’s post by Dalip Raheja on The Difficulty of Finding Qualified Supply Management Candidates very well. In Dalip’s post, he noted that you will never find a good candidate if you can’t define what qualified is. And, if you want a successful organization, qualified needs to capture the skills you want talent to possess — and these skills are highly dependent upon the outcomes that you want. In this classic Wharton article, which excerpts part of chapter four of Daniel M. Cable’s book, Change to Strange, we are told that to get the best results, companies have to build a workforce “that is extraordinary in a way that customers care about” and the only way to do this is to build your organization around measuring and gaming performance drivers . In particular, around metrics that define what you want to capture. These metrics will define the skills you want your candidates to possess, which will in turn define what qualified means, and, ultimately, help you find the right candidate. Plus, in today’s crazy economy, how can you possibly hope to win if you’re not a little strange?

Browsing through the Knowledge @ Wharton site, which is another one of those sites (like the Economist) that is just as important as the supply and spend management sites you visit every day, I stumbled upon an article published this summer that asked If Your Workforce Is Strange Enough to Guarantee Competitive Advantage. It’s a very good question.

The article excerpted part of Chapter four of Daniel M. Cable’s book, Change to Strange that notes what characterizes successful companies these days is a “strikingly different, obsessively focussed” workforce, one that — compared to competitors’ workforces — is “downright strange”. More specifically, to get the best results, companies have to build a workforce “that is extraordinary in a way that customers care about”.

In the excerpted chapter, the author argues that a successful organization is built around measuring and gaming performance drivers – and this is what results in a strange workforce. The development, measurement, and enactment of the performance drivers is what provides the required insight into what the organization is creating, and not creating, that is required to differentiate it from its competitors, attract customers, and, most importantly, win.

The process starts by identifying the outcome metrics that provide a valid reflection of what you think your organization exists to create. Then you find a way to make these metrics move in a way that your competitors are not willing or able to pursue. For example, if you’re a procurement outsourcing organization, you might decide that what customers value most is spend under management and spend put through the system. If this was the case, then you’d find a way to integrate best of breed on-demand SaaS technology into your offering so that not only could you put every purchase you make on behalf of the client through the system, your clients could also put every purchase they make against the contract through the system. Then, used meticulously, your customers would find over 95% of their spend against a contract you cut on their behalf would be in the system and that their spend under management goes up as a result. If your competitors think that the most important metric is total leverage-based purchasing power, you’re in a unique position if you’re right as to what customers want.

It’s also important to answer each of the following questions when you believe you have identified an outcome:

  • What produces the number – and what makes it go up or down?
  • What are the two or three most important beliefs our customers need to have about us relative to our competition to affect this outcome? How do we measure our progress toward our goal of having these beliefs accepted by the majority of our target market?
  • How can we influence the outcome in a way that is valuable, rare, and hard to imitate? What are we willing to do that the competition is not in order to drive this outcome?

For example, if you were a procurement outsourcing organization, you might come up with the following answers:

  • Spend through the system is calculated as total dollars on contracted items spent through the system divided by the total dollars spent on contracted items. It goes up when maverick spend is down, and down when maverick spend is up.
  • The two most important beliefs a customer has to have is that we mean what we say and we eat our own dog-food. We do all of our spend through the system. We measure our progress towards this goal by determining the percentage of outsourcing deals we are getting invited to bid on versus the total number of outsourcing deals that are currently happening in the marketplace.
  • We can adopt an open book policy on our own spend, and let prospective clients (under NDA) access the system and verify that our claims are valid – and this is something our competition might not be willing to do. We can also offer an on-demand spend analysis solution to our clients as part of our service offering so that they can calculate for themselves how much spend goes through the system, how much maverick spend is happening in their organization, and what commodities or categories we should be handling for them.

Thus, even though it might be a little too academic for your tastes (as the book was written by an academic who used a Business School as the example – ick!), the article had a very good point and asked some very good questions once you isolated the core of its message. If you want to be the best, it’s not enough to just work harder and more productively than everyone else … you have to be just a little bit different … and maybe even a little bit strange.

Can SaaS Solutions Improve Supply Chain Network Quality?

A recent article over on Supply & Demand Chain Executive on a holistic view of quality described the four steps to applying a cloud-based solution to establish a quality supply network. In this post, we’ll review the four steps presented and then discuss whether or not SaaS (Software as a Service), because “cloud” is undefined and irrelevant, can really improve your network quality.

The author is correct in that a number of trends (including a greater reliance on component suppliers, outsourcing of subassemblies and offshore manufacturing) are dramatically changing the supply base and challenging the ability of brand owners to manage their supply chains and ensure quality. And the author is also correct when he states that access to data is unpredictable across the supply chain and this is a problem. If all you get is a number of reports that are incomplete, inconsistent formats after the fact, that’s just not good enough — especially if you need to interpret the data in real time to take effective, corrective, actions.

And he’s also right in that, when outsourcing (to far-flung locales), intermittent inspections are not enough. A quality trend analysis, built from the continuous monitoring of quality, is required. However, retesting after you get a delivery does nothing to insure quality of supply — it only prevents defects from reaching the consumer. And if this results in a stock out six weeks before Christmas, this could be devastating.

That’s why a quality supply network, which insures quality before product leaves the manufacturer, is required. According to the author, this is achieved by:

  1. Capturing the Data
    Extract as much data as you can from suppliers’ manufacturing execution systems and/or spreadsheets into a common format.
  2. Uploading the Data
    Aggregate, synchronize, and retain the data on common servers where the supplier and brand owner have secure access.
  3. Analyzing the Data
    to gain insight into quality issues and trends (in real-time)
  4. Gathering Insight from the Data
    by way of an intelligent, multidimensional pattern recognition tool that identifies the data clusters where anomalies and issues are

And, at least according to the author, the best way to do this is a cloud-based solution because manufacturers do not need to make significant IT investments to build a quality network and you can quickly bring alternate manufacturers online and monitor their product quality, ensuring the results you need and minimizing the impact to delivery schedules.

This is true, but he is making / implying a couple of incorrect assumptions.

  • Cloud offers no advantages over SaaS
    and, furthermore, you don’t even need to have a true SaaS application or have it externally hosted! You could have a traditional web-based solution in your data centre. As long as suppliers can easily upload their data or provide you web access to their data feeds, it doesn’t matter if it’s cloud, SaaS, or just web-enabled. As long as everyone who needs the data can get it when, and how, they need it, problem solved.
  • You don’t need a multidimensional pattern recognition tool.
    All you need is a good data analysis tool and a smart analyst — because no tool will ever be smarter than the analyst driving it. As long as she can build the cubes she needs, create the appropriate multi-dimensional reports, and capture trends — she’ll spot the issues.

In short, SaaS doesn’t improve supply network quality — real-time data sharing and analysis improves supply network quality. A SaaS solution can enable this, but it’s not always necessary and not a complete solution in and of itself (as you will always need a smart brand owner and smart analyst driving the solution).