Invoking Innovation In Your Organization Internally

Supply Management magazine recently ran a great piece on innovation from the head of SRM at Best Buy Europe (where they might have it together better than Best Buy USA where you are not likely to get a Best Buy Experience) on “Creative Industry” where he described the difficulty of jump-starting an innovation initiative in an organization which has not been innovative in a (very) long time.

In the article, he detailed and exemplified an eight step process which is a good starting point for anyone trying to get in an innovative mindset.

  1. Lose the Fear
    Of being judged. Of disappointing others with your idea. Of just plain doing something different. Jamie says to be childlike in your approach and embrace the initiative with excitement. And if that don’t work, and it’s not against your religion, start with martini hour. Inhibitions are bad for innovation.
  2. No Idea is a Bad Idea
    It might not be the right idea for the organization, but it doesn’t mean it’s necessarily bad. In different circumstances, it could be a great idea. All ideas should be captured, and explored, at the right time, in a search for a better idea.
  3. Understand the problem.
    What is the issue? What is the objective? It’s the measurement stick for any idea you come up with.
  4. Diversity is King
    Have both experts and novices in the room. Make sure the novices are not afraid to ask “why can’t we do this”. Sometimes opposition is just knee-jerk. When there is no rebuttal to the question, you’re on the right track.
  5. Get Visual
    Draw. Illustrate. Sculpt clay if you have to. Make a prototype out of cardboard and play-doh. Whatever gets people thinking differently enough to actually innovate.
  6. Safe Environment
    Everyone is equal. No idea is bad. Freedom to speak up and speak out during the brainstorming process. Keep it out of management offices where positions of authority are implicitly conveyed.
  7. Subdue the subconscious
    It has default knee-jerk reactions to everything and default knee-jerk visualizations for every concept and pre-assigned meanings to every word. This gets us through the day, but is not always good where innovation is concerned. (Of course, if you start with martini hour, this may not be much of a problem. 😉 )
  8. Be Committed.
    Almost to the point where a conservative middle manager (who doesn’t understand the importance of relentless innovation) wants to have you committed. It takes a lot of effort to get an innovation project rolling, and even more to keep it rolling until the first positive, revenue-producing, output is produced.

This is a really great starter list and Jamie’s article on “Creative Industry” is really good. Take 5 minutes and read it end-to-end. It’s worth your time.

Can You Detect Greenwashing?

Can you detect when a supplier is Greenwashing their product or service? Are you sure? Did you take part in Earth Hour? You did? Guess what! You probably can’t detect greenwashing!

Earth Hour, another stupid marketing gimmick supposedly designed to get the message out about responsible energy usage, actually encourages the exact opposite by telling everyone to stop using power — at the same time — for one hour. Then, at the end of the hour, everyone — at the same time — turns their lights, tvs, and washing machines back on. This is the kind of action that can bring down a power grid, and, guess what, cost more energy then is saved in some cases. (Very little energy is actually saved, by the way. Less than an hour’s worth of lights or TV. You know why? When the hour is over, people are still going to do their laundry. They are still going to cook in their ovens. And they are still going to use whatever power hungry toys they have in their house.)

If you were a power engineer, you’d know that grids are designed to work where energy requirements are at rather constant levels. Basically, in laymen’s terms, whatever is put on to the grid has to be taken off, or the grid will blow. Similarly, if too much energy is taken off too fast, the grid can blow too. If power usage all of a sudden drops 50%, sometimes entire plants have to be rapidly taken off-line. (Which can be a problem if you have a nuclear plant in the mix. You just can’t shut one of those down on a whim!) This wouldn’t be a problem if it wasn’t for the fact that it takes a lot of time and energy to start up certain types of power plants. Water may turn turbines on its own when they are placed in a waterfall thanks to gravity, but sometimes a kick is needed to start a wind turbine. And coal burning plants don’t start up at the flick of a switch. It takes thousands of households turning off tvs and lights to equal the power required to start a small power plant. Imagine the power wasted shutting down and starting up a large power plant in one hour.

But I digress. As per the Sins of Greenwashing, maintained by TerraChoice, only 4.5% of products in 2010 were sin-free. Only 4.5%! The average claim is stretched so far from the truth that it’s only basis in reality is that the words used to describe it are part of the English language (most of the time). This is important to keep in mind with Earth Day coming up in two weeks and marketing folks getting ever more keen to tap into all the hoop-la that it entails. (Not that Earth Day is bad — just the marketers who try to sell non-green products and services as green.)

So how do you detect greenwashing? Familiarize yourself with the “10 Signs of Greenwash” developed by Futera and documented in this guide on Understanding and Preventing Greenwash co-developed with BSR. In brief, they are:

  1. Fluffy Language
  2. “Dirty Company”
  3. Suggestive Pictures
  4. Irrelevant Claims
  5. Best in Class
  6. Just Not Credible
  7. Jargon
  8. “Imaginary Friends”
  9. No Proof
  10. Out-Right Lying

There’s No Such Thing As BIG Data in Business

I’m getting sick of all this talk about “BIG Data” which is nothing but Bullshit In Guise. The marketing mania has gotten more ludicrous than Ludacris so I’m not sure where to begin at this point, but let’s start with the basics.

  1. Data has always been big
    We’ve always had more data than we can process in real-time, or even in the time window that we want it processed. ALWAYS. Since we’ve always been able to store more data in physical / external storage than we can store in memory, we’ve always had more data than we can process in “real” time. Quod Erat Demonstrandum.
  2. In Business, Big has always been meaningless.
    We’re not doing protein folding, climate modelling, nuclear simulations, supercollider data interpolation, cosmological computations, or even trying to beat Deep Blue at Chess. We don’t need Deep Thought, HAL, or even The Architect to solve an average business problem which can probably be solved on the iPad 3 most of you are now carrying around.
    The reality is that even though you may have 100 Million transactions in your ERP, you don’t need to analyze them all at once. Analyzing all of your spend at once is akin to comparing your DVD Player to the kitchen sink to an apple. Does that make any sense? (It doesn’t. And if it does to you, please seek professional help.) Real insight comes from analyzing heterogeneous and related data, possibly through federation, and not from throwing everything into a number cruncher to see what comes out. You wouldn’t ask for the average temperature on earth over the course of a year would you? (And that’s exactly what you’re asking for when you ask for the average transaction size across your business which will include a $4.99 ream of paper to refill the printer to a $200,000,000 acquisition of a new steel plant.)
  3. If you’re smart about your technology acquisition,
    you can already analyze and drill-down into tens of millions of transactions in real time on an average quad-core laptop with 8GB of memory. You will have to get a product coded in C/C++ to take full advantage of the 128 Billion Instructions per second you can get on an Intel Core i7 2600K (as something programmed in an interpretive language like Ruby on Rails will go through so many layers of translation that you’ll be lucky to get 128 Million Instructions per second dedicated to your computations), but the reality is that we now have way more speed than most platforms can take advantage of because, in our quest to not only build cross-platform apps, but teach people to code as quickly as possible, we’ve lost the art of lower-level coding and optimizing an analytics engine to be as fast as possible.

There are “big” data problems, but they don’t exist in business. They exist in some of the areas I mentioned earlier, and that’s why we’re working on exa-flop super-computers, but not in business. Furthermore, your data problems scale in comparison to the data problems coming down the pipe with DOME, a collaboration between IBM and Astron to build a next generation radio telescope, known as the Square Kilometer Array (SKA), that will collect more data in a day than currently exists across the entire internet, factoring in the massive amounts of adult entertainment and multi-media content hosted by public file-share servers. You don’t have big data problems, and if some analyst, consulting, or technology firm tries to tell you that you do, they are talking out of their donkey.

And just so you know, if you have data problems, the cloud, which is NOT a magic mirror (but still full of sweet fluffy dreams for those who choose to join Coleridge in Xanadu), is NOT going to solve your problem. Pushing your data out to random servers on the internet with no IO, no bandwidth, and no computational guarantees is only going to exacerbate your situation. (The Cloud is cheap because most of the servers have less power than the iPad 3 and most of the low-cost providers give you no performance guarantees. If you want performance, power, and pipe – be prepared to pay three to thirty times as much [relative to a server’s useful life] as just buying a high-end server and sticking it in the janitor’s closet where you just happen to have a fiber feed. [A surpising number of small and mid-size non-technical business have their network feeds going into what should be the janitor’s closet because they think it’s a fit place for a server. Why, I don’t know. But they do!])

Open Up Your Supply Chain With E2Open

Today is the official launch of E2Open‘s new Collaboration Center, E2Open Version 8.0. The focus of this release are their new supply dashboards with real-time KPIs, predictive analytics and exception notifications designed to allow an organization to manage its global trading network across multiple supply tiers.

E2Open was founded in 2000 with the vision to provide supply chain managers visibility into their entire supply chain network — beyond just the first tier of suppliers because problems often start with your suppliers’ suppliers and your suppliers’ suppliers’ suppliers. Getting visibility into a late shipment or raw material shortfall as soon as it happens gives an organization time to find an alternate supply or alternate go-to-market strategy, as opposed to finding out the day after your supplier was supposed to ship. Since then, E2Open has gone through multiple versions of its platform and its E2open Business Network (8 to be precise) and now offers solutions in Collaborative Supply Planning, Demand Management, Logistics Visibility, Order Management, Inventory Management, and B2B Managed Services with a customer list that includes Blackberry, Dell, FoxConn, Hitachi, Motorola, and Seagate to name a few.

However, today we are only going to focus on its new collaborative platform and its supply management dashboards to be precise. Why would I do such a thing, especially since I repeatedly claim that Dashboards are Dangerous and Dysfunctional in full agreement with Robert D. Austin? Because the reason they are dysfunctional is that they lull you into a false sense of security when you see a lot of green. As I said in SI’s now classic post:

a dashboard can not tell you how well you’re doing … the best it can do is capture the data it’s been programmed to capture, roll-up the metrics it’s been programmed to roll up, and do the built in calculations of efficiency based on those roll-ups.

As a result, even if it tells you that 90% of spend is “on contract”, that doesn’t mean it is. It won’t tell you that 10% of spend has been misclassified under the wrong code and is being reported as on-contract when it’s really, really not. The truth is that:

a dashboard can only provide an upper bound on how well you’re doing, and this is useless. Reporting that my efficiency is at most 98% when it is in fact 92% is useless and unactionable.

However, if the goal is reversed from trying to tell you how well you are doing, and giving an inaccurate upper bound, to how poor you are doing, and give an accurate, minimal lower bound, it becomes useful. And if you can then define metrics such as inspected orders, reviewed invoices, verified shipments, etc. and report on the uninspected orders, unreviewed invoices, and unverified shipments (etc.), then you not only know everything that’s wrong but how many dark corners could be holding problems waiting to materialize but where to look when the problems you know about have been solved.

And that’s why E2Open’s new dashboard, developed in HTML5 and available through your browser, is useful. Not only does it provide deep, near real-time insight into your global supply network, with data aggregated across the multiple tiers of your supply network as fast as the platform can get access to it (which is real-time if the suppliers are using a modern supply management system with real-time query / export capability or once a day if the supplier is still on an old ERP/MRP that does a daily export in CSV to a secured FTP directory), but the drill-down dashboard can be configured to display whatever KPIs and metrics you want, however you want.

You can choose the standard indicators that show that 98% of your orders are expected to ship on time, based upon tier-1 and tier-2 suppliers shipping their components and raw materials on time, or you can invert it and show that 2% of your orders are late. Every metric can be reversed and you can filter what is displayed. So, if you want, you can set it up to show ALL RED and just show you

  • all the problems the system has identified that need an investigation and/or resolution and
  • how many records, products, shipments, etc. have not been manually reviewed, tested, verified as this will tell yo exactly where problems could be lurking and, if the count is high, where more oversight might be required to prevent new problems.

It’s not the standard configuration, but it is supported — and the ability to razor sharp focus into issues two levels down into your supply chain within 24 hours of your supplier’s supplier reporting a delay is fantastic. And, unlike most “dashboard” products, they support the creation of multiple public and private “dashboard” pages, at different levels of visibility and granularity, to allow each user to track all KPIs, metrics, and issues relevant to them. It’s not trying to be a one-size fits all solution because E2Open recognizes that, in supply chain, one size does not fit all.

Furthermore, 90% visibility at each tier is possible very quickly as they have done over 400 ERP / MRP / Supply Chain system integrations to date and can on-board suppliers on all of the major platforms very quickly. And they even have the ability to do trending and predictive analytics to identify where problems might occur — which is useful when you know that somewhere in a certain data blackhole there is likely an issue but are unsure where to start.

E2Open’s new release is worth checking out. The platform strives to give you a single version of the truth across your supply network and does a good job at doing it. And the inventory management / collaborative forecasting drill down capability is just as detailed as some of the best inventory solutions on the marketplace.