As posted this past past Friday, each day this week I will be providing my take on the top 5 predictions for the year 2020 from Bob Lohfeld’s July 7th Washington Technology article aptly named 5 predictions for the 2020 market.
Today we tackle prediction number 4, technology.
Lohfeld’s prognostication: Virtual businesses will avoid brick-and-mortar costs, reducing operations costs and increasing their competitive edge. Mainstream companies will exist in virtual space with no physical offices. Cloud computing will be accepted as the norm, IT security protection will be expected, and IT infrastructure will be designed for virtual workforces. Both contractor and government workforces will telecommute, and geographic boundaries will diminish as virtual meetings replace trips to personal offices.
Once again the above prognostication says a great deal without actually providing any meaningful insight or substance as it reflects broad generalizations without getting into the mechanics in terms of practical application.
As I have often times referenced in this very blog, my background in application research as the architectural lead of an R&D team back in 1998 has provided me with a unique evolutionary perspective relative to technology. This includes the understanding that technology is not an island unto itself – a mistake that so many organizations have made (and continue to make), which has been another major factor in the high rate of initiative failures.
In fact, and sharing my own prognosticative insights, the following is the reprint of a post that first appeared in the Procurement Insights blog on July 4th, 2007. You will note that technology introduction is Step 3 in a 3-Step Process.
Your comments regarding the observations and their relevancy today should be interesting.
Dangerous Supply Chain Myths (Part 7)
Segment 7 – Enabling Technology: The Emergence of the Metaprise
- Enabling Technology
Technology is the key in the supply chain organization of the future. The right technology will enable enterprise-wide supply management, external supply chain visibility, and internal and external collaboration.
With this statement, the ISM, CAPS and AT Kearney report has provided the single most important reason why the majority of e-procurement initiatives fail.
In an article I wrote titled Technology’s Diminishing Role in an Emerging Process-Driven World, I made note of the change in focus expressed by procurement professionals attending my conferences. Unlike years past, where attention was predominantly centered on learning more about new and emerging technologies, today’s procurement professionals are seeking insights into the actual processes that drive their enterprises.
In essence, they are now looking at technology as a means of accelerating their processes versus defining them.
In his book Good to Great, Jim Collins even talked about the “Myth of Technology Driven Change” in which an organization believes that a “breakthrough can be achieved by using technology to leapfrog the competition.” And while Collins’ findings acknowledged the fact that technology does have an important role to play, he emphasized that in and of itself technology is not the reason behind an organization’s success.
Process Understanding and Refinement Drives Success
Between 2001 and 2005 75 to 85% of all e-procurement initiatives failed to achieve the promised results in terms of savings. Accentuated by high profile misses such as the automotive industry’s Covisint marketplace and the Veterans Health Administration’s 7 year, $650 million JD Edwards-Oracle misadventure, a dramatic change in thinking was bound to occur.
At the heart of this change is a growing realization of a fundamental truth that process and not technology is the driving force behind a successful e-procurement initiative. Specifically, it is through process understanding and refinement combined with the ability for technology to adapt to the way in which the real world operates that credible targets are established and ultimately met.
However, before you can understand and refine your organization’s procurement process, you must first understand the characteristics of your spend. This is the 1st and most important step in a 3 step process.
(NOTE: A copy of the 3 Steps to Success Flow Chart will be provided upon request)
Step 1 – The Importance of Commodity Characteristic Analyses
Over a period of 14 years (11 years from the point of identifying the existence of Historic Flat Line and Dynamic Flux characteristics) we have monitored commodity characteristics in an effort to properly align the purchasing processes organizations’ use to procure goods (and services).
Through this exhaustive exercise we have discovered that all commodities consistently fall into 1 of 2 categories – Historic Flat Line and Dynamic Flux. In the resulting paper titled Acres of Diamonds: The Value of Effectively Managing Low-Dollar, High Transactional Volume Spend I provide specific examples of each characteristic. (I would be happy to provide you with a copy upon request.) In the meantime the following is a brief overview of the difference between a Historic Flat Line and Dynamic Flux commodity.
A Historic Flat Line commodity is characterized by a static price performance where there are minimal cost fluctuations over an extended period of time. It is further accentuated by a “narrow” floor to ceiling price chasm. Direct Materials as well as specialty products such as scientific and medical equipment commonly exhibit Historic Flat Line characteristics. (Note: I want to emphasize that there are no absolutes and therefore temporary exceptions or circumstantial spikes as I call them do occur. For example, you may recall the impact that China’s missile practice over Taiwan in the mid-nineties had on memory prices – they went through the roof, albeit for a short time period. The findings to which I am referring are based on averages over an extended period of time.)Historic Flat Line commodities usually account for 80% of an organization’s overall spend and 10% of its procurement cycle time.
A Dynamic Flux commodity is characterized by a dramatic and consistent fluctuation in cost that is mirrored by a steady downward price performance over an extended period of time. It is further accentuated by a wide (usually significant) floor to ceiling price chasm. Indirect Materials and in particular MRO commodities commonly exhibit Dynamic Flux characteristics. Dynamic Flux commodities on average account for 15 to 20% of an organization’s overall spend, and 90% of its procurement cycle time.
Individual commodities within the Indirect Materiel ORM classification tend to exhibit both Historic Flat Line and Dynamic Flux characteristics.
The reason that commodity characteristics are important is that the absence of this knowledge has been a major contributor to both process and technological misalignment.
The Inherent Danger of a “Pull-Through” Strategy
The majority of e-procurement initiatives initially tend to focus on the high-dollar, low transactional volume spend within an enterprise. As a result most vendors have developed their solutions to manage centrally negotiated contracts that are combined with an aggressive supplier compression strategy.
However after lengthy implementation periods (usually involving a change management program), the anticipated and sustainable savings have rarely materialized to the point of justifying the original and ongoing technological investment. It is at this point that both process and technological misalignment occurs.
One example of process and technological misalignment is actually indirectly supported by a 2003 CAPS study on Reverse Auctions (let me know if you would like to receive a copy). The report’s findings stated that the organizations that had utilized a Reverse Auction tool indicated that their cost of goods savings diminished with each event so that by the 3rd or 4th auction there were no longer any appreciable gains in this area. The study did suggest that there would be potential process-related savings.
However, based on our findings that the procurement cycle time for Direct Material acquisition only accounts for approximately 10% of a purchasing department’s time, the ongoing savings were ultimately disproportionate to the software vendor’s licensing and maintenance fees. Therefore, and as a means of justifying the technological investment, most organizations tended to employ a transactional “pull-through” strategy whereby the entire enterprise’s spend (both Historic Flat Line and Dynamic Flux commodities) fall under one umbrella. Unfortunately the purchasing processes that apply to one type of commodity characteristic do not apply to the other – hence misalignment. This ultimately leads to the compliance and change management problems experienced by most organizations.
By applying the same purchasing process used for Direct Material (Historic Flat Line) procurement to Indirect Material (Dynamic Flux) commodities, the perceived volume discount savings are virtually negated within a very short period of time (in some cases almost immediately). This is one of the factors that fuel the buyer refrain that they can usually beat the centrally negotiated contract pricing with a single phone call to a local supplier.
And as was the case with the example I cited in Part 6 of this series, where the senior purchasing executive lamented the need to assign two full-time staff to making their PeopleSoft program work, leading with and relying upon technology to deliver efficiency and savings is a losing proposition. Especially when it contradicts the real-world processes under which your organization’s purchasing department operates.
Step 2 – Effective Process Alignment
Once a commodity characteristic analysis has been completed, you are in a much stronger position to review, understand and refine your current processes to maximize efficiency and savings. This 2nd step is what I refer to as the process alignment phase.
This is the point where stakeholder input (especially from your purchasing department and supply base) will enable you to lay a solid foundation to evaluate both current and proposed technologies. Besides eliminating compliance associated challenges, you will be able to know exactly where and how technology can be utilized to deliver savings. Of equal importance is that you will also be able to accurately project realistic savings and therefore gain an important edge in negotiating licensing fees that will be commensurate with the expected results.
As illustrated in the 3 Steps to Success Flow Chart, Direct Material (Historic Flat Line) commodities are best procured utilizing a centrally negotiated contract whereby volume discounts can be leveraged and strategic supplier relationships established and monitored.
Conversely, with Indirect Material (Dynamic Flux) MRO commodities, the best method for procurement is through reliable, real-time access to a dynamic market in which the largest number of potential suppliers are engaged.
Through a Cross Verification mechanism, buyers can simultaneously access data from both spend categories to confirm that best value decisions are made for each and every purchase.
As indicated earlier, the key here is that once your organization’s processes are understood, refined and aligned you will be able to evaluate technologies that will accelerate the procurement process rather than define it.
Step 3 – Effective Technological Alignment
In their 2001 book, The Seven Steps to Nirvana: Strategic Insights into eBusiness Transformation, authors Mohanbir Sawhney and Jeff Zabin discussed the emergence of the Metaprise and in particular its impact on enterprise application development. Sawney and Zabin referred to it as meta-enterprise software development. I would strongly recommend that you read the book as it provides a useful hindsight perspective that is both interesting and informative.
In short a Metaprise is a synchronized versus sequential architecture (private hub) that simultaneously links or incorporates the unique operating attributes of all transactional stakeholders on a real-world, real-time basis. This is a far cry from the “near” real-time capabilities of the much touted Service Oriented Architecture (SOA) which links disparate systems or processes often referred to as the “loose coupling of services.”
Motivated by the identification of the 2 commodity characteristics (in particular the Dynamic Flux findings), I began to investigate the potential to utilize advanced algorithms in 1998 as a means to both accelerate and increase purchasing autonomy on the front lines while still adhering to centrally established objectives. In short, although I did not know it at the time I was working to develop a meta-enterprise application.
Throughout the research period (which was partly funded by the Government of Canada’s Scientific Research and Experimental Development – SR&ED program), we consistently looked for ways in which a buyer could reliably procure commodities on a real-time basis outside of the confines of a centrally negotiated contract. To do this effectively, the buyer would have to simultaneously engage key stakeholders such as suppliers, courier companies and customs brokers – enter the Metaprise. Given the fact that off-contract procurement was at epidemic levels (which negatively impacted both the buying organization as well as an increasingly skeptical supply base) it was essential to lessen rather than increase the purchasing cycle time. This was a critical component in that we wanted to eliminate the compliance issues that had plagued so many initiatives (as it still does today). By August 2003 a full production program was introduced and successfully tested. (In the test case, a major public sector organization realized a 23% cost of goods savings annually over a period of several years, while simultaneously reducing the number of buyers required to manage the contract to 3 from an original 23. Delivery performance and product quality also improved dramatically.)
What is important here is not the software (although it is now available through a variety of resellers), but the fact that unlike traditional applications, which have origins in either a finance (ERP)-centric or IT-centric initiative, the technology was introduced after the Commodity Characteristic Analysis and Process Alignment steps were successfully completed. This meant that the technology was the final step in the process. As a result, it adapted to the real-world processes of the client eliminating the need for an overarching, long-term implementation period. It also cost a fraction of the price of traditional applications, thereby producing a realistic ROI. This is enablement in its truest form.
Tomorrow’s post: Transportation