Showing posts with label enterprise. Show all posts
Showing posts with label enterprise. Show all posts

15 April 2010

Strategic Alignment of Information Technologies – Part 3

The Income Statement

A company’s income statement[1] is a financial report that tells us what transpired over a range of dates that led to either profit or loss for the organization. Just like we have laid out balance sheet numbers side-by-side for easy comparison, we can do the same thing with income statement figures, as well.image
By looking at ABC Widgets Manufacturing’s Income Statements spreadsheet, one might immediately note that year 2004 was a very good year for the company. The firm made PBIT (profit before income taxes) of $126,000 on sales of $8.1 million. Revenues for 2004 were nearly $850,000 more than the average in years 2005 through 2008.
Of course, one cannot help but notice that NPAT (Net Profits after Taxes) declined dramatically between 2004 and 2007, where it reached its nadir of only $2,000. Things were not much better in 2008 where it rebounded to only $9,000 on more than $7 million in revenues.
Once again, these are interesting observations, but it is still hard to tell – at a glance – the management implications of some of these numbers. What might help us would be looking at some of the working relationships (ratios) between various numbers supplied to us from this historical data.

Ratio Analysis

Ratio analysis allows us to look at a set of calculated values – calculated from the underlying data we have just reviewed – in order to assess more quickly our organization’s positions and trends relative to
  1. Solvency
  2. Safety
  3. Working Capital
  4. Profitability
  5. Asset Management
image

Solvency Ratios

Current Ratio = Current Assets / Current Liabilities  Interpretation: Higher is better
This ratio simply tells you, at a glance, how many dollars your organization has available in “current assets” to meet the demands of “current liabilities.” As we can see, in 2004, ABC Widgets had a little over $2 ($2.05) in current assets to satisfy every dollar in current liabilities. However, by 2008, that number had dwindled to only $1.35 to cover every dollar in current liabilities.
Quick Ratio or “Acid Test” Ratio = (Cash + AR + Marketable Securities[2]) / Current Liabilities  Interpretation: Higher is better
The Quick Ratio is referred to as the “acid test” of solvency because it looks only to the firm’s most liquid assets to meet the requirements of current liabilities. In 2004 our sample company had nearly 80 cents to satisfy every dollar in current liabilities. By 2005 that number had fallen to only about 50 cents for every dollar in current liabilities and has remained almost unchanged since.

Safety Ratio

Debt-Equity Ratio = Total Liabilities / Equity  Interpretation: Lower is better
The intent of this metric is to indicate the ability of the firm to withstand adversity (from a financial perspective only, of course). It may be understood as the “risk” metric, so the higher the value, the higher the risk. Over the five years we are considering here, this firm allowed its Debt-Equity (D-E) ratio to drift well above 1.30 at times, but has recovered to the present 1.37. The “1.37” means that the firm owes $1.37 for every dollar it has in equity. Therefore, in the midst of adversity, even if the company could not meet its obligations from current assets, the firm’s equity could likely step up to help meet the challenges.

Working Capital

Working Capital = Current Assets – Current Liabilities  Interpretation: Lower is better
Working Capital is the spread (in dollars) between current assets and current liabilities. It measures how many dollars the firm has tied up in its supply chain. In general, it is better to reduce this number. Organizations with higher cash velocities tend to have less cash tied up in their supply chain.[3]
Cash Conversion Cycle = Inventory Days + AR Avg. Days – AP Avg. Days  Interpretation: Lower is better
An organization’s Cash Conversion Cycle measures how long – how many days – cash is tied up in the supply chain on average. Again, fewer days in a firm’s Cash Conversion Cycle is better because it is indicative of one or more of the following:
  • More rapid inventory turnover
  • Improved AR average days-to-pay
  • Faster payment of AP vendors[4]
[To be continued]
©2010 Richard D. Cushing

[1] Sometimes referred to as a “Profit and Loss Statement”
[2] In our examples, the firms have no marketable securities.
[3] Some speed-demon companies even manage to have “negative” Working Capital through special supply chain arrangements.
[4] Only vendors that supply inventory or other product-related services should be included in calculating AP Average Days to Pay.

14 April 2010

Strategic Alignment of Information Technologies – Part 2

Setting Strategic Goals

Leveraging Technologies for Sustained Competitive Advantage
What makes new technologies valuable to a business?
  • Answer: In general, the ability of the technology to contribute to a sustained competitive advantage[1] is what makes it valuable to an enterprise.
What about a new technology allows it “to contribute to a sustained competitive advantage”?
  • Answer: Scarcity – the less available it is to your competitors, the larger will be your advantage in leveraging it
  • Answer: Innovation – the more innovatively your organization applies specific technologies, the less likely your competitors will be able to achieve the same results or benefits
Consider the example of steam engines. When steam engine technology became available, for those that had direct access (e.g., they could afford to buy steam powered equipment), steam engine technology gave them a significant advantage over competitors that could not pay the entry costs to gain access to that technology. Similarly, those that did not have or did not require direct access, but could benefit from indirect access (e.g., they could afford to ship goods faster on steam ships or by steclip_image002am locomotive), also had a significant and sustained competitive advantage over their competitors that had no such access to the new technology.
Basic Information Technologies
Today, information technologies provide only the following basic services:
  • Data capture
  • Data storage
  • Data processing
  • Data retrieval
  • Data transportation (communications)
Since none of these basic IT services is any longer scarce, simply applying the technology in a routine sort of way – as a “copy cat” – cannot provide any long term competitive advantage to your organization. In all likelihood, applying IT in typical fashion will provide no competitive advantage at all.
At best, applying non-scarce technologies in a way that simply matches your competition might help you take your firm from “failing” to “competing” (see accompanying diagram), but such an application of technologies could not, in itself, take your business from “failing” to “leading.”
Strategic Planning Begins with Understanding Where You are Today
Since most organizations begin planning their strategies based on where they have been and what they already know, they generally turn to their in-house history-keeping systems – that is, their accounting applications.[2] We, too, will begin our journey by looking at a sample company’s historical information and considering some of the implications of the data presented.
The Balance Sheet
As many of you already know, the Balance Sheet is a “snapshot” of a firm’s financial position with regard to three categories: 1) Assets – what the company owns, 2) Liabilities – what the company owes, and 3) Equity – the difference between the value of its assets and its liabilities or what it owes to its investors.
image
In preparing our strategies for fiscal year 2009, our company “ABC Widgets Manufacturing” is looking back over five years of history. The organization has a balance sheet with a little less than $3.7 million in assets, about $2.1 million in liabilities, and $1.55 million in equity. With a quick glance over the spreadsheet we’ve laid out, one might notice the following:
  • While total assets have remained fairly steady over the last five years, cash has shrunk by about 15% (down from $102,000 to $85,000) and accounts receivable are also diminished slightly.
  • The company has invested significantly in the following assets over the five years we’re reviewing:
    • $590,000 in land and buildings
    • $354,000 in equipment
    • $97,000 in furniture and fixtures
  • Short-term bank notes payable have zoomed from $211,000 to $589,000, an increase of $378,000 or about $95,000 per year (average).
  • Accounts payable have also increased about 34% between 2004 and 2008, moving from $558,000 in 2004 to $750,000 in 2008.
While these are interesting facts in themselves, they really tell us very little about what might be good or bad about operations in general. So, let us turn to the same company’s Income Statements between 2004 and 2008.

[1] “Sustained competitive advantage” is a relative term. In some rapidly evolving industries an advantage of six months or a year may be enough. In other industries, perhaps “sustained” would be an advantage lasting a year, two years, or even longer.
[2] We call accounting systems “history-keeping systems” simply because that is what accounting really is – it is the fiscal record of your organization’s historical transactions. While the historical data may be used to produce forecasts and budgets of various kinds based on purely historical data or upon a combination of history and “forecasting parameters,” the accounting system is useless in actually connecting “forecasts” with the actions required to achieve those forecast results.

[To be continued]

©2010 Richard D. Cushing

13 April 2010

Strategic Alignment of Information Technologies – Part 1

The Changing Role of Information Technologies
Fewer than 50 years ago (in 1965), U.S. firms were investing less than five percent (5%) of their capital budgets in information technologies (IT). By the early 1980s, about 15% of capital expenditures in U.S. companies were going toward IT. A decade later (the 1990s), U.S. firms had doubled that number and were making capital investments in information technologies at a rate of about 30%. By 1999, in fear of significant failures due to the feared “Y2K problem,” U.S. firms were investing in IT at a rate approaching 50% of all capital expenditures. Even today, due to the challenges of competing in an unmistakably global economy, U.S. companies continue to invest huge dollars (about $2 trillion every year) in new information technologies.

By the mid-1980s, the increasing power of the (then) new Personal Computer (PC) was putting computing power within the reach of the pocketbook of even the smallest “mom-and-pop” operations. There seemed to be a growing consensus amongst managers of every ilk and in every trade and industry that, “If I could just get my computer systems to collect enough data about what my business is doing and how it’s doing it, I could manage flawlessly.” Some companies have been investing in information technologies, sometimes without much more thought about the investment than the underlying fear that if they did not invest in technology, they would somehow be left behind entirely.
Underlying Assumption
As the power and pervasive presence of information technologies have increased, many executives and managers have simply made the assumption that the strategic value of IT has increased right along with it. Some have made this assumption based more on what they see everyone else doing than upon any actual analysis within their own organization or upon any actual effort to align IT spending with strategic or tactical gains.

This willy-nilly approach to IT investment has been somewhat underwritten by the fact that many small businesses have no actual strategic planning mechanism in place anyway. The organization’s planning about the future or thoughts about how to attain certain future goals may still be contained wholly or in substantial part solely in the head of the owner (and maybe a handful of key managers).
Making the Leap from Entrepreneurial to Enterprise
One of the things that occurred in the late 1980s and through the 1990s was a relatively sustained period of economic growth in the United States. Fed directly or indirectly by the rapid opening of both domestic and global markets accessible via the Internet, there were thousands of new start-ups. Many of these new entrepreneurial organizations found rapid acceptance and grew at startling rates from miniscule one or two person operations to firms that employed hundreds or even thousands.

One of the challenges faced by owners and managers in organizations that find themselves forced to transition from entrepreneurial to enterprise is the discovery that what worked effectively when managing an organization with 15 or 20 employees in a single office may not be effective in an enterprise with 1,500 employees scattered geographically. Entrepreneurial managers were finding themselves forced to somehow capture the “tribal knowledge” resident in key personnel who still carried the vision that had led the organization to its initial success. Many times, the “tribal knowledge” was most easily captured and codified into “business rule” within new IT systems.

This series is intended to help executives and managers – whether or not your organization presently has a standard method for setting strategic goals – to establish some effective operational goals; to quantify the expected results as forecasts based on the goals; and in the final step, to offer some ideas about how budgets might be established and new technologies engaged to help achieve the firm’s goals.

[To be continued]

©2010 Richard D. Cushing

09 November 2009

The New ERP - Part 2

So, what's wrong with traditional approaches to ERP? Why do so many ERP implementations lead to disappointing results? Why do so many companies spend so much money on new technologies and then end up reaping so little return on their investment?

Failure No. 1: Not achieving the planned return on investment (ROI)
It remains today a regrettable fact that many small to mid-sized companies considering new technologies have only the vaguest of notions about the ROI that their new investment should deliver. This is not to say that executives and managers haven't thought out ROI, or even that they may not have already "pinned a number" on the ROI that they'd like to see from the expenditure of their time, energy and money.

What they do not know -- far too frequently -- is precisely how the new technology will deliver results. They have not tied the expected results to specific improvements in Throughput, specific reductions in Investment, or specific savings in Operating Expenses. Rather, there appears to be a general consensus among executives and managers -- despite considerable evidence to the contrary -- that investments in information technologies (IT) sort of auto-magically deliver a return on investment (ROI). That, somehow, IT and automation investments bear an inherent capacity to make the company better and more profitable.

Over the more than 25 years that I have been working with IT from both sides of the desk -- as an executive and as a consultant -- there have been fewer than a handful of companies with which I have worked that actually calculated an ROI for their investment in technology. Fewer still had any measurable objectives for specific IT investments beyond some number clearly picked from the air like "increase revenues by 5%" or "cut manufacturing costs by 7%." Almost none of these firms could tie specific technology functional deployments to the expected ROI.

Given these facts, it is no wonder that traditional ERP (Everything Replacement Project) fails to deliver ROI. The executives and managers deploying the new ERP have not based their ROI expectations on much more than "gut feelings" and some vague sense that having more data will make them better managers.

Failure No. 2: "Go-live" delayed inordinately
Substantial delays to "go-live" in Everything Replacement Projects (traditional ERP) are generally attributable to one or more of the following factors:
  • Poor decisions related to customizations or modifications -- when they are selected; how the program code is designed, developed and managed; and the methods chosen for testing and deployment

  • Executive management's improper view of the goals and objectives of a valid ERP project -- thus leading to out-of-control scope creep, usually with absolutely no correlation to project ROI

  • The organization being overwhelmed by an Everything Replacement Project -- rather than being focused on leveraging specific technologies for the benefit of the "system" (i.e., the organization) as a whole
[To be continued]

Contact me!

...

06 November 2009

The New ERP - Part 1

Unfortunately, the trade press has been rife with horror stories describing ERP (enterprise resource planning) projects that have gone off-track or failed entirely. The stories have gone on for well more than a decade and, although the number seems to be decreasing, in part that decrease is due to the smaller number of companies actually making their first leap in ERP solutions.

In a KPMG Canada survey from 1997, more than 61% of the respondents deemed their ERP implementation as less than a success. Four years later (2001), a Robbins-Gioia survey found that 51% reported their ERP implementations were not successful. And, Bob Lewis, writing in InfoWorld has suggested that only about 30% of ERP implementations are actually considered "successful" by some measures.

It appears that traditional approaches to ERP software selection, planning and deployment have, by almost any measure, proven to be capable of delivering any sustainable business advantage in fewer than half the reported cases.

In the following series of posts I will begin introducing what I believe to be a radical new approach to ERP, an approach I call Extended Readiness for Profit -- The New ERP. The results of this approach on the working relationship between business (financial) goals, measurable business objectives, and new technologies include:
  1. A holistic view of the enterprise that encompasses its people, its processes, its products and services, its trading partners, and its technologies

  2. Clarity and focus on finding and making the changes in the organization and supplying technologies when and where they will deliver a sustainable business advantage

  3. Concepts that help executives and management in the organization establish sound budgets for each key component of any technology initiative based on calculated and measurable benefits expected to flow from the implementation

  4. Sound techniques that will help executives and managers unlock the enterprise's "tribal knowledge" in order to leverage what the organization already knows in a process of ongoing improvement (POOGI)

SOME DEFINITIONS
  • Revenues (R) - We will employ the standard accounting definition of revenues or sales where this term is employed.

  • Truly Variable Costs (TVC) - Here we include only the costs involved in producing a unit of Revenue that truly variable with the unit of Revenue. Typically, TVCs include direct materials, subcontract or piece-rate labor, commissions, royalties, other outside services, and so forth. However, since normal employee labor is not directly variable with a unit of production, production labor is not included in TVC calculations.

  • Throughput (T) - Throughput is equal to Revenues less Truly Variable Costs, as in the formula: T = R - TVC.

  • Inventory or Investment (I) - In most inventory-based enterprises, the most volatile form of investment is inventory. However, since a key component in the calculation of ROI (Return on Investment) is the value invested, we will not limit discussions of "I" to only inventory.

  • Operating Expenses (OE) - Operating Expenses is all the money the organization pays out day-after-day, month-after-month to support the production of Revenues. Since most employees -- even so-called "direct labor" employees -- are paid on this basis (i.e., they are not sent home early if work is slow; they are seldom laid off; they get paid the same whether their work unit produced 100 widgets or 1,000 widgets in a given period of time). If Revenues are down in a given month, for example, chances are the payroll amount was the same (within a few percentage points, anyway).

  • Return On Investment (ROI) - As with Revenue, the traditional calculation method may be used. However, for clarity and for improved accountability, we will link specific initiatives to specific measurable results. Therefore, when considering any specific POOGI initiative, we calculate ROI for that initiative using the following formula:

    If no change in Investment (I) is required, then a simpler formula may be applied:
  • Net Profit Before Taxes (NPBT) - Our definition will be equivalent to the general accounting definition, but calculated using the following formula:

    NPBT = R - TVC - OE

    Or, since T = R - TVC, we may substitute and shorten the formula to read:

    NPBT = T - OE

[Next time: What's wrong with traditional ERP approaches?]

Contact me!

...

05 November 2009

The danger of "We know!" - Part 3

In this portion of our series, we're going to talk about how to put a "framework" or "theory" around what you already know about your business enterprise. This is not an exercise in "business theory." This is a real and practical approach to gaining effective control of your enterprise after (perhaps) years of "muddling through" with more or less mediocre results.

One of the reasons executives and managers are not able to really "understand" what they "know" about their own organizations is that, since they are unaware of a "tool set" to aid them, they never actually put what management "knows" (we call it "tribal knowledge") about how their organization works -- or doesn't work -- on paper. Therefore, in the absence of such a written document, the managers themselves cannot read and re-read their own logic about cause-and-effect relationships that flow throughout their enterprise.

Our mind makes thousands of assumptions about what we think we know. Our mind processes these assumptions and incoming information so rapidly, we are unable to filter out our incorrect thinking or invalid assumptions adequately. Putting our thoughts down on paper helps us step through the logic that is leading us to certain conclusions.

Equally important, however, is that fact that, if we never get our reasoning down on paper, it is nearly impossible for us to invite others to truly analyze our logic -- to critically review our logic -- in an effort to help us bring about lasting improvement. As a result, not only do we not realize that we have flaws in our thinking about what's happening in our organization, others who might bring beneficial insights to our aid cannot do so because they, too, cannot help us find the flaws in our rationale. This inevitably leads to the fact that these undiscovered flaws in our thinking about how our organization really works -- or does not work -- remain embedded in our decision-making processes.

The good news is that there is an outstanding set of tools that are readily accessible, easily understood, and relatively simple to apply that will help executives and managers lay hold of "tribal knowledge" and reduce it to an understandable framework (or "theory") about how their organizations function in a real and practical way. Others that have applied that tool set have said things like:
  • "I have never seen my business so clearly before."

  • "We truly understand our business for the first time."

  • "This process has helped us regain a sense of control over our enterprise."

  • "For the first time in a long time, we are empowered to move proactively toward real, lasting improvement."

  • "We now have a consistent framework for diagnosing problems and planning for improvement."
What is this simple, yet amazing, tool set for executives and managers?

It is simply the TOC (Theory of Constraints) Thinking Processes as developed by Eliyahu Goldratt, a suite of logic trees that provide a simple, yet effective, road map for diagnosis and change.

So, continue to say, "We know!" and miss out on the opportunity for real, practical and sustainable improvements to your enterprise, or discover a whole new, easy-to-use and effective tool set for starting down the road to ongoing improvement.

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04 November 2009

The danger of "We know!" - Part 2

In Part 1 of this series, I discussed how many executives and managers fail to reap benefits from new methods and ideas -- especially if these new methods and ideas arrive in the form of a "consultant" -- simply because these executives and managers believe that the already know what can be known about their organizations and their industries. This prevents many organizations from growing to their full potential.

W. Edwards Deming put it bluntly: "Information is not knowledge. Knowledge comes from theory."

Unfortunately, what far to many executives and managers have is a lot of information about their businesses and their industries. What they desperately lack is "theory" by which to interpret and understand the information at their disposal.

G. K. Chesterton put it this way in Tremendous Trifles (Beaconsfield, Britain: Darwen Finlayson, 1968): "One of the four or five paradoxes which should be taught to every infant prattling on his mother's knee is the following: that the more a man looks at a thing the less he can see it, and the more a man learns a thing the less he knows it. The Fabian argument of the expert, that the man who is trained should be the man who is trusted would be absolutely unanswerable if it were really true that the man who studied a thing and practised it every day went on seeing more and more of its significance. But he does not. He goes on seeing less and less of its significance."

Think of Sir Isaac Newton and the story of his having begun his development of the theory of gravity because he had seen an apple falling from a tree. Surely there had been tens of thousands of individuals that had witnessed objects falling to the ground under the influence of gravity for several millennia prior to Sir Newton's experience. Yet, no one understood "gravity."

It has only been since Isaac Newton put a "theory" around gravity that men could take what they had experienced with gravity and put it into a framework -- a theoretical context -- that made the experience understandable to them. Furthermore, the framework (the "theory") gave men the opportunity to predict outcomes of certain actions relative to the gravitational affects. This meant that men could plan and execute with some real certainty as to the results they would obtain under "gravity."

Precisely the same is true of business.

Executives and managers have all manner of data in their hands relative to the performance of their enterprises. What they lack is a "theory" by which that data may be abstracted and understood for the purposes of effective management. A framework that will help them bring simplicity out of the complexity before them.

In all too many cases, the missing "data" for beginning the process of ongoing improvement is to be found within the organization at all. The missing component for executives and managers is quite often this simple point: there is a simple method available to help organizational leadership logically analyze what they already know internally.

In the absence of a "tool set" that helps management bring forth "knowledge" from their "information," executives and managers tend to continue "tinkering" with their businesses. They make changes here or there to see if the change helps.

Sometimes such change seems to help, other times the change actually makes things go worse than before. Still other times, the change is made and their is no perceptible affect on the organization at all.

This is no way to run a business -- or any other kind of organization!

Executives and managers are yearning -- sometimes without even recognizing what is lacking -- for a simple, effective tool to help them gain control of their enterprises once again.

[Next time: Gaining Control]

Contact me!

...

28 October 2009

Getting more of what you want - Part 4

In prior posts in this series, we have talked about why organizations frequently face significant challenges in getting more of what they really want -- to make more money tomorrow than they are making today. We have linked this to what we call "making the leap from entrepreneurial to enterprise."

We have also identified the underlying issue as being the loss of that view once held by the entrepreneurial leadership of the firm -- namely, the view that the whole company is one integrated "system" with one unifying goal. Instead, departments and layers of management erode that thinking away into ultimate oblivion in the minds of the entrepreneur.

The question we are facing now, in this post, is: If executives and managers have recognized the negative symptoms in their organization, and they surely have a desire for improvement, what is actually keeping organizational leadership from clearing away the barriers to making more money?

There are really multiple answers to this question, and the true response will -- naturally -- vary from organization to organization. However, consider these as a small sampling:
  • Firms that are already suffering from poor performance -- or performance below management's expectations, at least -- are often so consumed with trying to meet short-term objectives that they do not have time to back away from the details to even consider the "system" as a whole. All of management's time, energy, and way too much money is being consumed in activities like meeting month-end sales goals, expediting production, tracking down late shipments from vendors, or getting late shipments to customers out the door. There is just no time to step back and figure out why everyone is pulling their hair out but profits keep declining.
  • The organization has grown to be so large so fast (say, from 12 up to 55 employees in one year or so) that the entrepreneurial management just can't figure out which "lever to pull" to get the results it wants. What used to be a simple decision now seems overwhelming in complexity.
  • The entrepreneurial leadership has some ideas that might improve the company, but they can't figure out how to come to final decision because it just seems too hard and too complex to figure out the balance between the risks (investment) involved and the rewards (profits) that any given change might bring to the firm.
Consider this: If a small firm has just 5 people working in it, there are 120 different permutations of interactions between those 5 parties. Add a sixth person into the mix and that number jumps to 720 ways they might interact. If you get to 10 employees, the permutations jump to more than 3,000,000; and with 15 the number is 1,307,674,368,000. Of course, this doesn't even count interactions with customers and vendors.

It's no wonder that entrepreneurs with great ideas and great companies can readily be overwhelmed by apparent complexity as their organizations grow. No wonder the once confident entrepreneur-executive can no longer which "lever to pull" to get the result he or she desires.

Fortunately, the number of things that any executive or manager needs to know in order to manage effectively is a very small number. I'll tell you just how small in the next post.

[To be continued...]

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...

27 October 2009

Getting more of what you want - Part 3

Last time we talked about how a growing and expanding entrepreneurial organization can all too easily lose sight of a singular goal -- making more money tomorrow than its making today. When they do so, they also lose sight of the fact that, in serving its customers, the organization is a "system" -- not a collection of loosely connected departments or functions.

So, what are the symptoms exhibited by an organization that is not being measured and managed as a "system"?
  • Lower than desired overall performance
  • Challenges in achieving or maintaining a strategic advantage in the marketplace
  • Ongoing or recurring financial difficulties
  • Almost constant "fire-fighting"
  • Frequent failure to meet customers' expectations
  • "Bottlenecks" in the organization that move frequently from function to function or department to department
  • An ongoing state of conflict between parties representing various functions or departments within the organization
If you can nod your head "Yes" to three or more of these symptoms being present in your firm, then chances are you need help getting a handle on once again seeing your organization as a "system" and turning the corner to measure and manage it in a proper way.

But what really keeps owners, executives and managers from tearing down these roadblocks to success? They aren't stupid. They've known for (perhaps) years about the constant "fire-fighting," the company politics, and conflicts between departments or functions.

What is blocking executives and owners from taking effective action against those things, of which they are well aware, that are keeping their firm from making more money tomorrow than they are making today?

[To be continued...]

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26 October 2009

Getting more of what you want - Part 2

So, what is happening when successful entrepreneurial organizations find increasing challenges in what used to be intuitively easy for them -- namely, making more money tomorrow than they are making today?

Consider this: When the organization was purely entrepreneurial, likely it was small, had few employees, and operated in a relatively simple (unsophisticated) way. There were fewer things to touch and change -- fewer levers to push or pull -- to reach the desired result. Whatever management did produced nearly immediate reactions -- either good or bad. Feedback was frequently direct to the entrepreneurial leadership -- few or no layers of management or complexity, and fewer "dependencies" in the customer-to-cash stream.

In short, the entrepreneurial leadership was managing the organization as a single integrated "system" with a single goal -- to make more money tomorrow than it is making today!

However, with growth and (possibly) geographical expansion, the organization evolved from being integrated and homogeneous to being composed of departments -- the accounts payable department, the accounts receivable department, the production department, the shipping department, the receiving department, the sales department, ad infinitum. Of course, with departments came also department managers and maybe even layers of middle management.

More significantly, however, came a creeping mindset -- a mindset in executives and other managers that the sensible way to manage this growing organization is "by department." Instead of continuing to see the whole organization as one integrated "system" with a singular goal -- i.e., making more money tomorrow than it made today -- management began to set differing goals for different parts of the organization.

The production department's goals were all about quantities and quality; the sales department's goals were all about prospects, customers and orders; the accounting department's goals were tied to profits and cash flow; and so forth. Everyone was concentrating on managing their individual functions, but the "system" view that had brought early entrepreneurial success had almost entirely vanished from sight and memory.

Management had come to the (wrong) conclusion: That the way to optimize the "system" is to make sure the each individual part (department or function) is optimized. Unfortunately, without seeing this in the context of the "system" as a whole, this conclusion led to spending precious time, energy, and money on portions of the enterprise that did not add new profits and, in many cases, add operating expenses rather than decreasing them.

[To be continued...]

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23 October 2009

Getting more of what you want - Part 1

Most of my clients are small to mid-sized businesses when I meet them. Many of them have already achieved a significant level of success. These firms have proven themselves and grown -- many of them have grown rapidly -- and frequently they are on the precipice of making the leap from entrepreneurial to enterprise.

Generally, what makes an entrepreneur successful is something of a sixth sense that communicates to them an almost instinctive connection between opportunities (or revenues) and truly variable costs (TVC).

Entrepreneurs thrive and grow on this instinct and worry about the "cost accounting details" later. However, two things begin to change as their organization begins to grow:
  1. The entrepreneurial individuals in the firm -- the founder and his or her closest associates -- may become less connected to each opportunity the firm may encounter and similarly disconnected from a sense of the TVC involved.

  2. The more disconnected these, now, executives become from the details surrounding opportunities and TVCs, the more they begin to rely on standard "cost accounting methods" to guide their organization's decision-making.
Interestingly, the more "sophisticated" the decision-making process becomes in their organization, the more profits and profitability growth may tend to decline. The entrepreneurs find it increasingly difficult to make that leap from entrepreneural to enterprise capabilities.

What's keeping entrepreneurs and firms in this position from getting more of what they want? What's stopping them from making more money tomorrow than they are making today?

[To be continued...]

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17 October 2008

Information Is Not Knowledge

"Information is not knowledge. Knowledge comes from theory."
-- W. Edwards Deming

When Sir Isaac Newton was conked on his head by the falling apple (as the story goes), he had information. The information was, "apples fall from trees" or, put more generically, "things fall to the earth."

However, Newton still had no "knowledge."

Newton's comprehension of the facts did not provide "knowledge" that would be useful in any significant way. After all, people had known for centuries that things fall to the earth and, if one didn't want them falling to the earth, one must be certain that the objects are held securely in their present location.

Once, however, Newton began to construct "theory" around the fact that things fell to the earth, valuable "knowledge" began to spring from the "information" at hand.

For example, based on the "theory" that gravity was a force that always acted in precisely the same way, experiments could be set up to measure just how gravity functioned. From these experiments and calculations, we now know that the gravity of the earth accelerates objects at ~ 32.2 feet per second-squared.

This principle applies in business as well.

Having worked in the world of business management and computers since the time of the introduction of the personal computer (PC) in the early 1980s, I have found that many, many business people -- from owners, to CEOs, to CFOs, to middle managers, and on down the line -- confuse "information" with "knowledge". In fact, a very common fallacy is the belief that more "information" will lead to better management which will, in its turn, lead to better results.

Therefore, organization spend a considerable amount of some very limited resources (namely, time, energy, and money) acquiring or creating systems to give them more "information."

When all is said and done, however, these business folks often are not significantly better off than they were before they spent their precious time, energy and money, simply because, like the world before Newton, they have no "theory" by which to interpret the information they have. Without this theoretical "framework" in which to fit their body of information, many of their management actions are not much more than flailing at the wind. Some of their efforts work and some do not, but they generally cannot tell you (specifically or accurately) why one initiative worked and another similar one failed.

There are three required steps to gathering what one needs to take timely and effective action:

1. One must take the data (the raw, undigested facts -- perhaps line upon line of numbers) and convert the data into "information."

2. "Information" is data "digested" and put into a form (i.e., a chart, a graph, summed, analyzed statistically) that allows the user to quickly assess the essential implications of the underlying data.

3. The resulting "information" must be placed into a theoretical context -- a "framework" -- whereby the potential outcomes of any actions that might be indicated by the information may be fully comprehended.

Without these three steps, your organization may drown in data or become infatuated with "information" and, yet, never be able to move effectively when times are the most challenging.

©2008 Richard D. Cushing