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Benchmarking Fallacies
FTP Consulting Services, Inc.

I recently read an article in support of EIPP (Electronic Invoice Presentment and Payment). The claim was made that a payment costing $10 to process manually could be handled for only $1 with an electronic solution. Assuming the backend costs for posting are the same, does this statement cause you to question the source of the numbers?

We who live in the remittance processing world see retail payment processing costs at a maximum of $.15 per item – but typically much less. Wholesale payment unit costs can go as high as $4.00 per transaction but are more often in the range of $.25 to $.60 per item. So where did the author of the EIPP article get his numbers?

We are constantly presented with numbers and facts, both in business and our personal lives, and asked to accept the information at face value. The little known secret is that if we were provided more detail as to the source of those statistics, the justification for a theory or assumption would often disappear. Sadly, many groups will manipulate numbers to support an opinion or their own personal interests. A great deal of comparative benchmark data is presented out of context. Without knowing the source and environment of the original data being compared, benchmark conclusions are simply misleading.

The challenge, then, is to question the facts and figures presented. We must ask ourselves if they make sense. Do my knowledge and experience tell me the same thing? If not, start digging.


Comparing Dissimilar Organizations


A typical example of erroneous benchmarking data can be found in a recent industry survey of retail processors in which information was gathered from a small sample size that varied greatly in its source data. The data came from different industry segments with varying volumes and applications of technology. The blended results (benchmarks) looked impressive but, in fact, were meaningless in application.

Does it really make sense to compare the productivity of a public utility with 80% matched pay to that of an operation processing revolving credit payments where less than half match to a full or minimum payment amount? What about unit cost reporting that combines inner city operations that staff hundreds of personnel with rural and urban operations whose employees number less than two dozen? You must consider what the two operations do or don’t have in common.

Likewise, when looking at unit cost for each organization, examine how many components relate to the processing environment controlled by the management team and how many elements such as rent, salaries and transportation costs are dictated by the corporate office.

While we are all interested in knowing how we compare to others, it is a waste of time and energy to compare on anything but an “apples to apples” basis. The validity of comparisons is questionable if there are significant disparities in the size of an organization, type of processing system, workflow, staffing levels, and variations in the application.

Sample Sources Matter

At first glance, one would think that a benchmark comparison of two credit card companies would provide beneficial information – until the layers of the onion are peeled away. For benchmarking to be truly valuable, the comparison needs to be of more than two retail processors. One credit card company, for example, may possess an upscale portfolio and receive a high percentage of payments in full, whereas the other might cater to sub-prime or less than credit worthy cardholders. The percentage of non-matching payments would therefore vary greatly between the two organizations.

A study should also take into account how the two organizations identify and count errors. One may count only those errors reported back to the department through customer service or the depository bank. The other operation counts both internally discovered errors plus those reported back through customer service and the depository bank. Which one has a more accurate picture of its true error rate? You need to know.

Who’s Conducting the Study?

An academic background is admirable and beneficial in determining statistical validity but may be less than helpful in understanding the cause and effect of errors and productivity measurements. The credentials of an individual or organization conducting a benchmark study are often the cause of skewed benchmarking data. A dose of live experience will add far greater insight into determining comparability and validity of data than hours of classroom and library time. Both are important and add value to the benchmark. It’s practical experience, however, that produces realistic expectations and easier implementation.

Dangerous Implications

Accepting raw facts and figures at face value can prove to be worthless at best and detrimental at worst. The truth of the matter is that most industry benchmarks are about as useful as convertible in Wisconsin. You will get some use of the data but the majority of the time it will sit in the garage.

Attempting to establish industry benchmarks using only a limited number of samples with variances in organization size, volumes processed, applications, workflows and systems employed is ludicrous and misleading. The most dangerous aspect of unreliable data is that management staff without an in-depth understanding will embrace it as gospel. That not only makes the life of the department manager miserable, but false assumptions will drive errors in strategic and tactical management decisions.

Discerning the Truth

For benchmarking to be truly valid and worthwhile you need to have specific objectives and expectations in mind. Secondly, you must determine the degree of applicability the benchmark has to your business. If your goal is to ascertain trends, then an industry benchmark comparison of one time period to another might prove beneficial. But if the objective is to determine a valid unit cost or production rate per employee, then the comparison should be of operations that are as similar to one another as possible.

When reviewing benchmark data, the reader must understand what numbers are being compared. What similarities and differences exist between the participants? What is the background and experience of the person or organization that performed the study? And how current is the information that was used in generating the benchmarks? It’s critical to review the standards and methods used in collecting and reporting data. Use the acid test.  Does it look, taste, feel and sound reasonable?

If you doubt any of the data presented or are unable to answer the previous questions, you would benefit from some healthy skepticism. It may very well protect you from unrealistic points of comparison and objectives. After careful scrutiny and determining that a benchmark study meets required criteria, you can then embrace it as a valuable tool for comparison and goal setting. Applying a little discernment in benchmark evaluation will go a long way.


Details, Details. . .Why They Matter
FTP Consulting Services, Inc.

We live in a new age. Technology has streamlined processes, placing operations light years ahead of their labor-intensive predecessors where manual methods were the only option. Since the initial productivity leap over these last few decades, however, efficiency gains have leveled off. Yet an increasingly competitive marketplace continually calls for more. More profits, higher yields. Outsourcers are knocking at the door, promising to deliver desired results. For the in-house operation, this means relinquished control and loss of jobs.

To circumvent this seemingly inevitable demise of in-house processing, we must fully understand why companies are not producing at required levels. A bird’s eye view of different operations – regardless of the industry segment or size in terms of processing volume – will reveal very little difference in terms of technology used or the type of people running operations.

So what is it that sets best-in-class operations apart? Attention to detail. As simplistic as it may sound, executing that goal takes time and effort. Perhaps that is why many operations are letting this important ingredient to success slip by them.

Small Improvements Add Up to Big Savings

An examination of just what details are being missed will shed some light on why they are so important. To demonstrate the value of details, let’s look at two similar operations that produce very different results. We’ll assume that each shop has two transports with the same throughput rates – 300 documents per minute – and one jam occurring per machine every 30 minutes. In Shop A, transport operators average three minutes per jam repair, while Shop B is able to get the transports up and running again in only two minutes.

That one-minute difference adds up. Shop A will lose 96 minutes over an 8-hour day, which translates into 28,800 documents that are not processed. Shop B, on the other hand, loses only 64 minutes or processing capability of 19,200 documents. Repeated one-minute delays quickly swell to a 9,600-documents (or 4,800-transactions) difference per day between each shop. With numbers like that, it’s no wonder that many departments are experiencing holdover on a daily basis. The good news is it can be eliminated with simple attention to detail.

As you can see, opportunities for improvement are measured in fractions. For the most part, technology has already provided all the major gains. There are no real home runs out there when it comes to improving the overall process. The way companies will score is with an accumulation of singles. That means a combination of small improvements and changes throughout an operation. It might be gaining a minute on jam repair on a transport. Perhaps it’s reducing idle time while employees are waiting on work or reloading a hopper in mail extraction and transport operations. An effort to minimize the number of keystrokes required to perform a data entry operation will likewise bring about measurable results. It’s all in the details.

A New Style of Management

The best-in-class operations are the ones that are paying attention to every step in their process, rather than just fixing one problem. This is a much more economical approach than that of some outfits that merely throw money at problems by buying more technology. A new piece of machinery may not be the answer. It could be as simple as supervising employees to focus on the task at hand and work more efficiently.

The job of a manager becomes critical in overseeing these kinds of details. But first, the mindset must change. Questions must be asked and action taken. What is being measured in a shop? Perhaps it’s only the high-level detail and not specifics, such as individual time spent on a transport. While it can seem overwhelming to manage the minutia of jam repair time on a transport, the information is usually available on a vendor’s system. Taking the time and exerting the effort to manage these details does pay off.

Managers must also understand scheduling and take the time to do it right. When does your mail show up and when do employees arrive? If most of your mail comes in between midnight and 8:00 a.m., the company operations are, in reality, starting during that third shift. But how many workers are on the clock during that time? Probably not enough. Another inefficient scenario might involve too many people starting work at noon, while the bulk of the mail arrives at 1:00 p.m. In that case, you end up paying for idle time.

Staggering start times of different employees or job functions is critical. If everyone starts work at the same time, that means a person who scans the mail has to wait – with nothing to do – until the mail is opened. Clearly, this is not the best use of your resources. Scheduling can get even more complicated for operations where the volume comes in by different patterns according to hour of the day, day of the week or week of the month. It’s not consistent every shift or every day. The easy, but inefficient, thing to do would be to schedule the same number of people per shift each day. A more innovative manager, however, will take the time to forecast what the volume is by day and then by hour, adjusting the number of employees on each shift to correspond accordingly.

Another role of management is to set standards when it comes to employee productivity. If some operators are producing at twice the speed of others, it’s probably not profitable to keep the slow people on the payroll. That’s when it becomes important to establish and enforce minimum performance levels. When an employee knows what is expected of him or her and has incentive to reach those goals, productivity rises.

Staving off the Competition

Both managers and employees have all the incentive in the world to keep productivity up. The trend today is to outsource operations because, quite frankly, third party vendors tend to do a better job. When processing items is a company’s core competency, more attention is paid to detail. It then becomes a profit center, rather than a cost center. An insurance, utility or mortgage company, on the other hand, may see processing payments as a necessary evil.

The problem with that point of view is those managing in-house operations may not be motivated to be creative in their thinking or look for ways to operate cheaper, faster, better. They may even be lulled into a false sense of security. The unfortunate but likely consequence of such inaction is that people lose their jobs to the more aggressive outsourcers. If you want to protect your interests, you must make the most of your in-house operation, doing all you can to improve your current process. Even if the decision is made to outsource your process, you could bring something to the table by being best in class. That distinction could be the reason an outsourcer decides to acquire the facilities and all the people who work within, as opposed to just acquiring volume.

Details, details... They are not to be ignored or dismissed as a nuisance. Indeed, attention to detail can elevate your operation to one that makes a difference, bringing necessary and welcome profitability to your organization.


Back To Basics - The Fundamentals of Operation Management
FTP Consulting Services, Inc.

The daily roller coaster ride of the Dow and NASDAQ has certainly made us catch our breath as we contemplate the future. One thing is clear. It is not the roaring ‘90s anymore. What does the current economic slowdown mean for business? A growing number of corporate layoffs indicate a trend to reduce expenses. How does this affect your business operations when purse strings are tightened and you find yourself being stretched to do more with less?

Many are at a loss. For some the first instinct is to purchase new technology in hopes of increasing productivity and efficiency. While you might see some changes, this approach stops short in that it merely automates the old process. It’s a band-aid when what you need is surgery. But not to worry … it’s really only a minor procedure, and recovery is relatively quick and painless. When all is said and done, you’ll find that there doesn’t have to be a trade-off between quality and productivity or timeliness. 

Understanding the Past
It’s all about getting back to the basics. Over the last 20 years, we’ve moved away from some important fundamentals of operation management. There are two main reasons for this shift. The first step away from the basics was taken in the 1980s when a sluggish economy resulted in a purge of middle management. The loss of these individuals meant lost mentors who were critical in passing down a skill set to the next generation of managers.

But when that next generation came along, it didn’t seem to matter. The 1990s marked an unprecedented economic boom on Wall Street. Profits soared. People had money to spend like never before on technology, acquisitions, marketing, product line expansion, training and facilities. It simply wasn’t necessary to be as efficient in the operations area as it had been in the past.

That is not to say that quality management and productivity issues were ignored. In some companies, valuable reengineering and TQM (Total Quality Management) programs were put in place and successfully executed. However, today’s wavering economy paints a different picture. Companies don’t have the time or money to wait the years it takes for these programs to be rolled throughout the entire corporate level. People need immediate results.

The Basic Tools
Getting back down to the basics provides results in as little as 90 days. So what are the basics? Just what did we lose in terms of practical tools when that mentoring element dissolved in the ‘80s? The skills needed to make the most of your resources involve tracking arrival patterns; forecasting volumes; staffing to schedule; and measuring and analyzing productivity, quality, timeliness and unit cost. When you know your productivity rates, timeliness requirements, what your volumes are and when they’re coming in, you can then staff and schedule accordingly. Knowledge gained from these relatively simple steps will enable you to get creative with variable staffing and drive down costs.

The best common denominator to measure yourself against past performance and your peers is unit cost. Tracking your unit cost establishes a baseline. When it comes time to cut your budget, you’ll know how much you need to lower that unit cost. This is often accomplished through staff reduction. But how does this affect the timeliness of your production? To avoid a negative impact, you might staff with part-timers on peak days and use only full-time employees on low volume days. You can effectively forecast and make effective staffing decisions when you track volume and arrival patterns.

Perhaps you’re already tracking productivity or volumes. But what are you doing with the information you’re tracking? Are you gathering the data and evaluating it so as to streamline your work process? Are you collecting too much information? If your measurement reporting system consists of a thick book of data, it’s too much; you can’t get through it. That’s when you narrow down the field and ask yourself, “What are the ten most important things needed to measure quality, productivity, and timeliness and provide the necessary data to improve my operation?”

Creative Solutions
What you’ll find is the same basic measurement tools apply, regardless of your industry. Take application processing, for example. When interest rates go down, mortgage applications go up. Volume patterns change.  Collections are likewise affected when the economy takes a downturn, as collection activity is likely to rise. That means more people are necessary to staff the phones – especially in the evening hours when there is a greater likelihood of contacting individuals at home.

If your processing operation runs one shift, five days a week, chances are Mondays are a peak day. Perhaps extending to a seven-day operation, working twenty-four hours a day will smooth out that peak. This will give you timeliness where needed and drive down the unit cost as you eliminate overtime.

Maybe your volumes are so high that you’re running out of physical space or processing capacity. Again, adding evening or weekend shifts can spread the volume out. But solving efficiency problems doesn’t always mean adding shifts. Split shifts could be the answer. Or maybe you’re already running two shifts, seven days a week – but the work still isn’t getting out on time or quality is low. An examination of peaks and valleys in terms of volume may require some creative staffing to address these issues. Such was the scenario of one of our customers. We arrived at a solution by breaking employees into teams and scheduling them to work four ten-hour days. On low volume days, only one team worked, whereas on high volume days, two teams were called in. The people loved it because they only had to work four days a week, and the operation solved its timeliness and expense problems.

As you can see, these are simple solutions. It’s all about looking at your options and being creative. However, many managers are just too busy fighting fires and doing everything they can to push the work out. They don’t have the time to sit back and consider all the alternatives to achieve their goals. It’s a matter of not seeing the forest for the trees. That’s when it’s nice to get the perspective of someone with an aerial view.

If you already schedule, measure productivity and set timeliness and quality standards, good for you. But given the current state of the economy, the screws are being tightened. You’re going to have to sharpen your pencils and those of your management team and get better at it. It’s not difficult. People have just gotten away from the basics. They’ve either focused on the wrong things or aren’t focusing at all. Our hope is that this newsletter will help you examine alternatives to running your operation processing system differently and zero in on the fundamentals. After all, it’s fundamental to your success.


You Don't Know What You Don't Know
FTP Consulting Services, Inc.

W
hen a bushman that has traveled his entire life by foot is introduced to a bicycle, his world is immediately transformed. As far as he is concerned, those two wheels provide the best mode of transportation known to man. While peddling through the village is a clear improvement over walking, no one has bothered to tell our bushman about planes, trains and automobiles. He simply doesn’t know what he is missing.

While people can remain blissfully ignorant about many things, your business operations process is not an area about which you can afford to remain uninformed. When hiring a consultant or purchasing a product, lack of knowledge can cost you. Wise investment of your capital starts with education.


Shop Wisely


I
f you plan to hire a consultant or buy a piece of equipment, you must shop the market. Otherwise, you’re like the bushman who has no point of comparison simply because he hasn’t been exposed to alternatives. Many businesses are under the false impression that their operation is “best of class” because they took the advice of a consultant or salesman at face value without investigating other solutions.

Many feel that they have performed sufficient investigation by examining the process of another business. Yet far too often, they are comparing apples to oranges. If, for instance, a utility likens its own operation to that of a bankcard company, the analysis is flawed from the start. Utilities have a near monopoly with 80% or more of their customers paying their bills in full. Bankcard companies, on the other hand, operate in a highly competitive market. What’s more, only a third of bankcard customers pay off their balances. Therefore, comparing productivity rates per staff member or error rates per 10,000 or 100,000 transactions will yield inaccurate results, causing false assumptions to be made.

Stretched Too Thin


In today’s fast paced business environment where streamlining is commonplace, it is understandable that a manager or supervisor would look for the easy path when making purchasing decisions. Management staffs are stretched thin, putting managers in the undesirable position of making business decisions in areas that lie beyond their scope of expertise.

For example, individuals in management positions are often asked to purchase new equipment even though they have never done it before. Due to time constraints and lack of knowledge, the Request for Proposal process is often set aside. If a vendor or consultant offers a solution that looks good, it’s easier to take the first thing that comes along and get on with the everyday demands of business.

However, there are many who call themselves consultants but are simply between jobs. They lack the experience necessary to give you the knowledge to make an informed decision. Likewise, many sales people move from job to job and will sell you just about anything. They may, in fact, be selling you a bill of goods. Buyer beware.

The Power of Knowledge


More than likely, the purchase of a new system will be an improvement over the old. But is it the best solution for your company’s particular needs? Informed shoppers – people who hire experienced consultants – find that whatever money is spent in researching the market comes back to them two-fold. With knowledge comes power. They understand what kind of demands can be made on a vendor and expectations are clear. Protection clauses can be written into contracts. In the end, the company benefits by obtaining state-of-the-art technology designed to support business operations well into the future. Individuals involved in the purchasing process glean valuable knowledge and experience that boosts their careers. It’s a win-win situation.

The ones who don’t win are companies who make poor decisions and fail to protect their interests simply because they don’t know what they don’t know. They may put in old technology that will become obsolete in just a short time. That was the case with many who purchased new equipment in the late 1990s that was not Y2K compliant. Needless to say, the life span of these products was extremely short, as the new millennium quickly approached. Others bought products that wouldn’t run on NT and consequently were forced to buy new systems.

These individuals didn’t know what questions to ask because they weren’t aware of all the facts. They didn’t know what they didn’t know. The good news is that costly oversights like these can be avoided with a little time and effort directed toward understanding the marketplace.


Call in the Experts


No matter what the size of your undertaking, it is wise to seek some degree of outside advice. You can control how much money you want to spend by engaging someone for one day or for the duration of your project. It could be that once you’ve met with an experienced consultant, you’ll discover that you know less than you thought you did. That’s when the FUD factor sets in – Fear, Uncertainty and Doubt. These debilitating words are quickly erased from your mind, however, once you bring in the experts.

As a case in point, it might very well behoove you to hire someone who writes Requests for Proposals several times a month, as opposed to relying on a manager within your company who may only develop an RFP once or twice in an entire career. Experienced consultants stay current with developments in technology and the way in which people do business. If you are not aware of these changes, you may not know what is realistic to expect and demand of a vendor.

You wouldn’t buy a car or retain a mortgage company without first investigating and pricing your options. Yet some people spend more time shopping for a VCR than they do a million-dollar business solution. There is a world of opportunity out there. But if you haven’t been exposed to it, you won’t know how to take advantage of all the tools available or how to gauge your company’s success and productivity. You won’t know what you don’t know.

You therefore need to have as many points of reference and comparison as possible. And rely on people with the experience and long-term market presence to share their knowledge with you. Get all the facts. Make an informed decision. In so doing, you will reap benefits for yourself, your company and the industry as a whole. Most importantly, you will no longer operate without knowing what you don’t know.


Who Said Nothing in this World is Free? The Discovery of Free Data
FTP Consulting Services, Inc.

What would you do if you suddenly learned you were sitting on a gold mine? Well, start digging. Odds are, you are rich in resources you probably didn’t even know you had. We call it “free data” – a gold mine of information.

An abundance of data is captured in an automated format through the overall workflow process each and every day. However, only a portion of these facts and figures are used for the immediate task at hand. The rest is typically discarded. This extra information – or free data – is actually quite valuable and could be put to use in other capacities that would streamline your operations and save a great deal of money.

You are already collecting information for specific purposes. Now you must look deeper and ask yourself how you can mine that data and use it elsewhere. We’ve noticed that there is free data circulating in virtually every industry. You just need an eye to find it.


Information Mining

When is the last time you were at the airport, number 194 of the 200 people in line at your gate – while one lone counter clerk worked to check everyone in during the ten minutes remaining before your flight?  Had that airline made use of its free data, you could have been relaxing in the lounge with plenty of time to spare. The airline’s computer is full of information – including how many tickets were sold. Knowing what time most travelers would arrive for their flight, management could have easily planned to have more workers behind the counter. Free data.

How about the cash register at the fast food restaurant that logs in sales information?  If this data is saved and analyzed, the manager may notice a pattern. Maybe every Tuesday at 3:30 p.m., the store experiences a rush. Perhaps that’s the time kids get out of school and come in for their daily dose of French fries. (You see, the register will also have recorded information as to what customers are buying.)  Now the restaurant can forecast and schedule additional employees for that afternoon shift. And they will be sure to have plenty of ketchup on hand to go with those fries. Free data.


A producer of snack foods in Dallas is a prime example of a company that took advantage of free data and made it work to their advantage. In the 1980s, this company’s trucks would retrieve unsold items from stores and give storeowners credit for the merchandise. The information collected on receivables was stored on a computer. One day, someone in the snack food company’s marketing department took note that data was being gathered on which items were and were not selling. In the meantime, raw materials – corn and potatoes – were sitting on the railroad track, waiting to be processed. A quick analysis of this data told snack food company personnel whether or not potato chips were selling in West Texas and if corn chips were stronger in the southern part of the state. The Dallas plant then knew what to make and where to ship it. Free data.
 

Taking off the Blinders

What kind of free data is floating around in your operation?  You, like those in many companies, may be pressed from an operations standpoint to reduce costs and improve profit margins. People are investing hundreds of thousands (if not millions) of dollars in automation … but using it with blinders on. Technology is being left on the table.

Take the example of incoming mail. Perhaps you spent a quarter of a million dollars on a machine that sorts your mail to individual PO boxes. Great. But did you know that other valuable information is being captured simultaneously?  You can also determine your volume and the pattern of mail by day of week or by hour. All that data is contained within your machine. Now you can take this knowledge and start forecasting. If you know that every Monday at 8:00 a.m., you get 30% of your volume, you can build a staffing schedule. Free data puts you in control of your workflow environment instead of reacting to it.


Too many companies are wasting time, energy and money on manual processes, when needed information has already been electronically captured. A mailroom clerk, for example, will sit and manually log the trays of mail, when the machine has already counted every envelope. Or what about the employee who re-keys information into a computer for billing purposes? The data was already in electronic format. It just came off the computer. But it is being entered again. Billing may not have been the end goal when this particular automation system was purchased, so no one thinks to mine that information. But it’s there.

Understandably, managers are focused on accomplishing their particular job – getting from Point A to Point B in the shortest amount of time with the least amount of problems. However, there may be a number of side paths that can lead to answers for another operation or help in a particular area of the processing stream.

A Different Perspective

Free data is often discovered when somebody simply looks at a process from a different perspective. They see that while information is being gathered for one purpose, it can be effectively used for another. The zoo generates a lot of manure. But some individuals have turned it into a business enterprise for fertilizer. Again, free data. 

When a car leaves the plant in Detroit, General Motors knows exactly how much labor is in it. But in our business – in the back room – when someone is asked about the cost per item, all you get is a blank stare. The information is there. It’s free. It needn’t be a mystery any longer.

Our challenge to you, the end user … to you, the vendor … to the industry as a whole … is to explore the ways in which you can make more use of the data that already is out there … right at your fingertips. Don’t let this valuable resource slip through your hands. Grasp hold of it.

Look to see if you have information available that can be used in a different way than originally intended. The more you train yourself to view your operation with new eyes, the more instinctive it will become. And you will be the richer for it.


Incentives that Work for You
FTP Consulting Services, Inc.

Incentives. You can’t compete unless you’ve got them. But once you’ve established incentive programs to recruit needed employees, how do you go about improving productivity? Are your incentives yielding a return on your investment? Or have you created a money pit?

If structured correctly, incentives can have a strong impact on your bottom line. Sadly, most incentive programs are not achieving desired results of increased productivity and cost savings. If you find yourself at your wit’s end, trying to find an incentive program that works, you are not alone. What is it, then, that so many people doing wrong?

One thing is certain. Simply throwing money at the problem won’t solve it. The tendency is to try to motivate employees through raffles or contests with the promise of “warm and fuzzy” prizes at the end. However, for an incentive program to be truly effective, it has to be carefully crafted. Operations managers must take the time to analyze their work environments and quantify desired results. 

Working from the Inside Out

It starts with examining the expense of operations. If your core objective is to cut costs, do you know what you’re spending? What is your unit cost of production? What would you like it to be? How do you get there? Better yet, how does employee performance need to improve in order to impact productivity and quality … and ultimately save you money?

These are questions that must be answered before instigating an incentive program. First, let’s look at unit cost. What is it? In its simplest form, unit cost is the number derived by dividing the dollars spent on manpower by the number of transactions in a given time period. Increased productivity should naturally lower your unit cost. We suggest tracking this number on a monthly or quarterly basis to determine if the unit cost is rising or falling. 

FTP offers training classes to help companies throughout the country understand their unit cost and the components that can improve productivity. That lays the groundwork on which to construct an incentive program. Truth be told, if the correct foundation isn’t laid, you may as well be building on sand.

FTP Analysis Leads to Unprecedented Savings

One client of FTP recently called on us to restructure its shaky incentive program. The results have put smiles on the faces of the operations manager and employees alike. The specifics involve a telephone call center that takes customer service calls for a credit card operation. The organization had tried a variety of short-term motivational strategies over the years in an effort to boost productivity. The feel-good gifts did little, however, to increase numbers and accomplish company goals.

FTP took a long, hard look at the company’s unit cost and what it would take to save significant dollars. We came to the conclusion that if each person in the call center could improve productivity by an average of only one call per hour, the company would save $260,000 over the course of a year. The results would be measured on a monthly basis and a percentage of the savings distributed among the workers, based on their individual performance. 

Suddenly, the call center incentive program was no longer vague. People could understand why the company set a specific objective and what they needed to do to make it happen. Employees could gain points by meeting such performance standards as attendance and availability to take calls. These tangible, attainable goals have changed the perspective of employees, teaching them to work smarter – not harder.


The results?  Each worker added not only 1, but an average of 2.3 calls per hour. That translates to almost $550,000 annual savings for the company. And it means an extra $150 to $200 in the pockets of employees each month. That’s motivation.


Relating Incentive Programs to Employees

The lesson for the telephone call center was that a critical element had been missing from past incentive programs. Employees must have a clear understanding of how to tie their individual performance to the company objective. This is what most operations managers fail to recognize. Attaching the organizational or departmental goal to dollars is what makes sense to employees. 

Another common mistake is what we call the “cookie-cutter approach” to incentives. Perhaps you’ve seen an incentive program succeed in someone else’s organization. Yet when you tried to implement the very same plan within your own work group, you came up empty. The reason is no great mystery. Corporate cultures are different. Even different operations within the same organization can have personalities of their own. Maybe the tasks in one area are repetitive in nature, compared to the broader scope of work required of another department. Operations managers need to ascertain the personality of a group and tailor the program accordingly.

To do this, you must go to the source. Talk to your employees. Most managers don’t take time to understand employees or what motivates them. Ask how they feel about incentive programs that have been used in the past. You may be surprised to learn that their responses are negative. Workers often look at incentives as gimmicks lasting three to six months – or until management decides to try something different. And with each new program, employees see the same people being rewarded time after time. 

Fair Allocation of Rewards

Typically, the superstars will continue to perform well and be recognized. This is why contests or raffles are self-defeating. So how do you motivate the lower performers to improve? That’s where allocation comes into play. Once you determine how much of the money saved can be allocated, develop a system whereby individual employees can earn qualification or a percentage of those funds. And set up the allocation in a way that seems fair to everyone. Some sort of equal distribution among team members is one way to solve the problem.

Experience That Pays Dividends

If your incentive programs need an overhaul, it is critical that you analyze your business operation and make needed changes. There are many questions to ask. FTP has worked with operations managers for more than twelve years, providing answers about unit cost management and how to build successful incentive programs. 


FTP has been down the road you are traveling. We invite you to take advantage of our experience to identify performance improvement opportunities within your organization and surpass even your own productivity goals.


How Much is Really in the Bank? Revenue vs. Profitability
FTP Consulting Services, Inc.

Wall Street judges you on it. Shareholders demand it. Management scrambles to make it happen. Revenue growth is the mantra of modern day business. Quarter by quarter, the pressure is on for sales numbers to increase. But the question at hand should be: “Is your bank account increasing?” Are you profitable? You may be surprised to learn that increased revenue doesn’t necessarily translate to profitability. In fact, there is a very distinct difference between the two.

Do the Math

As is true with most businesses, the common thought within the wholesale lockbox industry is that profitability is tied to volume. Au contraire! Let’s get out the calculators and do some business math. For the sake of this exercise, we’ll assume a wholesale lockbox operation has two customers for whom internal processing costs are $0.20 per item each. Box rental is $125 per month. Customer A has a volume of 500 items per month and will pay $0.30 per item. Customer B, on the other hand, has a volume of only 10 items per month and will pay $0.25 per month.

Which customer account is more profitable to the processor? At first glance, it may seem like a no-brainer. Go after the big volume customer that is paying more per item. It’s the smaller customer, however, that will bring greater per item profit. Here’s how it breaks down. When processing Customer A’s 500 items, the lockbox makes $0.10 per item ($0.30 - $0.20) for a $50 profit. Add to that the box rental of $125 and the total profit is $175, or $0.35 per item.

The processing profit for Customer B is significantly lower – 10 items x $0.05 ($0.25 - $0.20) = $0.50. But when you factor in the $125 box rental charge, profit rises to $125.50, or $12.55 per item. The fixed costs are what make a difference in this equation. The bottom line is that Customer A has greater revenue, but Customer B has greater profitability. Revenue numbers may look good on paper, but profitability is what you have in the bank.

To take this simplified illustration one step further, we’ll consider the labor costs involved based on the assumption that the time required to process an item for Customer A is the same as it is for Customer B. If the lockbox operation had 49 more accounts like Customer B – each with 10 items per month – the amount of labor and accompanying expense required to process these 50 accounts (500 items) would be the same as that required to process for Customer A. Yet Customer B and the 49 other small customers would bring in a profit of $12.55 per item for a total of $6,275. Compare that to the $175 profit made from processing Customer A’s 500 items. It takes the same amount of work to process the 50 small accounts as it does the one large one. But you get a bigger return on your effort with the smaller customers. There’s simply no comparison.

This same logic applies to retail lockbox applications, with some of the differences being that the exception percentage and mix of work come into play. The fact remains that a while a large volume account may generate more revenue for an organization; it may not be the most profitable.

The Wrong Motivators

Still, it’s big numbers that get the attention of management. Wall Street rewards revenue growth. However, a company could potentially have no increase in sales from one quarter to the next but see profitability climb. The irony is that unless revenue rises, stock prices fall. The truth of the matter is:  profitability is the real indicator of a company’s health. An investor gets a dividend when profits are up – not just sales.


Nevertheless, many processors or banks continue to turn down small accounts because they don’t understand the concept of profitability. Given the choice between a single account that will bring 500 items and 50 accounts that generate 10 items each, a lockbox manager will invariably choose the one large customer. It’s easier to manage. And it’s easier for a salesman to sell one high-volume account than it is to sell 50 small ones. When the numbers are calculated, though, it becomes clear that these are not sound business decisions.

Anything for a Sale

Because incentives are based on revenue, sales people will go to any lengths to win a big-name, big-volume account. But that doesn’t necessarily mean big profits. Take any major industry, like telephone and cable or credit card, for example, and think of it as a pyramid. A limited number of companies usually occupy the top tier. With a number of processors vying for the payment processing business of those few accounts, the lowest possible cost is negotiated. The “lucky” winners of these accounts may not be so lucky after all. 

Not only has the price been driven down, but processors have more than likely spent quite a bit of money to compete for these deals. Consequently, the profit margin has been cut so thin that if a machine so much as hiccups during the day, the processor loses profitability.

The smart thing to do is to go after the hundred or so telephone companies at the bottom of the pyramid. They’re willing to pay double or even triple the bid-down price that processors must settle on with the large vendors. You may have less volume than you would with the big guys, but the potential is there to make a larger overall profit.

A similar mistake is often made in the vendor community. Companies are so intent on making a sale that they will bid a job for less than the cost of doing business. For instance, an organization might bundle hardware and software together and discount it to make a sale. While that vendor may record $1 million in sales, if it costs $1.5 million to put the system together, the lifespan of the company will be cut short.

In another scenario, a company might spend more on development than it makes selling a product. Or perhaps a manufacturer is trying to sell equipment at a price that matches the competition. But the competition is a reseller without the internal costs of manufacturing. The higher the internal costs, the lower the profit margin. As companies have come to recognize this reality, there has actually been a trend to move away from hardware manufacturing into software – all to decrease overhead expenses and increase profitability.

A Time to Refocus

Understanding your business and working smarter are key factors to achieving success. It is therefore critical that profitability considerations play a major role in business decisions. That means shifting strategies and expanding the myopic view of revenue alone to include a focus on profits. Revenue on its own does not represent the vibrancy of an organization. Many of the dot-coms serve as prime examples of companies that had millions of dollars on paper, but incurred greater expenses than revenue earned. Lack of profit sent them to the annals of failed business ventures. 

It’s time to look at and go after business differently. Then you’ll make a new kind of history for the record books. One that will be emulated by others for years to come.



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