Showing posts with label forecasting. Show all posts
Showing posts with label forecasting. Show all posts

Friday, April 5, 2024

ROI: Methods and Pitfalls

 

     When at the company I co-founded (TeleSoft International), we had a lot of the components of success, but missed a number of crucial ones -- which eventually led to a dwindling and a slow death of the company. But one area that we did recognize (but likely did not do as well as needed) was that we needed to focus our limited resources where we had the best potential for income. This is the area that is called "Return on Investment" (which, I am sure, most of you already know) or ROI. The area of Investment includes labor, capital, goodwill, time, existing equipment, and (I'm sure) other aspects. Return on investment often is listed as a number -- the amount of income generated by use of all of the resources invested. But, in reality, income is not the only return that can be generated. "Goodwill" -- or a positive image and, perhaps, some later assistance -- is a completely valid return worth an investment.

     The first aspect of attempting to determine ROI (which is an art rather than a science, no matter what people may want to believe) is to adequately determine resources. How many people are available? What are their experience levels? What are their particular expertises? What can they do better than the average person at another company? How much money is easily available and for how long could it last before replenishment of capital is needed? Are there any areas (sales, marketing, distribution, quality control, testing, engineering, ...) that are not sufficiently staffed? If not, are there plans to get them staffed?

     Are processes in place to allow for growth? Can you handle a tripling of orders in a week or two? Can you survive success? If your growth curve started to become geometric rather than mildly linear, would you be screaming with success or with panic?

     Once resources are well known, you have the capability of comparing potential products against the amount of potential gain versus the amount of resources needed. It is not sufficient to just read about product notices and other industry press. Much of that is information trying to convince you that the products and services are important and needed. You need to know just what is being USED and what is in real upcoming budgets to be purchased. If you have access to huge unused resources then you can afford to take risks approaching potential market niches opening up. Most companies do not have such.

     So, you must focus on what is and what is being planned for. You need to be able to analyze other companies sales status and be able to actively network with people in other companies to exchange non-proprietary information that indicates direction of spending and growth. This was the primary area in which my company failed -- those in charge of gathering information did not like to go to conferences and other networking activities. The news from the ivory tower of publications and announcements were the primary indicators -- and they often were only wishful.

     You have your known resources and you have targets of development and expansion that can bring back revenue. Now you have to match them. Why should your company be working in this area? Does your expertise give you a learning curve advantage to allow you to take the lead in the market? Will people obviously turn to you with the expectation that you can provide what they need or do they need to be convinced? The former is definitely the preferred path. You must establish priorities. What resources need to be committed to what, and for how long? How do you determine a dead path -- when you should stop and devote your resources to other projects that still seem viable?

     You know your resources. You know what you would like to produce. You know what best matches between your resources and desired products. Now go to it.

     

Friday, October 2, 2020

Unknown unknowns: All our crystal balls are cracked

 

     My wife and I read to each other almost every day. We take turns. I usually read something relatively light to her -- some fantasy or science fiction, perhaps a mystery. Events around me are too serious and I need some escape from them. On the other hand, she often chooses books that have much more serious themes (this is also true for movies that she chooses) and occasionally non-fiction. (Though we have just run across a quote that claims that fiction often contains more truth than non-fiction. That may be true, especially about interpersonal relationships.)

     At the moment, it is about "black swans". The book, The Black Swan: Second Edition: The Impact of the Highly Improbable, by Nassim Nicholas Taleb is a discussion of those things that really affect the final results. It is related to "Chaos Theory" but not really quite the same thing. The famous quote about Chaos Theory is that a butterfly flapping its wings on the other side of the world may determine whether or not a thunderstorm near you will happen.

     That of the "highly improbable" is more focused on the "unknown unknowns". A lot of the time, we try to bring into account -- plan for emergencies -- about unknown events in the future. Earthquakes, tornadoes, fire in the building, a key employee being hit by a bus on the way to work -- these are all known unknowns. We don't know that they will happen but we can envision them happening and attempt to make plans in case they do happen.

     Life is infinite and unpredictable. It is impossible to envision all the things that could happen. Even though a pandemic has been discussed as inevitable for at least the past 30 years (maybe earlier and I just was unaware), no one expected it to hit the world in 2020. It doesn't always have to be such a momentous occasion. I go to the barber shop and a siren blares right outside the door just as the barber is making a trim of my neck with shears. Ooops. All of a sudden, I have half of a Mohawk.

     I consider the stock market and the weather both in the category of being made up of a lot of unknown unknowns. Sure, for an individual company, there may be known factors that would/should influence the price. But how often do we read column after column of articles about why something happened the previous day -- and no articles the day before yesterday about those same factors and how they will affect the market that day? I appreciate the extensive models, training, and hard work of meteorologists but they are still trapped in the world of percentages. The following day, they can give you all kinds of reasons why the previous day's weather occurred.

     Most humans do not like to not know what is going to happen. They greatly desire the illusion of control. So we have a lot of prognosticators -- people to guess the future. And, they are all in the same situation as the weather forecaster (whether they realize it or not) -- they can do all kinds of things, use all kinds of tools, check all kinds of data -- and they can only give percentages. The closer in time, the better the odds. Part of the purpose of the Agile methodology, which was discussed in an earlier blog, is to keep allowing the focus, and priorities, to keep changing as new information comes in. It reduces the time to event and, therefore, increases the percentages. But those percentages never reach 100%.

     In my previous company, we underwent a periodic future product analysis to determine our priorities in development over the coming year. Part of that was to determine a theoretical Return On Investment (ROI). Perhaps some larger companies, with greater resources, achieve a better percentage of accuracy. Ours was not that good.

      If they ever say 100% you are entitled to have great doubts. Like a person tossing a coin into the air and guessing heads or tails -- and it lands on its edge or a bird grabs it mid-air -- there is always something (no matter how unlikely it may seem) that can arise.

Flaws: Why are flaws so endearing?

     I have a good track record in writing, and publishing, non-fiction and technical books. Having been in computer science areas for over ...