Last year like many people, I found myself laid off due to COVID-19. I suspected this would happen since my title barely reflects what I spend most of my time doing. Although I worked in a Call Centre, I hardly handled any calls. For those expecting me to have a lot of call stats, my…

The main components of systems theory that readers might remember are “inputs,” “processes,” and “outputs.”  The part that tends to get neglected is “feedback mechanisms.”  These mechanisms tell the system the extent to which operations fit the environment.  If there is lack of fitness, there is stress.  One adaptive impulse is to make processes more complex and intelligent - i.e. sometimes described as the fight response.  Another impulse is to give up and run away - i.e. the flight…

Although I deal with many different types of metrics, I believe they can be generally classified as follows: 1) time use; 2) alignment; 3) production; 4) performance; 5) service; 6) and market.  In this blog, I will be providing some comments pertaining to each.  Although I have yet to encounter any myself, I am certain that there must be text books on the issue of operational metrics and how to make use of them.  However, I personally developed nearly all of those that I use.  Although I do…

Sometimes when dealing with performance metrics, there are contradictory signals.  For instance, although both are desirable, it is common for efficiency and efficacy to be in opposition.  An agent in a call centre can handle lots of calls while at the same time getting few sales; this is especially true if the agent’s main objective is to do lots of calls.  This is a highly efficient person albeit unsuccessful in terms of expanding the business.  Conversely, another agent by spending a…

About a month ago, I posted a blog on “Technical Deconstruction.” I described this as a technique to break down aggregate data to distinguish between its contributing parts: these parts might contain unique characteristics compared to the aggregate.  For instance, I suggested that it can be helpful to break down data by workday - that is to say, maintaining separate data for each day of the week.  I said that the data could be further deconstructed perhaps by time period and employee: the…

The following simulation is based on a presentation that I attended in the 1990s.  I was an investment junkie back then.  I sat down, and I listening to people speak about their ideas on making money - on television and sometimes live.  The presenter in this case was trying to explain that investment success is sometimes a matter of chance.  He had people in the audience stand up.  He asked them to guess heads or tails.  Those that were correct continued to the next round - to guess again -…

What most people call “analysis,” I refer to this as “guidance.”  It is not guidance in terms of guiding the company; but rather, I provide a narrative to help guide people through the data - of which there is a great deal.  I play the role of a tour guide.  I remember when I was a teaching assistant for a social science class - and there was a contentious area that would likely be the focal point for essays - I said that it didn’t matter to me what “opinions” people expressed.  Nobody had…

In general, any expression of performance that applies to a department can, if the data system is configured properly, be stated in relation to individual workers.  For instance, if # of sales contracts / # of customer enquiries = success rate, the success rate can be given for the entire dealership and also for each sales agent in that dealership.  Due to the differences in performance between agents, it can be problematic to only make use of the aggregate.  Some agents might be blamed for…

Since I am sometimes asked to explain phenomena in the absence of data, it becomes necessary to determine what data is required to explain phenomena.  Some would say the best approach is to develop and test a hypothesis - to start filling a void of space with pinholes of light - until there are enough lit pinholes to provide a working theory.  This is not to say that a few additional…

I have written in the past about the difference between market demand and operational capacity - and how difficult it is to determine what exactly is being measured in relation to either.  Has the demand for a product declined, or is the organization simply less capable of satisfying it?  For example, the fact there are no bananas in the grocery store does not mean that there is no demand for bananas; but the absence of revenues from the sale of bananas might be regarded, rather erroneously,…

I was joking when I entered on Google, “Where was my coworker yesterday?”  After reviewing the responses that appeared from the search engine, I continued, “What did she eat for breakfast?”  Sometimes the responses to my everyday questions seem insightful - on a certain level, interesting and intriguing.  Usually the quality of the responses is quite poor.  I assume therefore that the algorithms operating in the background don’t “understand” the sense of what I am asking.  If I were to ask,…

In my blogs, I often distinguish between event data and metrics.  I usually say something to the effect that events help to explain the metrics - or events “provide the story behind the metrics.”  In this blog, I will be discussing two competing lines of thought behind events:  internal capacity and external demand.  Why do sales appear much lower for the month of June compared to July?  Some explanations relating to internal capacity are as follows:  “There weren’t enough agents in June to…

I routinely study differences in production between years by charting the data on the same graph. I consider this a popular approach. It makes sense since there is often interest on how the year is shaping up compared to previous years. Moreover, seasonality would be less relevant given that the same seasons are compared between years (assuming the seasons reoccur at around the same time). Below I present some real data from an organization in 1983 comparing production to 1982. I think many…

I find myself habitually using the term "metrics." When I first started blogging, I normally used this term only in reference to performance metrics. These are not ordinary "readings" but rather criteria-driven amounts - the criteria being performance. Over the years I have come to recognize that data-gathering is normally premised on some type of criteria. When compiling revenue data, it should be noted that analysts are seeking out data pertaining to revenues. The quest is predefined. The…

This blog is about the lived experience of "becoming a statistic." In our increasingly data-oriented society, the use of data serves not merely to try to understand but also to control people and determine their placement in the scheme of things. Central to the theme of systemic racism, gender discrimination, and the formation of class strata is the elevation evidentiary artefacts such as statistics in order to structurally define and diminish "individuals." The purpose is to make lesser the…

Ableism (able + ism) is apparent in many interactions between people. While driving on a road having a posted limit of 60 KPH, I was traveling slower since I expected a red light to soon appear ahead of me. The driver behind me - at that point stopped due to the red light - hollered that no car should be driving less than the posted limit. I explained, "60 is the maximum speed. You shouldn't do more than the…

In recent blogs, I wrote about using codified narrative as a form of data. I also discussed using attribution models to systematically evaluate codified narrative for ontological constructs: e.g. "child abuse" "physical confinement" "cannibalism." I provide a brief overview of these topics a bit later in the blog. The third important piece to make use of narrative data involves "attribution profiling" in a process that I call "catching scent." Following the odour of data involves…

Codified narrative is the product of converting human-friendly narrative into computer-friendly code. In past blogs, I discussed my own approach towards this process of codification. Here, I will be covering the idea of spatial, temporal, and contextual distribution of codified narrative. I have never suggested that narrative can or should be used in place of quantitative data. However, I have reflected on how the quantitative regime has tended to dominate discourse; this has perhaps led to…

I have been using the term "mass data assignment" in my blogs. I thought I should offer the community some simulated examples. These are simple simulations: all the data is in one place in an agreeable format. The file contents are meant to be easy to peruse. When I was younger, there was a television series called "Stargate SG-1." I have a number of seasons on DVD. In this series, a special branch of the U.S. Air Force visits offworld sites using stable wormholes: teams enter the wormholes…

When discussing the use of algorithms, the issue of durability or portability has to be considered. For example, a stock trading algorithm might be used in a missile guidance system. The algorithm would have to operate on an abstract kinetic level rather than for a specific application. I have written in the past about using the same algorithm to study stocks, earthquakes, hurricanes, electro-cardiograms, and attempts at evasion - using my mouse in a game environment. Wouldn't an abstraction…