Subscribe to DSC Newsletter

Don Philip Faithful's Blog (133)

Fugues of Operational Market Alignment

In the “Ecology of Metrics,” I wrote about “alignment” being a type of metric; alignment can measure the extent to which an organization’s supply or capacity is matched against the demands or needs of the market.  For instance, in a call centre, it would be highly desirable to have agents available to respond to calls at “precisely” the same time that clients are making calls.  If alignment is off even by only 15 to 30 seconds, impatient clients might hang up and never call again.  Similarly…

Continue

Added by Don Philip Faithful on June 2, 2018 at 5:00am — No Comments

Ecology of Metrics

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…

Continue

Added by Don Philip Faithful on May 26, 2018 at 9:00am — No Comments

Reconciling Opposing Performance Metrics Using Operational Simulations

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…

Continue

Added by Don Philip Faithful on May 6, 2018 at 3:30am — No Comments

Technical Boundary Analysis

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…

Continue

Added by Don Philip Faithful on April 14, 2018 at 8:00am — No Comments

Seduction of Success

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 -…

Continue

Added by Don Philip Faithful on March 31, 2018 at 11:00am — 2 Comments

Technical Deconstruction

The term “technical analysis” usually refers to the study of stock prices.  A technical analyst might use real-time or closing prices of stocks to predict future prices.  This is an interesting concept because of what is normally excluded from the analysis - namely, everything except prices.  Given that the approach doesn’t necessarily consider the health or profitability of the underlying companies, a purely technical approach seems to offer guidance that is disconnected from reality.  Yet…

Continue

Added by Don Philip Faithful on March 17, 2018 at 3:00am — No Comments

Little Hitler Syndrome

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…

Continue

Added by Don Philip Faithful on March 3, 2018 at 11:00am — 1 Comment

When Aggregates Fail

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…

Continue

Added by Don Philip Faithful on February 25, 2018 at 7:30am — No Comments

Applied Ontology and the Drivers of Data Recognition

I shared my story in a few blogs about returning to university to do a graduate degree.  In my first class, I found myself being asked to define “ontology.”  It was a course on the Geography of Disability.  I returned to class the following week with some details.  I said that strangely enough, this is not a word that can be found in all of my dictionaries.  One dictionary listed “oncology,” which I believe is the study of cancerous tumours.  My Collins Cobuild dictionary says, “Ontology is…

Continue

Added by Don Philip Faithful on February 11, 2018 at 7:30am — No Comments

The Theory of Theory

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…

Continue

Added by Don Philip Faithful on January 20, 2018 at 6:00am — No Comments

Infereferencing Algorithm

I once posted about making use of narrative objects.  In this blog, I will be discussing an algorithm that supports the creation of these objects.  I call it my “Infereferencing Algorithm”: this term is most easily pronounced with a slight pause between “infer” and “referencing.”  I consider this a useful and widely applicable algorithm although I don’t believe it operates well in a relational database environment.  Instead, I use “mass data files”:  these contain unstructured lumps of…

Continue

Added by Don Philip Faithful on December 31, 2017 at 8:00am — No Comments

Character Analysis in Production and Sales

A fictitious retailer which I am calling Malwart sells automobiles and automotive parts.  On this blog I will be focused on the sale of a particular automobile model called the Blair - a sporty compact that can be ordered in custom colour schemes.  Because all sales must be done by clients that also have accounts,…

Continue

Added by Don Philip Faithful on December 24, 2017 at 6:30am — No Comments

Judging Health Through Metrics of Conformance

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,…

Continue

Added by Don Philip Faithful on December 9, 2017 at 10:30am — No Comments

Astrology, Homicide Cases, and Everything Else

The “three wise men” in the story of the nativity are believed to be Magi or Zoroastrians.  As the story goes, these three wise men followed the Star of Bethlehem in search for the messiah.  For the most part, the Zoroastrians supported the one-god concept - and they also believed in a messiah.  It made sense for them - sometimes regarded as the original astrologers - to use their special talents to seek out the baby Jesus.  It makes sense purely from a narrative standpoint; although to me…

Continue

Added by Don Philip Faithful on November 26, 2017 at 8:00am — 3 Comments

Social Metrics from Parallel Narrative Objects

At times it might be desirable to determine what storylines on a narrative database contain certain key elements.  In the example below, the object “Alien Allan” is used to compile a listing of titles on the database that are in thematic agreement.  But rather than simply provide the listing of titles, the algorithm tabulates the key elements contained in these titles.  Notice that the most important elements resulting from the search do not necessarily match the elements in the submitted…

Continue

Added by Don Philip Faithful on November 11, 2017 at 5:30am — No Comments

Quantitative Alienation in the Workplace

For my graduate paper, I studied perceptions of workplace stress through the critical lens of social disablement.  Writing this paper was certainly an intellectual exercise that at the time didn’t seem to have many practical applications.  I am therefore honoured to become better acquainted with the “mechanics” of quantitative alienation through my day-to-day duties.  I respect the fact that I can’t share any substantial details about my actual work processes on a blog.  It will therefore be…

Continue

Added by Don Philip Faithful on November 4, 2017 at 8:30am — 1 Comment

Searching and Smelling by Objects to Find Profiles and Settings

A person will ordinarily search the contents of a database using matching keywords and tags.  Sophisticated databases might allow for filtering:  for example using NOT, AND, OR on a number of keyword strings such as both titles and product descriptions.  It is not normally possible to submit, say, a personality profile to a database - or a personality profile and a setting.  Searching for “serial murders subway terminals” might lead to event information about precisely this, apparent serial…

Continue

Added by Don Philip Faithful on October 27, 2017 at 10:00am — No Comments

Object Constructs More Accurate than Language or Numbers

In my last blog, I explained my “Animal Spirit Model,” which I used to consider Paddock the Vegas shooter and the fictitious character Jack Torrance (played by Jack Nicholson) in the 1980 horror movie “The Shining.”  In this blog, I will be considering the character of Mrs. Torrance - Jack’s wife (played by Shelley Duvall).  Below I present the computer generated description for Mrs. Torrance followed by her animal spirit on Excel.  The descriptor program responds to the settings on the…

Continue

Added by Don Philip Faithful on October 13, 2017 at 5:00am — No Comments

Engaging the Animal Spirit in the Narrative

How might a person go about studying something elusive like serial murder or terrorism?  I have no formal exposure in this area.  Much of the technology that I mention in this blog is meant for another purpose.  That other purpose is to study characters in movies, which for me is a great diversion.  In particular, I like to map out where certain characters might be found (or lost - i.e. missing characters): the settings they occupy, their roles, their relationships.  It goes without saying…

Continue

Added by Don Philip Faithful on October 9, 2017 at 5:00am — No Comments

Suspense Analog - Data Object

I periodically use the term “data object” in my blogs.  Since I do not normally blog about data objects per se, I find myself simply stating that in-depth analysis might need to go beyond numbers; therefore, we should consider data objects.  This might confuse readers unaware of what a data object is - or at least what I mean by it.  To make matters challenging, readers inclined towards data science do not necessarily have much background in the liberal arts; and those with degrees in the…

Continue

Added by Don Philip Faithful on September 22, 2017 at 1:00am — No Comments

Monthly Archives

2019

2018

2017

2016

2015

2014

2013

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service