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…
ContinueAdded by Don Philip Faithful on February 25, 2018 at 7:30am — No Comments
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…
ContinueAdded by Don Philip Faithful on January 20, 2018 at 6:00am — No Comments
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…
ContinueAdded by Don Philip Faithful on February 18, 2017 at 6:30am — No Comments
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…
ContinueAdded by Don Philip Faithful on January 28, 2017 at 10:00am — No Comments
When the performance of an employee is evaluated, ideally there are no externalities to complicate the analysis. If the employee has a computer that is constantly freezing up - or the servers in the company frequently operate slowly - the employee's performance data will reflect the functionality and effectiveness of these systems. If the company occupies a highly competitive market, declining sales data is attributable at least in part to competition rather than the behaviours of employees.…
ContinueAdded by Don Philip Faithful on July 25, 2015 at 5:44am — No Comments
In this blog, I will be discussing some distinct types of data involved in feedback. The types that I will be covering are as follows: 1) structural; 2) event; 3) quantitative; 4) contextual; and 5) systemic. In 2014, I recall reading a number of blogs about three types of data: prescriptive, descriptive, and predictive. There was a data scientist apparently on tour lecturing extensively about these three types. I don't recall the individual's name. Well, prescription, description, and…
ContinueAdded by Don Philip Faithful on July 5, 2015 at 4:56am — No Comments
I created this blog to further discuss the issue of mass data assignments, a methodology that allows qualitative data events to be incorporated into metrics such as performance indicators. These assignments are routine for me now after having developed a prototype. However, I am unaware of the prevalence of this or similar techniques in the broader community. So I periodically work the topic into my blogs to help stimulate discussion. When quantitative data exists, it means that we had…
Added by Don Philip Faithful on November 22, 2014 at 8:18am — No Comments
A few semesters into my undergraduate studies, I decided to move away from campus in order to escape the incessant party atmosphere. I chose to rent an old but roomy apartment in Kitchener, Ontario. I read somewhere that this city was formerly called New Munich. One day in the dead of morning, I heard loud banging and smashing downstairs. It seemed that neither I nor my cat could sleep, so I went to investigate. I saw the owner of the building at the front entrance of the apartment holding a…
ContinueAdded by Don Philip Faithful on June 21, 2014 at 6:27am — No Comments
The commodification of labour coincides with technological advancements in production: it is perhaps most noticeable in relation to factories. Factory processes replaced the labour once done by skilled tradespeople. It might not be obvious how this trend has continued to this day and is now affecting professionals in complex fields including those in the data sectors. I am talking about the "made to order" and "off the shelf" acquisition of labour commodities. What I describe as commodities…
ContinueAdded by Don Philip Faithful on February 22, 2014 at 7:05am — No Comments
Above - During a Session at the Archives of Ontario in 2011
In this blog post, I describe my early experiences leading me to conclude, data as we know it tends to be "disembodied" - that is to say, often lacking any kind of connection to different types of bodies. When we talk about things being disembodied, I suspect some form of decapitation is…
ContinueAdded by Don Philip Faithful on October 27, 2013 at 1:30pm — No Comments
2019
2018
2017
2016
2015
2014
2013
2012
2011
1999
© 2019 Data Science Central ®
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles