“He who controls the present, controls the past. He who controls the past, controls the future.” George Orwell One of the benefits of the expanding analytical capabilities being created is the rise of a Culture of Evidence. A Culture of Evidence is to increase the use of reliable, factual information in decision making. In creating… Continue reading With Great Power …
‘Twas the night before analysis, when all thro’ the lab Not a consultant was stirring, no more coffee to grab The algorithms were coded in the system with care In hopes that the data soon would be there The analysts were restless, tired and half dead Visualizations of regressions danc’d in their heads Tech support… Continue reading Twas the Night Before Analysis or A Visit from the Chief Data Scientist
There we were. Three against a hundred. Toughest three guys we ever ran into. The growing field of data science has a quiet undercurrent that the scientific approach and the use of hard facts will yield understandable results. There is one problem with that belief. We still need good old, easy to misinterpret language to… Continue reading The Imprecise Language of Analytics
What does one call a situation where a quote about knowledge is being used incorrectly to demonstrate the need for knowledge? For example: A good decision is based on knowledge and not on numbers. Plato The above is often referenced by those who want to point out that numbers (as in data) is not enough.… Continue reading Even Wrong, Sometimes Right
The earliest writing was cuneiform from the Mesopotamian civilizations. The writing was hard to do (reeds and clay tablets) and difficult to read (at one point over 1,000 symbols). A specialized class called dubsars, better known by the more generic term scribe, developed over time. To become a scribe required extensive training. The scribe maintained… Continue reading From Scribes to Data Scientists
In this age of Big Data, the emerging field of Data Science is promising breakthrough changes for companies by looking at, well, everything, in new and different ways. It is true that some significant changes and new ideas are coming out of the Data Science realm. What disturbs me is if one was to search… Continue reading Standing on the Shoulders of Giants, er, Failure
Prior to the electronic storage of data, the primary medium for recording information was (and for many still is) paper. Big Data is focused on what can be done with the massive amounts of data organizations are creating and collecting. I was wondering if, at one time, there was a similar challenge in regards to… Continue reading I heard of Big Data. Does that mean at one time there was Big Paper?
Big Data is used to describe data sets so large and complex that they become awkward to use. The difficulties include capture, storage, search, sharing, analysis, and visualization. An often quoted fact about Big Data is a variation of – Every day, we create 2.5 quintillion bytes of data — so much that 90% of the… Continue reading Can I Super Size Your Data?
The 19th General Conference on Weights and Measures in 1991 was the last update to the metric system. At that time, they added the following multiplying factors: Multiplying factor Prefix Symbol 1021 zetta Z 10–21 zepto z 1024 yotta Y 10–24 yocto y How much bigger could anyting be? Really? We have rapidly gone through… Continue reading To Yocto and Beyond!