It is easy to take for granted the technology we have at our disposal. We flick a switch and the lights go on, we turn on the tap and clean water comes out. We don’t ha...
Probably like most people, I tend to recognize data as a stream of values. Notice that I use the term values rather than numbers although in practice I guess that values ...
This article on data visualization tools was written by Jessica Davis. She’s passionate about the practical use of business intelligence, predictive analytics, an...
This article contains phrases taken from the machine learning and analysis world. Data scientists and algorithm engineers will feel more comfortable with reading it altho...
There is growing demand of data scientists in every organization. For growth of any business enterprise there is need to evaluate data in order to streamline the strategi...
In a prior post I outlined some thoughts on the outlook for the data analytics sector and referenced a database I prepared of analytics companies. At the time the list ...
This image comes from Xkcd, a webcomic of romance, sarcasm, math, and language. Created by Randall Munroe, he is a CNU graduate with a degree in physics. Before start...
Originally posted on Analytic Bridge By Dan Kellett, Director of Data Science, Capital One UK Disclaimer: This is my attempt to explain some of the ‘Big Data’ co...
INTRODUCTION “Alone we can do so little and together we can do much” – a phrase from Helen Keller during 50’s is a reflection of achievements and successf...
When many organizations invest in new Business Intelligence (BI) tools and systems, much of the focus is put into the technical requirements of connecting the tool to the...