Analyzing the quality of your software is crucial to any business. The process appears towards the end of your software development lifecycle but indeed decides the fate of it. In other words, quality analysis demonstrates a process in which the actual output of the software is tested with its expected output.Read Full Story
If you selling products and services via web channel you may consider analyzing who is visiting your web site and how do people who buy differ from thos that don’t, and out of those who buy – what is their clickstream sequence and navigational pattern.Read Full Story
I happen to think that SQL is a very viable option for analyzing big data. I was thinking about this when I a book review recently:For instance, Siegel reports, people who buy small felt pads that adhere to the bottom of chair legs (to protect the floor) are more likely than others to be good credit risks. For some people, results like this conjure up magic.Read Full Story
Finding metrics with similar behavior and analyzing internal system dependencies.
There are a lot of situations when you see an unexpected change in one metric (e.g. increased latency or error rate) and need to find the cause.
I’m working on a new research project, and I need your help. If monitoring or analyzing social media is part of your job—and you don’t work for one of the software providers—please take part in a survey on the state of social media analysis at https://www.surveymonkey.com/r/sma-2015.Read Full Story
This article delves into methods for analyzing multivariate and univariate time series data. A complementary Domino project is available.
Conducting exploratory analysis and extracting meaningful insights from data are core components of research and data science work. Time series data is commonly encountered.