There are always two aspects to data quality improvement. Data cleansing is the one-off process of tackling the errors within the database, ensuring retrospective anomalies are automatically located and removed. Another term, data maintenance, describes ongoing correction and verification – the process of continual improvement and regular checks.
Big Data is a big word in the tech world. One look at the highly popular hashtag #BigData reveals how it is gaining increasing credence. There’s a lot of talk about Big Data and how data analytics can help drive and turn around businesses. However, many people and companies are yet to come to terms with what exactly can Big Data deliver for their business.
I remember walking to a major shoe store brand outlet a few years ago. To my surprise, I had to look around and call for someone…Continue
I have never been formally trained on how to deal with seasonality. But I wanted to take a moment to share my perspective based on experience, which I hope readers will find fairly straightforward. Some people use sales revenues in order to evaluate seasonal differences. I find it more desirable to analyze units sold if possible. A price increase resulting in slightly higher revenues does not in itself represent increased demand. Nor should discounted prices leading to reduced revenues…Continue
Added by Don Philip Faithful on August 23, 2015 at 5:19am — No Comments
v0.2 of the application.
The analysis and discussion over the last few months on data integrity have finally positioned me to do some basic analysis of the NOAA data. Undoubtedly, as you look through the data in the interactive program below, you will see things that cause you to question the data. If you have the time, and the interest, please go back and read through my earlier posts on …
Added by Randall Shane on August 22, 2015 at 7:00am — No Comments
The original piece, "THOUGHT FOR FOOD: Analyzing the performance of a leading restaurant chain", appeared originally on the CrowdANALYTIX blog.
The restaurant industry in the US has changed dramatically over the years, and the need to…Continue
Added by Eric Oliveira on August 21, 2015 at 8:30am — No Comments
Guest blog by Fabio Souto
A curated list of awesome data visualizations frameworks, libraries and software. Inspired by awesome-python.Continue
New Big data research methods reveal that the origin of the name and concept of the US Peace Corps might in fact be more sinister than the current 'majority view' story:
Before the invention and popularization of the internet, a perfectly rational case was made to dismiss the veracity of arguments, based upon etymological evidence, that were being used by Professor Loren Eiseley in his efforts to prove that Charles Darwin had committed a research fraud by way of plagiarizing , among…Continue
Behind every successful person, there is tons of coffee.
Successful or not or on way to success, coffee is the beverage of choice for many of us. Today a coffee drinker faces a ‘choice overload’ problem – there are too many varieties, blends, and roasts to choose from. Is there a way to simplify this problem? How can data science help us to streamline our choices without sacrificing individual preferences?
Data science refers to knowledge discovery from large volumes of…Continue
Added by Kolabtree on August 20, 2015 at 10:00pm — No Comments
The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday. The picture of the week is from the contribution marked with a +, where you will find the details.
Data are good for many reasons, and there are times when data are not useful. However, the good reasons outweigh the bad.
The best benefit of data is the opportunity to learn from it. When companies create atmopheres for learning, data become an asset and a strategic priority.
Another benefit of data is the opportunity to get work done quickly. However, the time needed to finish a task with the aid of data is dependent on a solid understanding of the question posed by the…Continue
Added by Salil Sheth on August 19, 2015 at 4:40am — No Comments
Added by fodop on August 18, 2015 at 9:54pm — No Comments
Analytics are like a mosquito in a nudist colony. Why? Because there are so many opportunities!…Continue
Added by William Vorhies on August 18, 2015 at 10:00am — No Comments
After data science, which I discussed in an earlier post, data visualization is one of the most common buzzwords thrown around in the tech and business communities. To demonstrate how one can actually visualize data, I want to use one of the hottest tools in the market right now: Tableau. You can download Tableau Public for free …Continue
Added by Divya Parmar on August 18, 2015 at 8:25am — No Comments
It is with heavy heart that I must relay to you that Gartner has dropped “Big Data” from its 2015 Hype Cycle for Advanced Analytics and Data…Continue
When I think of Big Data and NoSQL I think of Big-Web-User companies like Amazon, Google, Twitter, Netflix, and other similar companies that amaze and entertain us by using the latest in NoSQL-based data science to bring us features that are useful and novel. Mostly that means using recommenders, NLP, IoT, and advanced search algorithms to present just the right part of the their Big Data databases to us users.
There aren't many examples of more traditional companies, even…Continue
Hello and Welcome back!
This series is my attempt to start cataloging all the interesting articles, industry reports, whitepapers, and news that I read every month, related to technology and data science. We are at Month 2 and let us dig right in -
This essay titled "…Continue
Added by Srividya Kannan Ramachandran on August 17, 2015 at 5:30am — No Comments
Where do you all come from?
Where do you all come from?
All your integrity's gone
Now tell me, where do you all come from?
From 'Where Do You All Come From' by Mott the Hoople
If you enjoy this piece or find it useful then please consider…Continue