This picture below represents a piece of paper where I wrote down my ideas for new articles, in the last few days, when making my 10 am tea pause. The tea kettle leaked on the sheet, slowly creating the brown stain. Many of my previous ideas were written with a purple pen, creating the purple stains.
What is amazing is the very realistic fractal shape of the…Continue
Post Adapted from Top 10 Big Data and Analytics References
Price is what you pay, value is what you get
- Warren Buffett
Between rising Data…Continue
As a programmer stepping into the world of data science, I'm following some Massive Open Online Courses (MOOCs) on various provider websites. Here are some I've shortlisted:
This post is in a series Twelve unique characteristics of IoT based Predictive analytics/machine learning.
Here, we discuss IoT devices and the nature of IoT data
Definitions and terminology
Added by ajit jaokar on January 9, 2015 at 2:00pm — No Comments
Guest blog by Cesar Brea, founding managing partner of Boston-based Force Five Partners, LLC, a marketing and sales analytics consulting firm. He is also the author of Marketing and Sales Analytics (Pearson FT Press, 2014).
Today’s case studies about data-driven marketing present stories of leaders and their successes. After all, history is written by the winners…Continue
Guest blog post by Bernard Marr
The biggest threat to your job might come from an unexpected place. I believe that there is a hidden assassin lurking in the background waiting to finish you off in your job. Let’s face it; job security is high on everyone’s wish list right now, especially at times of economic hardship when it might not be so easy to quickly find another one.
So how secure is your job? Where is this hidden threat coming from and how can you put yourself…Continue
Missing the landscape for the bars:
Any large global company would have a list of 10-15 companies that they deem as their strategic competitors. Let’s take the Investment Management industry. The usual suspects would include BlackRock, Vanguard, T.Rowe Price, PIMCO, Fidelity, JP Morgan, Goldman Sachs and a few more such global powerhouses.
Chances are that the competitive intelligence teams would spend their time analyzing the details of each…Continue
Added by Debleena Roy on January 8, 2015 at 9:37pm — No Comments
Topological data analysis has been very successful in discovering information in many large and complex data sets. In this post, I would like to discuss the reasons why it is an effective methodology.
One of the key messages around topological data analysis is that data has shape and the shape matters.…
2014 has been a landmark year for Big Data. The most spectacular example of this was the Hortonworks IPO – a success by any measure.
As we look forward to 2015, it is clear that…
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.
Added by Vincent Granville on January 7, 2015 at 5:00pm — No Comments
For the past two years,Tableau Software has been publishing a monthly list they call the "Best of Tableau Web". Essentially, this list of nearly 500 publications represents the best articles, blog posts, techniques, etc. created by users of Tableau software. The selections of these sources have been made by Tableau employees and represents an unbiased assessment of the web-based activity related to Tableau Software.
All available sources have been compiled into a database and a…Continue
Added by Kenneth C Black on January 7, 2015 at 8:00am — No Comments
I co-authored an IBM Redguide on Predictive Customer Intelligence. You can download a copy here: https://ibm.biz/BdEAia
Here is the Abstract:
Added by Venky Rao on January 7, 2015 at 7:14am — No Comments
Post adapted from Correlation vs Causation: Visualization, Statistics, and Intuition!
As someone who has a tendency to think in numbers, I love when success is…Continue
Nowadays, the big buzzwords in business analytics are insights topped with actionable insights. These used and sometimes abused words have become a must have and must do in every large or small business that has an analytics organization. However, their meaning and use are as varied and widespread as the businesses that proudly promote them. As some business leaders got intoxicated with looking for and feel in dire need of business insights by any means, others would seek them at any cost,…Continue
Guest blog post by Bernard Marr.
It depends entirely on how broadly you categorize them. In reality, of course – there are as many “types” of data scientist as there are people working in data science. I’ve worked with a lot, and have yet to meet two who are identical.
But what I have done here is separate data scientists into groups, containing individuals who share similar skills, methods, outlooks and responsibilities. Then I grouped those groups together, again and…Continue
When I read a blog, I often find myself in deep thought as I approach the end, trying to determine if the author has said anything that I might be able to use. A blog doesn't have to say anything. Nor does it have to be useful to me specifically. It might simply offer a personal reflection on life. As a person who also writes blogs, I…Continue
Added by Don Philip Faithful on January 3, 2015 at 8:16am — No Comments
Interesting article posted recently by Ferris Jumah, Data and Products guy at LinkedIn. The author concludes that data scientists typically do the following:
Hi everyone, I could say the same that a colleague in Oracle DBA but I come from of world IBM zOS mainframe (15 years experience in System area). I would like to start in the same field (Big Data & Analytics) but looking at the data analytic from data coming from IBM mainframe platform. So, which would be the best way to start? . (I'm familiarized with SMF records and I'have worked with other solutions like BSM (Business Service Management) and…
Added by Manuel Perez on January 2, 2015 at 6:34am — No Comments
With the big 3 Hadoop vendors – Cloudera, …Continue