These predictions were published by the International Institute for Analytics (IIA). They produced a nice infographics, featured below, and re-tweeted many times by various bloggers, using the hash tag #2015Analytics. Other interesting predictions include… Continue
Added by Vincent Granville on December 12, 2014 at 10:30am —
On the face of it, John Kotter’s seminal book “Our iceberg is melting” is a simple tale of a group of penguins who are scared about losing their home, their iceberg, and yes, even more scared of the changes that could entail. But through that simple story and their struggle for finding their new home, the story delivers a more powerful message that… Continue
Added by Debleena Roy on December 10, 2014 at 8:30am —
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. Articles marked with a + have interesting visualizations.
Added by Vincent Granville on December 9, 2014 at 9:30pm —
While we aren’t exactly “following the yellow brick road” these days, you may be feeling a bit like Dorothy from the “Wizard of Oz” when it comes to these topics. No my friend, you aren’t in Kansas… Continue
Added by Carla Gentry on December 8, 2014 at 6:30pm —
The purpose of this article is to clarify a few misconceptions about data and statistical science.
I will start with a controversial statement: data science barely uses statistical science and techniques. The truth is actually more nuanced, as explained below.
1. Data science heavily uses new statistical… Continue
Added by Vincent Granville on December 8, 2014 at 5:00pm —
When you use Twitter, how do you know when you are being presented with something credible instead of something totally bogus? The answer is, unless you spend a lot of time researching each tweet, you probably don’t. However, one thing is for certain, we rely on what we read on Twitter to be true.
Twitter is one of the fastest and most effective ways we disseminate news across our world. If this… Continue
Added by Renette Youssef on December 8, 2014 at 4:00pm —
This article is not about any futuristic "Iron Man style dashboard/data visualization product" where you are combing through holographic cubic chunks from your ultra fast Big Data pipeline.
From time to time I keep pondering on what could be the future and I am sure lot of us get this science fiction imagery where… Continue
Added by Nilesh Jethwa on December 8, 2014 at 7:30am —
Hello Data Science,
Thanks for allowing me the opportunity to be a part of Data Science Central!
Recently, I have embarked on a journey to become a Data Scientist! In doing so, I have begun to write an article about my findings to help those interested in becoming a Data Scientist as well, but don’t know where to start.
One thing I would love to include in my article is the backgrounds, opinions and teachings of real Data Scientists. In order to capture this, I have put… Continue
Added by Anthony Dutra on December 8, 2014 at 7:00am —
Here I compare these 5 rules published in 1999, with the new 2014 version. Data has changed so much that the opposite rules are now followed. Yet many statisticians and big businesses still stick to the outdated rules.
These rules were initially published in the featured book (see picture) first published in 1999, when software (e.g. SPSS) could not adapt to… Continue
Added by Vincent Granville on December 7, 2014 at 4:00pm —
Like many students about to finish their undergraduate degree, I decided to artificially inflate my grades by taking some "bird courses." These are not courses about birds. Other students assured me that the courses were designed to bolster my marks and to help me complete my program requirements. Considering the many bird courses available, I decided to take introductory music, which was essentially a history course focused on music. It required a lot of… Continue
Added by Don Philip Faithful on December 6, 2014 at 8:52am —
We all know models are always an illusion of reality - yet may or may not be useful. Data scientists should build both simple and complex models with reasonable and testable assumptions that capture what is… Continue
Added by Michael Walker on December 5, 2014 at 6:31pm —
Often in conversations with clients I’m asked the question “where do we begin?”
The costs of measurement, storage, and computation have collapsed. Now organizations are faced with the often daunting challenge of uncovering value from their data assets. How do we put those data assets to work? In nearly every industry, rapid experimentation is no longer a competitive advantage, but rather a market…
Added by Cameron Turner on December 5, 2014 at 9:30am —
According to Deloitte’s 2014 Human Capital Trends survey, 86% of companies do not have any analytics capabilities in HR, and 67% are ‘weak’ at using HR data to predict workforce performance and improvement.
At the Workforce and HR Analytics Summit West 2015 (March 9-10, San Diego) experienced HR leaders will share how they have reshaped their HR analytics from reporting factories to strategic solution providers that answer some of the most important business… Continue
Added by Alesia on December 4, 2014 at 2:00pm —
The outsourcing model which led to the “on-demand” “as a service” model, has taken off with increasing adoption of cloud-computing and mobility. What started out with the SaaS – software as a service model, has now diversified into several other services.
Indeed, cloud computing has come to rest on three of these as its core pillars:
- SaaS: Software as a Service
- PaaS: Platform as a Service
- IaaS: Infrastructure as a…
Added by Maloy Manna on December 4, 2014 at 9:15am —
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 December 3, 2014 at 9:30am —
As a Big Data practitioner, I want to share these reflexions with all the DSC community.
I spend some time researching and writing this document, currently, apart from my family, these two disciplines are my passions, they are filling almost of my time.
Sincerely, I hope that you enjoy reading and I'll appreciate all your feedback and comments.
1. Introduction Continue
3. Similarities Big Data vs. Haute…
Added by Carlos Franco on December 3, 2014 at 7:30am —
There are a lot of misconceptions around data scientists these days. Our goal is to challenge some of that hype, which is why we'd like to collect data from you on the actual challenges and opportunities you face. We appreciate your time and in return for your participation we'll send you the full report once it's complete.…
Added by Renette Youssef on December 2, 2014 at 11:48am —
How has the interest in Big Data, Hadoop, Business Intelligence, Analytics and dashboards changed over the years?
One easy way to gauge the interest is to measure how much news is generated for the related term and Google Trends allows you do that very easily.
After plugging all of the above terms in Google… Continue
Added by Nilesh Jethwa on December 2, 2014 at 10:37am —
Turning something raw into something industrially valuable has always required 2 things; science and engineering. The science is our attempt to explain and predict the behavior exhibited by some complex system and capture… Continue
Added by Sean McClure on December 2, 2014 at 10:10am —
Tassilo Pellegrini from Semantic Web Company has published a new report which outlines business models for Linked Data including a case study of the publishing house and information service provider Wolters Kluwer:
"With the increasing availability of semantic data on… Continue
Added by Andreas Blumauer on December 1, 2014 at 11:30pm —