Featured Blog Posts – March 2013 Archive (24)

Weekly Digest - April 1

Featured on DSC, Big Data News and AnalyticBridge…


Added by Vincent Granville on March 31, 2013 at 7:00am — No Comments

31 selected articles from top news outlets - last 30 days

Enjoy the reading! Articles from WSJ, Forbes, HBR, The Economist, NYT, MIT and many smaller, relevant media. In random order, though more recent ones are usually higher in the list.…


Added by Vincent Granville on March 30, 2013 at 1:30pm — No Comments

Business Intelligence ROI Remains Elusive; A next-generation approach to “ease of use” may hold the answer

ROI on Business Intelligence was the topic of the March 6th, 2013 of the TDWI NYC Tri-State Chapter, on whose board I serve.

Keynote speaker Neil Raden, founder of CEO of Hired Brains Research, and author, with James Taylor, of Smart Enough Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions.…


Added by Jaime Fitzgerald on March 29, 2013 at 3:56am — 1 Comment

What does a data scientist do?

Interesting PowerPoint presentation by Carlos Somohano. Here's my favorite slide (a slightly modified version):

Brief History of Data Science

  1. 1974 – Peter Naur @UoC Datalogy & Data Science…

Added by Vincent Granville on March 28, 2013 at 8:00am — No Comments

Predictive Analytics Strategy

Predictive analytics is now sexy in the business world. While predictive analytics has many benefits and can help organizations gain competitive advantage, the hype may be causing false expectations. There is a mistaken…


Added by Michael Walker on March 27, 2013 at 3:30pm — 1 Comment

Vibrant, Growing, and Changing - That’s Analytics in 2013

Today Lavastorm Analytics published “Analytics 2013 – A Survey on Analytic Usage, Trends, and Future Initiatives”. This is a very interesting research project because it includes opinions from such a wide audience from the analytics community – 600…


Added by Vincent Granville on March 23, 2013 at 10:30am — No Comments

Python Data Tools

Python is an increasingly popular object-oriented, interpreted and interactive programming language used for heavy-duty data analysis. Python is designed for ease-of-use, speed, readability and tailored for data-intensive applications.…


Added by Michael Walker on March 21, 2013 at 11:54am — 1 Comment

Data: It’s not the length; it’s the width that matters!

It’s time to forget the ‘vertical’ perception of Big Data, i.e. vast volumes and ROWSof data, and start to think about the ‘horizontal’ reality and true power of data. TheCOLUMNS of rich, informative data is where your real value lies and where truly smart decisions will be made.

Granted, extensive columns of data will get unmanageable to work with. But this is where data analytics can help…


Added by Graham Forsyth on March 21, 2013 at 4:42am — No Comments

The world is ready for the consumer-grade enterprise

Former VMware CEO and current Pivotal Initiative leader Paul Maritz shares his thoughts on how the future of enterprise IT must mirror the practices of consumer web companies.

In the last three decades, we’ve seen a shift in enterprise information technology, from mainframes that automated our financial information,…


Added by Vincent Granville on March 19, 2013 at 8:34am — No Comments

Preparing Millennials to Tackle Big Data Challenges

The South by Southwest Interactive conference in Austin, Texas captivates our imaginations for a few days every year. How do they do it? The conference makes science and technology look both lucrative and cool. Bright-eyed startup teams leave the conference with dreams of being the next Twitter or Instagram.

We need to see more of this momentum, especially amongst Millennials. To generate interest in technology careers such as those created by the Big Data wave, incentive…


Added by Radhika Subramanian on March 19, 2013 at 5:09am — 1 Comment

Great graphic diagrams

Everybody talks about beautiful charts and graphs, usually produced by Tableau or R, see links below. They are definitely great and I guess publishers (including us!) love to regularly show such graphs to our readers because it generates a lot of reactions. 

But what about graphic diagrams (see examples below)…


Added by Vincent Granville on March 18, 2013 at 4:30pm — 1 Comment

Weekly digest - March 17

Sponsored Announcement


Added by Vincent Granville on March 17, 2013 at 1:16pm — No Comments

Vertical vs. Horizontal Data Scientists

There are two types of data scientists:

  • Vertical data scientists have very deep knowledge in some narrow field. They might be computer scientists very familiar with computational complexity of all sorting algorithms. Or a statistician who knows everything about eigenvalues, singular value decomposition…

Added by Vincent Granville on March 17, 2013 at 12:30pm — 28 Comments

In-Memory Data Grids Allow Data Science at Faster Speeds

In-Memory Data Grids (IDG) allow organizations to collect, store, analyze and distribute large, fast-changing data sets in near real-time. Organizations are increasingly using IDG's for the efficient sharing of fast-changing data across multiple sites. IDG's provide the scalability and…


Added by Michael Walker on March 13, 2013 at 7:30pm — 1 Comment

Overcoming Big Data Challenges in the Enterprise

2.7 zetabytes of data exist in the digital universe today according to recent IBM case studies. Yes, you heard right. I said zetabytes; 10^21 bytes or 1,000x larger than an exabyte (which itself is a billion times larger than a gigabyte). From a visual perspective, if the cup of coffee on your desk was equivalent to one gigabyte, a zetabyte would have the same volume as the Great Wall of China. Now multiply that number…


Added by Kyle Herring on March 13, 2013 at 1:15pm — No Comments

Stock market: should you buy or sell?

The stock market has soared despite no news to support the new highs. Is it time to sell or to short? Or to buy?

Here's my advice, both as a data scientist, and as a former day trader who survived 15 years of stock market volatility  (and increased model-resistant price oscillations), mostly by not trading anymore since 2000,…


Added by Vincent Granville on March 12, 2013 at 9:00pm — 2 Comments

Unstructured Data Really Isn't

Unstructured Data Really Isn’t

Bradley S. Fordham, PhD (www.linkedin.com/in/drbradleyfordham)

The (ART+DATA) Institute

The term “unstructured data”, is truly an oxymoron.  All data has structure, and in fact most data has multiple structures…


Added by Zach Piester on March 10, 2013 at 2:18pm — No Comments

Automatically deskew before machine learning in R

I found it odd there was no way to automatically deskew data in R, so I wrote a short little function to do it.  It noticeably improves the peformance of linear models and linear support vector machines.

Added by Michael Malak on March 9, 2013 at 2:00pm — 1 Comment

Open for Comment: Proposed "Data Science Code of Professional Conduct"

We are seeking comments and suggestions on a proposed "Data Science Code of Professional Conduct".

Data science is an independent profession. Data scientists have a higher calling than just technical skills. We have a duty to use data science to make life, business and government better.…


Added by Michael Walker on March 6, 2013 at 8:17pm — 2 Comments

Quick! Hire a Data Scientist! Not so fast, perhaps...

Contrary to the prevailing sentiments, I counsel patience with regards to hiring a data scientist. Firstly, I mean no disrespect to my data science colleagues, and many will likely agree with me because no one likes to enter an environment where sub-optimal results or failure are probable. Yes, it’s likely you need to add one or even a few data scientists to the team, but not as your first step into the wide, wide world of Big Data. Give me a few minutes and hopefully you’ll see it my…


Added by Alan Nugent on March 5, 2013 at 4:01am — No Comments

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