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…Continue
Added by Vincent Granville on March 23, 2013 at 10:30am — No Comments
McKinsey India estimates that the country needs at least 150,000 new data wizards to come to grips with Big Data. McKinsey Global estimated the US itself had a shortage of between 140,000 and 190,000 people with deep data analysis skills and another 1.5 million managers, which was hampering its Big Data projects.
Read article here
Added by Gaurav Vohra on March 23, 2013 at 12:33am — No Comments
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.…Continue
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
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,…Continue
Added by Vincent Granville on March 19, 2013 at 8:34am — No Comments
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…Continue
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)…Continue
Added by Vincent Granville on March 17, 2013 at 1:16pm — No Comments
There are two types of data scientists:
Here's our updated list:Continue
Added by Vincent Granville on March 14, 2013 at 7:30am — No Comments
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…Continue
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…Continue
Added by Kyle Herring on March 13, 2013 at 1:15pm — No Comments
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,…Continue
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…Continue
Added by Zach Piester on March 10, 2013 at 2:18pm — No Comments
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.
What is buzz marketing? In the strict sense of the term, buzz marketing is creating noise around a product, service, company or brand. For example you can recruit consumers, preferably proactive volunteers who influence their peers, and help them to try your products in good condition before pushing them to talk about their experience.
The buzz is one of the most powerful forces in the market, and knowing how to master this important marketing channel is critical. Word of…
Added by Michel Bruley on March 7, 2013 at 4:21am — No Comments
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.…
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…Continue
Added by Alan Nugent on March 5, 2013 at 4:01am — No Comments
This blog entry continues the topic of how a Data Scientist can convince colleagues to become more data driven. The previous blog covered office politics. This entry covers integration with the strategy and, more specifically, the process that creates the company's strategy.
Every company is unique and consequently so is its strategy process. At first glance, research on how companies develop strategies is complex and contradictory. There are simply too many ways to go about it:…Continue
Added by Vincent Granville on March 3, 2013 at 3:46pm — No Comments