Weekly Digest - Feb 11
The format has changed a litte bit. We have now 5 sections: Sponsored Announcements, Staff Contributions, Guest Blog Posts, Guest Forum Questions and Miscellaneous, from DSC and its two channels: BigDataNews.com and AnalyticBridge.com.
Sponsored Announcements…
ContinueAdded by Vincent Granville on February 10, 2013 at 5:30pm — No Comments
The graveyard of programming languages
Interesting article from Stevey's "Drunken Blog Rants™", about dying and dead languages - from Fortran, Algol, Lisp, C++ to Perl. Posted in 2004, the rants against Perl are very strong. Stevey describes how totally crazy its founder - Lary Wall - was, turning Perl into a cult, and how and why Ruby and Python are superior.
It…
ContinueAdded by Vincent Granville on February 9, 2013 at 3:00pm — 6 Comments
The Need for a Product-Centric Approach to Big Data
Market research firm IDC predicts that all digital data created will reach 4 zettabytes in 2013. Gartner says that Big Data is moving from small, individual, and focused projects to an enterprise-wide architecture. All this requires a breakthrough when it comes to current approaches for leveraging Big Data.
We are clearly still in the earliest days of the Big Data movement. As such, companies are lacking the expertise and know-how to operationalize and monetize their data assets and…
ContinueAdded by Radhika Subramanian on February 8, 2013 at 11:30am — No Comments
Predicting the chance that your tax return will be audited
What are your chances of being audited? And how can data science help answer this question, for each of us individually?
Some factors increase the chance of an audit, including:
Added by Vincent Granville on February 8, 2013 at 11:09am — No Comments
How the Data Scientist Should Navigate Office Politics
Have you ever found yourself trying to convince a group of people to become more data driven and meeting a LOT of resistance?
First, understand that this is normal. Second, understand that there are things you can do about it. This resistance exists because of factors at the personal and the organizational levels. People have existing plans based on their own assumptions. People, including you and me, make decisions on incomplete information. Without complete information,…
Added by Stephen Penn, DM, PMP on February 7, 2013 at 10:38am — No Comments
Vote for the Best Big Data Analytics Platform
Added by Michael Walker on February 7, 2013 at 8:56am — No Comments
Mobile Analytics Tools
The growth of mobile has spurred a demand for mobile analytics, and cloud-based data storage/retrieval/processing has greatly simplified the process and lowered the price. Slowly, mobile app developers, interactive agencies, and market research companies are seeing the benefits of data analysis in evaluating mobile strategy and mobile projects.
Most mobile analytics companies are very similar: they require that you drop a small amount of their code into your app, which then allows a…
ContinueAdded by John R Davidson on February 6, 2013 at 7:00pm — No Comments
Disruptive Data Science -- Becoming a DS-Driven Enterprise
As I build out Greenplum’s Data Science Services team, I’m in a very privileged position to witness, first-hand, the organizational transformations underway across nearly all sectors, private and public. Based on these observations as well as my own personal experience at Yahoo!, I believe that any…
ContinueAdded by Annika Jimenez on February 5, 2013 at 11:00am — No Comments
IT market studies expert indicate that the advanced analysis of various data and the management of an increasing volume of data, are among the five priorities large enterprises CIOs and companies at the forefront of the world of internet. Big Data is thus increasingly important, and a growing number of companies complete their decision-making infrastructure, with new analytical platforms to improve their efficiency and profitability.
First experiences Big Data observations show…
Added by Michel Bruley on February 4, 2013 at 10:53pm — No Comments
Why R Suck and esProc Rock?
The computing in business activities involves enterprise reporting (Reporting), business data integration and cleaning (Data Integration and ETL), OLAP (Online Analysis Process), ERP (Enterprise Resource Planning), CRM (Customer…
ContinueAdded by Jim King on January 30, 2013 at 10:33pm — No Comments
The Internet of Things, Data Science and Big Data
The Internet of Things (IOT) will soon produce a massive volume and variety of data at unprecedented velocity. If "Big Data" is the product of the IOT,…
ContinueAdded by Michael Walker on January 30, 2013 at 7:30pm — No Comments
Letter from the Editor
Dear members,
I’m very pleased to announce a new addition to the DSC community – Big Data News! I’d like to personally invite you to join me on our latest Data Science Central Community Channel dedicated to all things Big Data. You can click on…
ContinueAdded by Vincent Granville on January 30, 2013 at 10:00am — No Comments
Real-time Insights on Driving Patterns from Big Data – The Next Frontier for Competitive Advantage for Automakers
Getting real-time insights on driving patterns could disrupt how automotive manufacturers compete, build, market and offer cars in the next decade and beyond. Note that I didn’t use the word “sell” which I think is fast becoming the old way of doing business – “pushing” products to consumers i.e “build it and they will come” strategy will simply not work as consumerization takes hold
A recent report from Center for Automotive Research, pegged…
Added by Balu Rajagopal on January 29, 2013 at 3:06pm — No Comments
Weekly Digest - January 26
Added by Vincent Granville on January 27, 2013 at 10:30am — No Comments
The Big Data Tidal Wave - How Technology is Shaping the way Finanical Services Companies Operate
Technology to store, manage, search and analyze Big Data leaps to the top of the agenda for Financial Institutions as enterprise NoSQL databases come of age.
Financial Institutions are focused on initiatives to survive in a world where regulatory pressure, risk mitigation and increasing volumes of data continue to pressure legacy infrastructures. Improved…
ContinueAdded by Tony Agresta on January 27, 2013 at 10:13am — 1 Comment
Top 10 Data Scientists from Gil Press A-List
Here's the current list (as of January 26), according to Gil Press, a well know data science contributor for Forbes..
The first three numbers (for each data scientist) represent reach, resonance and relevance respectively. The next three entries represent recent popular articles.…
ContinueAdded by Vincent Granville on January 26, 2013 at 9:30am — No Comments
Data Science is a Team Sport
The hype of "big data" has created a mythical god called the data scientist: a lone-wolf, super-smart human with a solid foundation in computer science, modeling, statistics, analytics,…
ContinueAdded by Michael Walker on January 23, 2013 at 9:00pm — No Comments
Looking to hire a Ning Consultant with specialized expertize
We are looking for a consultant to (initially) fix an issue with our banner ads in our two (soon to be three) Ning networks: DataScienceCentral and AnalyticBridge.
Our…
ContinueAdded by Vincent Granville on January 23, 2013 at 3:00pm — No Comments
What does Professional Reporting Software Look Like - Part I
The report is a tool to use the table and statistical chart to present the data. It is the basic need to develop business, the basic means to manage the enterprise, and the basic advantage to enhance the competitiveness. The reporting software is one of the commonest tools for business personnel. What’s such professional reporting software that is ideal for those business personnel lacking the technical experience to develop the static reports by themselves?…
ContinueAdded by Jim King on January 22, 2013 at 9:57pm — No Comments
Creepy Advertising Fraud Reaches New Levels
This is very scary: you visit a web site on an infected computer, and suddenly all the ads (e.g. about data science conferences) are replaced by irrelevant, crappy ads (e.g. about weight loss). For about 0.5 second, you can see the original ads, but they quickly get over-written by the fraudulent content. It impacts display ads, as well as contextual ads on many websites, but only on infected computers, and only…
ContinueAdded by Vincent Granville on January 22, 2013 at 7:00pm — 2 Comments
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