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
What Makes Self-service Statistical Computing Tools So Important?
Worldwide IT spending will continue to grow in 2013 according to Forrester research and self-service computing and analytics is one driver for the growth. Self-service statistical computing tools are also a top trend of business intelligence in 2013 based on some predictions. Data from various aspects show that self-service statistical computing and analytics tools are in growing need. Even some big companies shifted their…
ContinueAdded by Jessica Qiu on January 22, 2013 at 6:23pm — No Comments
The Disruptive Power of Big Data in the 2012 Presidential Election
Added by Vincent Granville on January 18, 2013 at 10:30am — No Comments
Giviing Big Data Publishing the Royal Treatment
A NoSQL database from MarkLogic provides the Royal Society of Chemistry (RSC) with the ability to unlock a treasure trove of assets. Now the RSC can publish three times as many journals and four times as many articles. It also gave the Society the ability to develop new educational applications to make chemistry accessible to a wider audience.
Modern approaches to information products replete with full text search have the power to transform your business. Built on an enterprise…
ContinueAdded by Tony Agresta on January 18, 2013 at 5:55am — No Comments
No Holy Grail: Moving Beyond the Data Warehouse
Cloud data, cubes, relational databases, flat files, unstructured data... the list goes on and on. Ten years ago, many would have said that the future of data and business intelligence lay in unified, cohesive data warehouses where organizations could store all of their datasources (after ETL, of course). The future is here, but many organizations are finding that their databases are maturing and growing faster than their ability to integrate them into their data warehouse.
This…
ContinueAdded by Ross Perez on January 17, 2013 at 9:53am — No Comments
Data Science Technologies Ecosytem
Added by Michael Walker on January 16, 2013 at 3:54pm — 1 Comment
The Curse of the Bell Curve – Part 2
The ‘Bell curve’ or the ‘Gaussian bell curve’ is one of the fundamental concepts on which most of the statistical analysis is based. From social sciences to astronomy to financial services- most of the application of statistics in the real world relies on the assumption that the data being analysed…
ContinueAdded by Gaurav Vohra on January 15, 2013 at 12:29am — No Comments
Seven Drawbacks of Traditional OLAP
In 1993, E.F. Codd, the acknowledged founder of relational databases, introduced the term Online Analytical Processing (OLAP). OLAP is intended for the non-data processing professionals like the business expert, and is expected to be intuitive, rapid, and flexible.
Intuitive user interface: clear a technical roadblock for business personnel to operate freely
Rapid analysis procedure: accommodate the fast-changing…
ContinueAdded by Jim King on January 14, 2013 at 8:18pm — No Comments
Introduction to Classification & Regression Trees (CART)
Added by Venky Rao on January 13, 2013 at 5:56pm — No Comments
Weekly Digest Special Edition: Most Popular Articles of all Time
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Added by Vincent Granville on January 12, 2013 at 1:30pm — 1 Comment
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