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… Continue
Added by Jim King on January 30, 2013 at 10:33pm —
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,… Continue
Added by Michael Walker on January 30, 2013 at 7:30pm —
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… Continue
Added by Vincent Granville on January 30, 2013 at 10:00am —
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 —
Also check the Additional Resources section at the bottom.
- Top 10 Data Scientists from Gil Press A-List
Added by Vincent Granville on January 27, 2013 at 10:30am —
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… Continue
Added by Tony Agresta on January 27, 2013 at 10:13am —
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.… Continue
Added by Vincent Granville on January 26, 2013 at 9:30am —
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,… Continue
Added by Michael Walker on January 23, 2013 at 9:00pm —
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.
Added by Vincent Granville on January 23, 2013 at 3:00pm —
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?… Continue
Added by Jim King on January 22, 2013 at 9:57pm —
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… Continue
Added by Vincent Granville on January 22, 2013 at 7:00pm —
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… Continue
Added by Jessica Qiu on January 22, 2013 at 6:23pm —
Live webcast …
Added by Vincent Granville on January 18, 2013 at 10:30am —
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… Continue
Added by Tony Agresta on January 18, 2013 at 5:55am —
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.
Added by Ross Perez on January 17, 2013 at 9:53am —
Added by Michael Walker on January 16, 2013 at 3:54pm —
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… Continue
Added by Gaurav Vohra on January 15, 2013 at 12:29am —
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… Continue
Added by Jim King on January 14, 2013 at 8:18pm —
Decision Trees are commonly used in data mining with the objective of creating a model that predicts the value of a target (or dependent variable) based on the values of several input (or independent variables). In today's post, we discuss the CART decision tree methodology. The CART or Classification &… Continue
Added by Venky Rao on January 13, 2013 at 5:56pm —
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Added by Vincent Granville on January 12, 2013 at 1:30pm —