This discussion was posted on our large LinkedIn group (100,000+ members) by our friend Gregory, pictured below. It has generated a tremendous volume of great comments by a number top leaders. Below is some of my comments. You can read and participate in the discussion by clicking here.…Continue
Added by Vincent Granville on December 7, 2013 at 10:00am — No Comments
As Google celebrates its 15th birthday, CeBIT’s DataCon2013 held from 9-10 October in Sydney marked the second year that we are talking about Big Data at big forums in Australia. The buzz is getting louder and the discussion has changed from "Big Data, a hype" to "Big Data, a challenge" in just about 12 months. As put forward in many white papers and blogs written in the last 10 years, Big Data is definitely the new frontier of innovation and productivity…
Added by Marie Balce on December 6, 2013 at 11:28am — No Comments
I recently presented at an event in Nashville introducing Predictive Analytics to the audience and demonstrating some live applications. Here is the video: http://vimeo.com/80917063
Added by Venky Rao on December 6, 2013 at 2:36am — No Comments
As we know, the stored procedure is designed to handle computations involving complex business logics.
In the past, the data structure and business logics were so simple that one SQL statement was enough to achieve user's computational goal. With the rapid growing of information industry, users frequently find that they need to achieve the increasingly complex computational goals to…Continue
Added by Jim King on December 5, 2013 at 6:49pm — No Comments
Healthcare Information Management Systems need updates and changes as other industries. Agile Project Management that can be utilized to manage and implement these small or large healthcare informatics projects in small chunks of work. Agile projects deliver value to the hospital/clinic management in frequent small deliveries of product in terms of software updates, addition of new modules, and update of existing modules which can also be called features. We use the traditional Waterfall…Continue
Added by Atif Farid Mohammad on December 4, 2013 at 8:20pm — No Comments
Big data analytical ecosystem architecture is in early stages of development. Unlike traditional data…Continue
Added by Michael Walker on December 4, 2013 at 7:57am — No Comments
In the late 1980s and early 1990s, the call center market was booming and it was truly the only way to give consumers access to service at their convenience while providing a vehicle for companies to up-sell and cross-sell products. Before the Internet of things that was a very effective vehicle and to some degree, it still is.…Continue
Added by Tullio Siragusa on December 4, 2013 at 3:00am — No Comments
Recently, I got an opportunity to meet and interview Mr. Steve Donoho.
Steve is founder and Chief data Scientist at Donoho Analytics Inc. He currently tops …Continue
Added by Kunal Jain on December 2, 2013 at 11:26am — No Comments
New! Plotly lets you style interactive graphs in IPython. Then, you can share your Notebook or your Plotly graph. It's like having the NYTimes graphics department inside your IPython.
Added by Matthew Sundquist on December 2, 2013 at 12:30am — No Comments
Belgacom Group is the world 8th Telecom operator, it is 1st in Belgium for Mobile phone and landline services (e.g. 4,6 million mobile phone customers). The group employs 17 000 people, is owned (53, 5%) by the Belgium state and develop landline services under the brand names of Belgacom, Telindus, Skynet. Belgacom also develop a very specific approach for its strategic positioning by balancing the product leadership, prices competitiveness and the knowledge of its…Continue
Added by Michel Bruley on December 2, 2013 at 12:12am — No Comments
My first analytics project involved predicting business from each sales agent and coming up with a targeted intervention for each agent.
I built my first linear regression model after devoting a good amount of time on data cleaning and variable preparation. Now was the time to access the predictive power of the model. I got a MAPE of 5%, Gini coefficient of 82% and a high R-square. Gini and MAPE are metrics to gauge the predictive power of linear regression model.…Continue
Added by Tavish Srivastava on December 1, 2013 at 12:25pm — No Comments
What kind of data is salable? How can data scientists independently make money by selling data that is automatically generated: raw data, research data (presented as customized reports), or predictions. In short, using an automated data generation / gathering or prediction system, working from home with no boss and no employee, and possibly no direct interactions with clients. An alternate career path that many of…Continue
We establish understanding of things in terms of Data or it will be better to say in terms of Big Data, the utilization of things, matters, issues, inventions, surroundings, maps and much more throughout our everyday life cycle, all of which has a certain data type to get input, process and output for us. Sometime we understand these in almost no time as a human, where data is being originated, what are we targeting for and more, and there are times, when some thing might take longer…Continue
Added by Atif Farid Mohammad on November 29, 2013 at 12:50am — No Comments
The Big Data Real-time Application is a scenario to return the computation and analysis results in real time even if there are huge amount of data. This is an emerging demand on database applications in recent years.
In the past, because there are not so much data, the computation is simple, and few parallelisms, the pressure on the database is not great. A high-end or middle-range database server or cluster can…Continue
Added by Jim King on November 25, 2013 at 11:58pm — No Comments
You could take a look at some traditional stat anslyses, like Cluster Analysis, and for a visual representation, try Multidimensional Scaling. These would save you a lot of time. There is no reason to reinvent the wheel, but Big Data seems intent upon ignoring the vast historical knowkedge regarding statistics, psychometrics, and Measurement Theory. Believe me- if you have a question on how to proceed with an analysis, multivariate statistics is likely to have several accaeptable answers.…Continue
Added by Mark Biernbaum on November 25, 2013 at 9:20am — No Comments
While working extensively on SAS-EG , I lost touch of coding in Base SAS. I had to brush up my base SAS before appearing for my first lateral interview. SAS is highly capable of data triangulation, and what distinguishes SAS from other such languages is its simplicity to code. There are some very tricky SAS questions and handling them might become overwhelming for some candidates. I strongly feel a need of a common thread which has all the tricky SAS questions asked in…Continue
Added by Tavish Srivastava on November 24, 2013 at 11:37am — No Comments
In this post, I discuss the basic characteristics of code that I have personally used to extract online data - in a process these days often called data-mining. I intend to cover some general features. Those that wish to do so can also compile the coding samples.
Over the years, I have programmed in a number of computer programming languages including Visual Basic, Perl, Python, and LISP (AutoLISP). The coding samples on this blog are written in Java, my language of…Continue
I have written 6 chapters out of 8. Here's the table of content, for the material already written. I will update it regularly. It will be completed in December, published by Wiley by next April. It will also become part of our apprenticeship.…Continue
A prominent discrimination case in Canada involves a firefighter named Tawney Meiorin. Meiorin had successfully performed her duties as a firefighter for many years. She lost her job after the introduction of mandatory testing to determine her fitness for the position. The testing measured aerobic capacity, and it was developed in a manner that many would regard as scientific; that is to say, it used a highly quantitative and analytic approach. However,…Continue