Data Intelligence, Business Analytics
Your credit card purchases mined by insurance companies | The Economist
To determine your premium. They check if you regularly purchase cheese burgers, cigarettes, alcohol etc.…
ContinueAdded by Mirko Krivanek on June 26, 2012 at 3:00pm — 1 Comment
Analytics Managers: How Does Your Team Compare?
Do you manage an Analytics team?
Want to find out how your team compares to the rest of the industry?
The International Institute for Analytics and Talent Analytics, Corp. have co-designed a …
ContinueAdded by Mike Kennedy on June 26, 2012 at 11:30am — No Comments
Women in Data Science, Obamacare, MapReduce stories, logistic regression
This is our new batch of popular discussions. Some are forum questions asking for member feedback. One is controversial blog posts that will make most people laugh except Americans. Comments are also very interesting to read.…
ContinueAdded by Vincent Granville on June 25, 2012 at 11:00am — No Comments
HTML for SAS Programmers
The SAS BI web clients each have their own link (or URL). When working across many customer sites or even just using my own demo sites – there can be a lot of links to track (BI Dashboard, Portal, WRS, etc). Certainly I can add bookmarks to my browser – but when moving to different systems I found it’s easier to just have a little .HTML file that I can edit as needed.
If you are not sure what I’m trying to describe – the following…
ContinueAdded by Tricia Aanderud on June 25, 2012 at 5:07am — No Comments
Ford Opens Silicon Valley Lab to Mine Big Data | Wall Street Journal
Added by Jean-Paul Rasson on June 22, 2012 at 9:30am — 1 Comment
The mythical “Data Scientist” | Forbes
For years, the data business has relied on “data specialists”. These experts understand data, and business leaders have to know who they are if they are to find answers to their questions. My friend Howard Dresner, who coined the term “Business Intelligence”, used to call this phenomenon the “black market of information”. These experts had all types of names from…
ContinueAdded by Vincent Granville on June 21, 2012 at 12:53pm — No Comments
New Data Science Resources
First, you can now browse our Data Science eBook online on Data Science Central. We are in the process of adding a lot of new material and expect to reach 140 pages by the end of the month.
We also invite you to read our weekly featured…
ContinueAdded by Vincent Granville on June 20, 2012 at 11:00pm — No Comments
call for chapter-IGI global
Dear Sir/Madam,
I trust this e-mail finds you well! You are receiving this e-mail because of your expertise in the field of data mining and its applications in social network analysis and fuzzy systems. As such, I would like to cordially invite you to consider…
ContinueAdded by vishal bhatnagar on June 20, 2012 at 10:00pm — No Comments
SAS Enterprise Guide: Writing Code to Capture New Twitter Followers
While at the SAS Global Forum, someone said to me – “You cannot write code in SAS Enterprise Guide.” It was a little shocking to me that the person thought SAS Enterprise Guide was all wizards, flow diagrams, and magic. After talking to a few other folks I have found that it is a common myth.
News Flash! You can just code in SAS Enterprise Guide! Today I’ll show you how I pull data from Outlook into SAS Enterprise Guide to create a tweet. And I’m just going to…
ContinueAdded by Tricia Aanderud on June 20, 2012 at 4:54am — No Comments
Distribution pattern
Hi All,
Could anyone please explain me that how to identify the distribution pattern of a variable...Lets suppose we have a data set and we want to know the distribution pattern (e.g - binomial , gama or any other distribution pattern) of a particular variable ...
Added by Sandeep Kumar Srivastava on June 20, 2012 at 3:28am — 4 Comments
Dashboard Confessions: The Fundamental Target Marketing Dashboard
Poor marketing dashboards and enterprise reporting presentations result in indecision. Marketing managers intuitively know when they are dealing with information that is of little value, but is presented as their only solution because of inexperienced practitioners and inflexible enterprise reporting strategies.
ContinueGain incredible insights, lead the…
Added by Sean Flanigan on June 19, 2012 at 9:00am — No Comments
Better understanding numeric data: creating fancy streaming histograms
In this post we explore a handy technique used here at BigML for understanding numeric data.
If you are familiar with the MapReduce paradigm, you've probably seen the word count example. It's a simple, distributed way to reduce a large set of words…
ContinueAdded by Jos Verwoerd on June 19, 2012 at 4:11am — 2 Comments
Four innovative ideas to optimize business processes
Added by Vincent Granville on June 18, 2012 at 8:00pm — No Comments
Pay-per-click political campaigns manipulating public opinion | Seattle Times
A controversial use of big data by Yahoo and Google to try to change voters opinions, for the presidential elections. Do you think that a rogue candidate would be ready to run large click fraud campaigns to deplete their opponents advertising budgets?
Here's the article:…
ContinueAdded by Vincent Granville on June 18, 2012 at 6:00pm — No Comments
13 contributions from DataScienceCentral and Analyticbridge members
These new postings are from our members - none of them are from us. Read, and feel free to comment,post great answers or new blog posts, and get yourself or your company featured!
On DataScienceCentral:…
ContinueAdded by Vincent Granville on June 18, 2012 at 4:30pm — No Comments
'Big Data' disguises digital doubts | USA Today
Buzzwords don't come any bigger than "Big Data," which promises to…
ContinueAdded by Jean-Paul Rasson on June 18, 2012 at 3:30pm — No Comments
SAS OLAP Cubes: Automatically Collect ARM Performance Logs
Steve Overton shares this information with us:
Collecting ARM logs can be extremely useful when tuning OLAP cubes for faster response. The ARM log (which stands for Application Response Measurement) collects vital usage information for OLAP cubes using the SAS OLAP Server logging facility. SAS OLAP Cube studio can analyze these logs to assist with aggregation building to make OLAP cubes return faster results. Angela Hall discusses…
ContinueAdded by Tricia Aanderud on June 18, 2012 at 7:25am — No Comments
Highlighting Brand And Product Features As a Function of Probability Of Response From Nested Conjoint Studies
Inform your marketing team as to which set of features to highlight, within a product, on a product conversion campaign for current customers or prospects. This design can be extended for copy and image influence before campaign targeting.
ContinueWhen we are done you will be able to simulate the response rate to a campaign as a function of how you mix together emphasis…
Added by Sean Flanigan on June 18, 2012 at 3:30am — No Comments
How to Outpace Big Banks in Four Steps
Big banks tend to make the best first impression. Bank’s potential clients who value more rewarding customer experience are currently more likely to choose a big bank. This article shows how to balance this trend.
A joint research paper by RateWatch and IntelliShop has compared how financial institutions interact with their potential…
Added by Anna Zelenskaya on June 18, 2012 at 2:30am — 2 Comments
Net Promoter Amplification: What your Social Media Guru Thought Was A New Idea
Target your Net Promoters with a fun modeling project and CRM initiative. So here is a little trick for smart people who use "little" data with advanced research designs who parter the rest of us who use big data. Use this as a mentoring opportunity to show that database marketing is here to stay and has applications in building models for social media referrals to up and coming social media gurus.
Results:
Once all is said and done, you will have a few…
ContinueAdded by Sean Flanigan on June 17, 2012 at 12:30pm — No Comments
2013
2012
2011
2010
2009
2008
© 2013 AnalyticBridge.com is a subsidiary and dedicated channel of Data Science Central LLC