Category: Analytics

Best Internet Site of 2009

Here is the best internet site of 2009.
It basically shows how many jobs have been created per dollar spent.
Funded by the debt of American Treasuries………

Here is the best internet site of 2009.
It basically shows how many jobs have been created per dollar spent.
Funded by the debt of American Treasuries
sold to Chinese.

Remember the Chinese Opium Wars.
Well the Chinese are hooked to American Treasuries and they probably need a Warship with Admiral to open their markets and currency. Oui!

Well anyway the website is called http://Recovery.gov

Open Source Webinar with AsterData

Learn how to make money from open source databases, some business intelligence and more business analytics in this webinare at here.

FCC Disclaimer ( even though it is one day before the rules for Bloggers come in effect)-

AsterData is an advertiser on this blog. See the ad on right.

MapReduce was released by Google in 2004 as how to do big data crunching faster.

Google is not an advertiser nor partner on this site. They are busy with mobile phones and advertising (like the TV series Mad Men.)

And yes, Sergey Brin needs to finish his  Phd too.

Ponder This: IBM Research

 

 

 

 

 

 

 

 

 

 

 

 

 

Ponder This Challenge:

 

What is the minimal number, X, of yes/no questions needed to find the smallest (but more than 1*) divisor of a number between 2 and 166 (inclusive)?

We are asking for the exact answer in two cases:

In the worst case, i.e., what is the smallest number X for which we can guarantee finding it in no more than X questions?

On average, i.e., assuming that the number was chosen in uniform distribution from 2 to 166 and we want to minimize the expected number of questions.

* For example, the smallest divisor of 105 is 3, and of 103 is 103.

Update (11/05): You should find the exact divisor without knowing the number and answering “prime” is not a valid

Citation-

http://domino.research.ibm.com/Comm/wwwr_ponder.nsf/pages/index.html

A maths challenge by the boys in Blue above and also in employement news, the parent company of SPSS is opening a centre of advanced analytics right here in Washington D.C.

WASHINGTON – 10 Nov 2009: IBM (NYSE: IBM) today announced the opening of the sixth in a network of analytics solution centers – this one dedicated to helping federal agencies and other public sector organizations extract actionable insights from their data.

The new IBM Analytics Solution Center in Washington, D.C., will draw on the expertise of more than 400 IBM professionals. These will include IBM researchers, experts in advanced software platforms, and consultants with deep industry knowledge in areas such as transportation, social services, public safety, customs and border management, revenue management, defense, logistics, healthcare and education. IBM also plans to add an additional 100 professionals, through retraining or new hiring, as demand grows.

SAS with the GUI Enterprise Guide (Updated)

Here is a slideshow I made using Google Docs ( which is good except the PDF version is much worse than Microsoft Slidehare). It is on the latest R GUI called AwkWard. It is based on the webpage here

http://docs.google.com/View?id=dcvss358_1015frg4k8gj

In my last post on WPS , R and Sas I had briefly shown a screenshot of SAS Enterprise Guide with a single comment on how it could do with a upgrade in it’s GUI. Well it seems that the upgrade has been available since March 2009, but probably not applied since no one noticed even once in the Fall Semester here in the Tennessee ( including people from the University who read this blog 🙂 Actually the upgrade was made to local machines but there is also a cloud version but didnt apply the upgrade – where we can use Citrix Server to just run analytics on the browser

Here is a revised update of SAS Enterprise Guide 4.2

SAS Enterprise Guide is a Windows interface to SAS that allows for SAS programming *and* point-and-click tasks for reporting, graphs, analytics, and data filter/query/manipulation. SAS Enterprise Guide can work with SAS on your local machine, and it can connect to SAS servers on Windows, Unix/Linux, and the mainframe.

It doesn’t have decision tree support; that’s provided by a more specialized application for data mining called SAS Enterprise Miner.

And you can easily extend SAS Enterprise Guide with your own tasks. See http://support.sas.com/eguide. You do not need SAS/Toolkit. You can use off-the-shelf development tools for Microsoft .NET, including the freely available express editions of Microsoft Visual C# or Visual Basic .NET.

With credit to Chris from SAS for forwarding me the correct document and answers.

PS-
It would be great if the SAS User Conferences Archives used slideshare or Google Docs ( PDFs are so from the 90s) for saying displaying the documents at the sascommunity.org ( which took the twitter id @sascommunity after two months of requests,threats and friendly pleas from me- only to not use it actively except for one Tip of the Day Tweet, sigh)

The declining market for Telecommunication Churn Models

[tweetmeme=”decisionstats”]

Users of Predictive Analytics within telecom sector can look into an interesting side effect of the iPhone – AT &T agreement. With Google also jumping into the market with it’s Droid – the new norms in Telecom agreements is lockedin contracts for consumers. While this is permitted by the telecom regulators as fair to competition- this also means that there is very little churn within these locked in contracts. This leads to further savings for the telecom provider allowing them to have higher profits and even share the profits by price decreases-

and thus the traditional bug bear of telecom analytics churn modeling is slowly losing importance to plain vanilla reporting or better data mining dashboard like solutions. Lower Churn , means also lower costs on analytics softwares to predict churn.

As competition within the 3G Mobile market ramps up due to Google’s entry and licensing with partners exclusively- the trend will likely increase for reduced churn due to locked in customers.Even existing mobile providers can offer discounts to lock in customers for not switching ( especially in Mobile Markets like India- where I have personally interacted with large players like Bharti) and China which has even bigger mobile market.

Ergo Lower need to buy softwares that predict churn-

See Below Image from TeraData’s Churn Model.