Category: google

Google Web Intelligence (Beta)

Here is a screenshot from the kind of insights that can be created by the new Intelligence features in the free Google Analytics.

It can be used in websites as well as technical support websites to help create customer segments based on Behavior of visitors.


Avg. Time on Site
00:03:23 81%
expected: 00:01:23-00:01:59		 Total Traffic Significance:
00:06:29 180%
expected: 00:01:59-00:02:48		 Landing Page: /
36 Visits (15.3% of total)		 Significance:

Bounce Rate
51.49% 29%
expected: 71.50%-73.53%		 Total Traffic Significance:
49.69% 30%
expected: 67.03%-73.71%		 Visitor Type: New Visitor
163 Visits (69.4% of total)		 Significance:
53.23% 27%
expected: 68.88%-76.93%		 Country/Territory: United States
124 Visits (52.8% of total)		 Significance:
55.56% 26%
expected: 70.66%-79.68%		 Visitor Type: Returning Visitor
72 Visits (30.6% of total)		 Significance:

Pageviews
578 162%
expected: 199-221		 Total Traffic Significance:
333 233%
expected: 95-108		 Country/Territory: United States
124 Visits (52.8% of total)		 Significance:
428 178%
expected: 136-170		 Visitor Type: New Visitor
163 Visits (69.4% of total)		 Significance:
213 168%
expected: 70-84		 Medium: referral
93 Visits (39.6% of total)		 Significance:
116 86%
expected: 61-87		 Source: google
56 Visits (23.8% of total)		 Significance:
150 122%
expected: 62-76		 Visitor Type: Returning Visitor
72 Visits (30.6% of total)		 Significance:

Visitors
201 74%
expected: 111-120		 Total Traffic Significance:

Visits
235 97%
expected: 112-124		 Total Traffic Significance:
124 112%
expected: 0-58		 Country/Territory: United States
124 Visits (52.8% of total)		 Significance:
75 115%
expected: 0-41		 Source: (direct)
75 Visits (31.9% of total)		 Significance:
163 95%
expected: 0-85		 Visitor Type: New Visitor
163 Visits (69.4% of total)		 Significance:
93 144%
expected: 0-41		 Medium: referral
93 Visits (39.6% of total)		 Significance:
72 76%
expected: 0-43		 Visitor Type: Returning Visitor
72 Visits (30.6% of total)		 Significance:
51 107%
expected: 0-25		 Source: linkedin.com
51 Visits (21.7% of total)		 Significance:
48 98%
expected: 0-26		 Referral Path: linkedin.com/news
48 Visits (20.4% of total)		 Significance:

Google stuck on Gears

Google has launched support for Droid the mobile operating system but forgot to include support for their own browser- Chromium. Atleast if you can support Windows Explorer and Firefox for Gears, surely you can add support for Gears for Chromium.Maybe with an Ad or two 😉 .Since Al Gore invented the internet and he sits as a consultant for the California boys, maybe he can advise them as well on the anti trust investigations with Apple (cough).

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.

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.

Twitter Cloud and a note on Cloud Computing

That’s what I use twitter for. If you have a twitter account you can follow me here

http://twitter.com/decisionstats

A couple of weeks ago I accidentally deleted many followers using a Twitter App called Refollow- I was trying to clean up people I follow and checked the wrong tick box-

so please if you feel I unfollowed you- it was a mistake. Seriously.

[tweetmeme=”decisionstats”]

 

 

 

 

 

 

 

 

 

 

 

 

On Cloud Computing- and Google- rumours ( 🙂 ) are emerging that Google’s push for cloud computing is to turn desktop computing to IBM like mainframe computing .  Except that there are too many players this time. Where is the Department of Justice and anti trust – does Amazon qualify for being too big in cloud computing currently.

Or the rumours could be spread by Microsoft/ Apple / Amazon competitors etc. Geeks are like that sometimes.

The Cloud OS is finally here or is it?: Karmic Koala

Screenshot-34

see screenshot for cloud OS services in latest version of Ubuntu tobe launched in 5 days at http://www.ubuntu.com

( I am using the 9.10 latest beta since I figured 5 days earlier beta should be okay)

The Cloud OS properties are using browser and are called Ubuntu One

The browser used is Google Chrome.

Nice one, stanford dropouts. Really nice!

Note the line launchpad based services and uses secure id to ensure a connection as well as collect data for analysis as well

as real estate for possible advertisements.

Ball in Uncle Billy ‘s court now.

Note-The icon had some issues with opening more than one session parallely and showed edit preferences. So it could be a Google Joke as well

Easter Egg with an April variation. LOL

Google Patents

Now this may be old news, but in case it is not- here is the Google Patents Search

Screenshot-17

Just go and search at

http://www.google.com/patents

For example did you know that the PageRank Patent is assigned to Stanford ( which is the reason they have more money than err. many Universities combined…not a great football program though)

http://www.google.com/patents/about?id=cJUIAAAAEBAJ

Or you can see the Slidehshare.net version ( which is Ironic since Google Docs is not good enough to share the Pdf as of yet)

Inventor: Lawrence Page
Assignee: The Board of Trustees of the Leland Stanford Junior University
Primary Examiner: Uyen Le

Page Rank Patent of Google

View more documents from ajayohri.
. Hic

So the next time you have a bright idea on Sunday afternoon after some beers, check and see if you are the first one to think of it