Ajay Ohri

SPSS Directions : Rexer Survey Results

Here are some results shared by Dr Karl Rexer of Rexer Analytics- they were presented at SPSS Directions. Clementine was #1 in customer satisfaction — everyone (N=78) who identified it as their primary tool were satisfied or very satisfied. It’s pretty amazing that not even one person was neutral (it was a 5-point scale).

For a detailed poster on the results contact http://www.RexerAnalytics.com More than 710 data mining professionals had completed the survey.

Here are some results shared by Dr Karl Rexer of Rexer Analytics- they were presented at SPSS Directions

When asked to select all of the software packages they use for data mining, each person selected an average of 5 tools. More data miners reported using SPSS Statistics than any other tool. And when we asked people to indicate their primary data mining tool, the tool selected by the most data miners was SPSS Modeler (Clementine). The SPSS people were also thrilled to see that Clementine was #1 in customer satisfaction — everyone (N=78) who identified it as their primary tool were satisfied or very satisfied. It’s pretty amazing that not even one person was neutral (it was a 5-point scale).

For a detailed poster on the results contact www.RexerAnalytics.com More than 710 data mining professionals had completed the survey.

Time for the PAWS Conference

I just got an email from the great Dr Eric Siegel, one of my many mentors in this field of learning analytics and data. There are just three more days left for the Early Bird Price- so if you are doing your Media Planning Budget – it is a good time to register here. You can click on the screenshot itself to go to Registration Page.

Christmas Carol: The Best Software (BI-Stats-Analytics)

There is no best software- they are just optimized for various constraints and tangible as well as intangible needs as defined for users.

There is no best software- they are just optimized for various constraints and tangible as well as intangible needs as defined for users. ( Image below Citation- support.sas.com )
Price in products is defined as Demand divided by Supply. Sometimes this is Expected Demand over Expected Supply ( see Oil Prices) Everyone grumbles over prices but we pay what we think is fair. ( citation http://bm2.genes.nig.ac.jp/RGM2/index.php?ctv=Survival
Prices in services are defined by value creation as well- Value= Benefit Divided by Cost Benefits are tangible as in how much money it saves in fraud as well as intangible – how easy it is to start using JMP versus R Commander Costs are Tangible- How much do we have to pay using our cheque book for this annual license or perpetual license or one time license or maintain contract or application support.Intangible costs are how long I have to hold the phone while talking to customer support and how much time it takes me to find the best solution using the website on my own without a sales person bothering me with frequent calls. (citation- http://academic.udayton.edu/gregelvers/psy216/spss/graphs.htm#tukey
All sales people ( especially in the software industry) spam you with frequent calls, email reminders and how their company is the best company ever with the best software in the history of mankind. That is their job and they are pushed by sales quotas and pulled by their own enthusiasm to sell more to same customer. If you ever bought three licences and found out you just needed two at the end of the year- forgive the salesman. As Arthur Miller said’ All Salesmen are Dreamers (Citation of STATA graph below http://www.ats.ucla.edu/stat/Stata/library/GraphExamples/code/grbartall.htm)
Technology moves faster than you can say Jackie Robinson. and it is getting faster. Research and Development ( R and D) will always move slower than the speed at which Marketing thinks they can move. See http://www.dilbert.com for more insights on this. You either build a Billion Dollar in house lab ( like Palo Alto – remember) or you go for total outsourcing (like semi conductors and open source do). Or you go for a mix and match. ( Citation- http://people.sc.fsu.edu/~burkardt/html/matlab_graphics/matlab_graphics.html )

Based on the above parameters the best statistical software for 2009 continues to be the software that uses a mixture of Genetic Algorithms, Time Series Based Regression and Sampling – it is the software that runs in the head of the statistical /mathematical / customer BRAIN

Thats the best Software ever.

(Citation – Hugh of http://gapingvoid.com/ )

Happy Hols

Innovative ways of Calculus: Gifting a comic set for Christmas

If you though understanding Calculus was OMG so Freaking Tough-
here is an Artistic Way to read and improve your Maths.
Why Improve Maths.
Helps you while watching football and baseball with your BFF.

Helps you choose a very good looking mobile with an inexpensive mobile plan.
Helps you calculate the mortgage and credit card rates while reading the fine print.

Helps you get the Insurance or Health Insurance with

lowest premium over highest approval

Nopes- Maths is easy and inexpensive. You can read this for just 75 dollars. All six comics. Or gift it to someone you love who is having trouble with maths.

Screenshot Citation-

Manga Guides ( courtesy Japanese Civilization)
No Starch Press – helped by O Reilley Media Since 2004.
Sarah Blow- Founder of Girlly Geek Dom ( UK Based) (http://girlygeekdom.com/ )
Ajay Ohri- Founder of Dude of Data (KN, TN) ( http://dudeofdata.com/ )

TeleMarketing 101

If you think marketing is all about thinking one more promotion,

one special offer, lets get their data, mine it /spam it,

offer initial lower entering barriers like a cheap price for software,

steep exit barriers like oh all your code is now in our proprietary system and your analysts are addicted to our conferences, documentation and papers-

Think Again

remember this video—

Citation- YouTube, AND Green is Boring (http://greensboring.com/)

Join us on Facebook at http://facebook.com/decisionstats

2009 Wrap Up

Top Events in the world of Software-Online, Statistical and Enterprise

1) Mergers and Acquisitions

IBM-SPSS and ADOBE -Omniture were clearly the biggest mergers and acquisitions.

2) Products

Windows 7 didnt bomb, SAS embraced R, REvolution Computing launched Linux Flavored Enterprise R.

Teradata and SAS launched an centre of excellence. Aster Data announced the nPath and Hadoop connector

while Oracle pitched fusion apps. Mictosoft did Azure and also data mining via excel. So did Zemetis with the ADAPA via Excel feature.

3) Financially it seemed like a much better year than had been expected for BI and software.

4) Conferences- There were two Predictive Analytics Conferences, SPSS had Directions while SAS had it’s global forum as well as Data Mining 2009 and Leadership Series.

5) Communities- Smart Data Collective was launched, and Analyticbridge also gained rapid strides. But BEYE Network remained the leader till 2009 end.

6) Social Media was embraced , criticized, discussed and pondered upon every alternate month. Twitter rose, Facebook zoomed, Linkedin soldiered on while MySpace seemed largely irrelevant in this.

7) Cloud came and went away without any R AIN. Not to be dis heartened 2010 is now the year of the cloud. Hope endures

8) Apple launched an Ipod, Blackberry launched storm and Google launched Android. Apple piled up cash like nothing before.

9) There were no hurricanes but everyone shouted global warming so many times, the collective carbon offtake from global warming conferences was worth measuring.

10) The R Project gained massive publicity this year and the number of packages continued full steam. WPS and SAS got entangled in a legal cricket match. Almost none of the developers I know switched alligience from one software to another. Indeed the statistical pie grew bigger and the New York Times even mentioned statisticians as a sexy job. That in itself was a miracle.

And that’s all folks- see you in the New Year 2010.

Who was that? Blog Comments

If someone has been spamming you with dumb comments here is a method to find who they are without even having advanced analytics knowledge.

This assumes you use WordPress Blogs.

See the screenshot of comment to get the IP Address.

It appears below each comment as a number like 89.99.139.67 or see below- the place for the Mouse Pointer

From Wikipedia

http://en.wikipedia.org/wiki/IP_address

“A name indicates what we seek. An address indicates where it is. A route indicates how to get there.”

Take the number and search it here

http://ws.arin.net/whois/

Thats the American Registry for Internet Numbers.