SPSS Directions

spss

SPSS is bringing Directions – its conference in Las Vegas. I am probably skipping this one due to my illness post travel- but it sure seems interesting for potential SPSS watchers as well as competitors in what direction will the IBM- SPSS combine move. Interesting co-sponsor SAP which until recently had been warming up to TeraData (and through it)  SAS Institute.

It would be interesting to see if they combine some of the IBM Cognos reporting software with some in future prediction intervals thanks to SPSS analytics.

Like Sales Jan- Mar 2009  Apr-Jun 2009 Jul-Aug 2009 Sep -Dec 2009 ( expected)

Also of interest- how would SPSS react to cloud computing paradigms, software as a service licensing , existing R – Python support and potential cross sell opportunities to existing customer base for IBM.

 

 

Running Stats Softwares on Clouds

If you have a small beatup laptop and want to rent say heavy hardware and expensive software, a technology demonstration is underway at www.analysis.utk.edu

We basically use a Citrix Server to run R, SAS and JMP ( among others on the Web through the browser)

Note- If you just run this on a normal Web Server with lots of hardware packed behind it- you can start giving cloud computing solutions to your clients for free.

And eliminate the OS ( Windows unless you like them ) and HW ( Read HP etc etc)

thus reducing Total Cost of Ownership for your final customers.

Is Revolution / SAS / SPSS Listening.

See Screenshot-

(Note this can be of terrific use for say software companies wanting to license out new markets in Asia as they can also analyze usage data and share the efficiencies with newer users. By adopting a Software as a Service Model ( by optimizing the revenue stream for cannibalization effects) they can also gain an advantage over more established players ( like R and SPSS /IBM can do with its need for more hardware and broader sales and distribution network)

Note- these are my personal views only and dont represent the University’s views. For more on University of Tennessee ‘s technology initiatives please go to http://oit.utk.edu/index.php where Scott Studham is using his expertise to revolutionalize the way education costs can be lowered using technology.

sas

Audio Interview Anne Milley , Part 1

Here is an interview I did at M2009 with Anne Milley, senior SAS Strategist – This is an audio interview so listen on-

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or if bandwidth is too slow, you can download the interview here itself

https://decisionstats.com/wp-content/uploads/2009/11/memo1.m4a

 

 

 

 

 

Faye Meredith of SAS was kind enough to speak aloud the questions

This was a nice follow up on the March interview

<https://decisionstats.wordpress.com/2009/03/04/interview-anne-milley-sas-part-1/>.

Biography-

Anne H. Milley is senior director of SAS’ technology product marketing in worldwide marketing, Anne Milley oversees the marketing of SAS technologies.  Her ties to SAS began with her thesis on bank failure prediction models and the term structure of interest rates.  She completed this at The Federal Home Loan Bank of Dallas and became a manager in the credit group.  She continued her use of SAS at 7-Eleven, Inc. as a senior business consultant performing sales analysis and designing and conducting tests to aid in strategic decision-making, e.g., price sensitivity studies, advertising and promotion analysis.

Milley has authored various papers, articles and an award-winning report for the 1999 KDD Contest: http://www-cse.ucsd.edu/users/elkan/kdresults.html.  She co-chaired the SAS Data Mining Technology Conferences, M2001 and M2002 as well as SAS’ inaugural forecasting conference, F2006.  She has served on web mining committees for KDD and SIAM and on the Scientific Advisory Committee for Data Mining 2002.  In 2008 she completed a 5-month working sabbatical at a major financial services company in the United Kingdom.

Disclaimer- Travel and Stay Expenses to Data Mining 2009 were paid for me by SAS Institute. This is as per FCC regulations to bloggers. All opinions expressed are personal and not representing any organization.

Data Mining 2009- Using IPhone 3GS for Audio Interviews

I just used an I Phone 3GS for the interviews at Data Mining 2009 . The next time some one comes to your company claiming to be a social media expert to do a podcast or webcast etc. –

you can show them the I Phone and use the Voice Memos function to record it yourself.

Caveat audio- records at 1 MB/Minute and more than 5 minutes can be boring to listeners as well as Iphone can send only 5 mb files by email to yourself)

If you insist on doing more than 5 minute interviews- you can save it on the 80 Gb disc of the IPhone and use ITunes to set up your Podcast.

I believe that traditional PR needs to adapt and learn these techniques less they fail to adopt to the technology changes and this is especially true for public relations for technology companies.

The I Phone has a lot of features and you can even combine them with websites like www.ustream.com to create a Video Podcast.

For free.

Ubuntu One

Here is the newest kick a** OS in town, and it’s called Ubuntu Nine One

Including personal cloud computing os like features, with grateful inputs from tech boys at G, A and Cannonical-

See/ Explore the Cloud Features here-

http://www.ubuntu.com/

u one

 

SAS on Fraud

As part of the ongoing leadership series of SAS Inc in Las Vegas here is a press release-

http://www.sas.com/news/preleases/casemanagementPBLSVegas09.html

 

SAS supplies super sleuthing powers with new case management solution

The Premier Business Leadership Series, LAS VEGAS  (Oct. 28, 2009)  –  Organizations in areas such as banking, insurance, government and healthcare need to stay one step ahead of criminals and better manage investigations of fraud and other financial crimes. New software from SAS, the leader in business analytics software and services, arms investigators with the analytical power to streamline processes and investigations, helping to reduce costs and improve fraud prevention. SAS® Enterprise Case Management is the latest component to the recently announced SAS Fraud Framework.

A 2008 survey by the Association of Certified Fraud Examiners (ACFE) revealed that 90 percent of ACFE member companies expect fraud to continue growing, with internal fraud increasing most rapidly. A recent TowerGroup report1 in August 2009 found “case management can contribute a return on investment beyond fraud and risk mitigation by reducing operating costs and even uncovering new business opportunities. Case management offers an effective and automated means to leverage data used in fraud investigation for marketing and proactive customer outreach to improve retention.”

“Leading case management technologies will make it easier to see, aggregate, and integrate operational and other firmwide risks while helping to mitigate the cost and complexity of compliance,” said Rodney Nelsestuen, Senior Research Director at TowerGroup and author of the August 2009 report.

Case management, the backbone of documenting investigations, provides information for financial reporting, such as fraud losses, and is the primary resource for filing regulatory reports to government agencies. In addition, the disposition of cases under investigation is a critical element to enhance future monitoring and overall operational efficiencies of the organization.

Other advantages of SAS Enterprise Case Management include integrating information from siloed monitoring systems used by other lines of business, products, or channels. The system offers a triage queue where users can review work items sent to the system automatically prior to appending to an existing case, creating a new case, or closing the work item. SAS Enterprise Case Management pre-populates forms and automatically prepares batch reports to help the user meet e-filing standards for regulatory submission. The system includes interactive dashboards that enable management to analyze operational performance of investigative functions and recognize trends to provide improved oversight and governance of risk management practices.

Today’s announcement came at The Premier Business Leadership Series event in Las Vegas, a business conference presented by SAS that brings together more than 600 attendees from the public and private sectors to share ideas on critical business issues.

1. TowerGroup. The Evolution of Case Management: Converging Fraud, Risk, and Opportunity Management, Rodney Nelsestuen, August 31, 2009.

About SAS

Back to Recent SAS Press Releases

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers at more than 45,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know® .

Webcasts: Oracle Data Mining

How to do Data Mining for free? See these webcasts- unless you are too busy writing cheques for other softwares.

Wednesday, November 4, 12 noon Eastern
BIWA SIG Wednesday TechCast Series – 11th Event!
Oracle Data Mining for Text, Clustering, and Classification: Case Study of the Oracle OpenWorld Recommendation Engine
Mark Hornick –  Oracle Data Mining Development – Oracle

Returning from Oracle OpenWorld 09, some of the hot topics for data mining include text mining, document clustering, and recommendation engines. Learn how Oracle Data Mining was used in the Schedule Builder application at Oracle OpenWorld 2008 and 2009 to generate session recommendations and find similar and related sessions. This session includes a demonstration using the advanced text mining features of the Oracle Data Miner user interface. We also characterize recommendation effectiveness using objective test metrics and summarize recommendation usage.

Presenter:
Mark Hornick is Senior Manager, Data Mining Development, in Oracle’s Server Technology organization.  He has many years experience in data mining and is a leader of the JSR-73 standards body for data mining.  Mark wrote the book  Java Data Mining:  Strategy, Standard and Practice.

Audio Dial-In: 866 682 4770  Audio Meeting ID:  1683901  Audio Meeting Passcode:  334451
Web Conference: https://conference.oracle.com/imtapp/app/cmn_jm_hub.uix?mID=161895628
Compatibility Check:  If you have not used Oracle’s web conference system before, please ensure your system    compatibility by going to https://conference.oracle.com/imtapp/app/nuf_sys.uix.

Other Wednesday TechCasts Coming Soon (always at noon Eastern time)
– Mark Your Calendars!

  • November 18, 2009 – OBIEE Case Study:  A High Performance Reporting Platform at Gallup
    Swapan Golla and Tom Ruhlman – Analytics and Gallup Net Analytics, Gallup Inc.
  • December 9, 2009 – Best practices for deploying a Data Warehouse on Oracle Database 11g
    Maria Colgan – Oracle Data Warehousing Product Management, Oracle