data mining 2009 – DECISION STATS

Data Mining Presentation at M2009 by Dr Vincent Granville

Here is a Data Mining Presentation by Dr Vincent Granville at M 2009.

I could not see the presentation as I know him only through remote internet communication, but he did recommend me on LinkedIn and for my application for the University of Tennessee.

here is the presentation on the docs on Google DOCs

http://docs.google.com/fileview?id=0B9YMMvghK2ytM2IyMzQzYjUtY2VlOC00ZmQ1LWJjZWItZjU2YjdmMTRlYTc4&hl=en

ps-

Hey Doc,
How’s Paris doing.
Ajay

pps-

The download is also available here.

Granville(2)

ppps- He is the same person whom I worked last winter as a research ass is tant and got paid 28 cents per 1000 rows for all the statisticians in the world – read more about that here

https://decisionstats.wordpress.com/2009/11/30/weak-security-in-internet-databases-for-statisticians/

Tera Data and SAS innovate together

I missed out posting this one- it’s the big big news of Tera Data and SAS coming closer to create a much needed Business Analytics Centre.

SAS and Teradata will establish a Business Innovation Analytic Center.

In conjunction with Elder Research Inc., the Center will offer leading-edge analytic thinking and implementation.

Core news facts:

With this centralized “think-tank,” customers can discuss analytic best practices with domain subject matter experts and quickly test or implement innovative models focused on uncovering unique insights for optimizing business operations.

The Business Analytic Innovation Center will combine the strengths of SAS, Teradata and Elder Research (the world’s leading analytical consulting firm for data mining and predictive analytics) to help customers across all industries grow revenue, reduce risk and improve operations.

The Center will incorporate unmatched thought leadership with a visionary lab for pilot programs, analytic workshops, and proofs-of-concept for prospective customers across a myriad of industries, including financial services, retail, government, health care and life sciences, and insurance.

Also see- http://www.sas.com/partners/directory/teradata/index.html

teradata1

Press Release

CARY, NC (Oct. 26, 2009) – Recognizing the growing need and challenges businesses face driving operational analytics across enterprises, SAS and Teradata are planning to establish a centralized “think tank” where customers can discuss analytic best practices with domain and subject-matter experts, and quickly test or implement innovative models that uncover unique insights for optimizing business operations. The Business Analytics Innovation Center will combine the strengths of SAS, the leader in business analytics <http://www.sas.com/businessanalytics/> software and services, Teradata Corporation <http://www.teradata.com> (NYSE: TDC <http://www.nyse.com/about/listed/lcddata.html?ticker=TDC> ), the world’s largest company solely focused on data warehousing <http://www.teradata.com/t/enterprise-data-warehousing/> and enterprise analytics <http://www.teradata.com/t/business-needs/data-mining-and-analytics/> , and Elder Research Inc <http://www.datamininglab.com/> . (ERI), the world’s leading analytical consulting firm for data mining and predictive analytics, to help customers across all industries grow revenue, reduce risk and improve operations.

“For decades, SAS, Teradata and ERI have provided state-of-the-art analytical solutions for their respective customers,” said Jim Davis, SAS Senior Vice President and Chief Marketing Officer. “The Business Analytics Innovation Center combines our individual strengths for a robust approach to enterprise analytics. By acting faster and asking questions they previously couldn’t ask or didn’t think of, participating clients will be able to improve their operations and strengthen competitive advantage.”

The Center will incorporate unmatched thought leadership with a visionary lab for pilot programs, analytic workshops, and proofs of concept for prospective customers across a myriad of industries, including financial services, retail, government, health care and life sciences, and insurance.

The joint offerings that will comprise the Center are expected to yield powerful results. For example, a top global consumer electronics firm used resources from ERI that will become part of the Business Analytics Innovation Center to discover and prevent fraud committed by clients and partners. Within the first year, the firm recovered more than $20 million.

They continue to rely on ERI for new analytical programs, rewarding their anti-fraud division’s effectiveness with expanded budget, staff and charter.

(Note from Ajay- Read earlier article on case management solutions by SAS in recent press release announcement at Business Leadership series ( the event following the Data Mining 2009 series)

Screenshot- Terrific web and social media campaign by www.teradata.com

( The Only BI company I know of that has an Iphone application AND a Facebook application)

Aster Data : Big Data Bigger Analytics Campaign

My favorite ( as of now) company in Big Data is Aster Data* ( I am partial to companies founded by Stanford Alumni having interacted with a lot of them while working with Trilogy- another Stanford dropout alumni company. There are also not too many Silicon Valley startups by us famously non intellectual Punjus

Q- What is the culture in Punjab A- In Punjab the only culture is agriculture)

Aster Data has correctly hit the marketing hammer on the nail of bigger data and with the quantities of data expanding rapidly this is a lucrative market to get into ( as pointed by our favorite analytics journal NY Times)

Aster Data’s products of nCluster and nPath with MapReduce SQL, and the recent interactions with SAS Institute hold them in a nice promising place but with miles to go before they even rest ( or start thinking of that IPO)

Aster were present at Data Mining 2009 with terrific response to their booth.

As a techie wannabe stats frat boy, I like the Aster nPath product more (Time Series) but the analytics within database claim with nCluster needs to be investigated and even tested further. Especially if you need three days to get your monthly summary report.

( *and also an advertiser, sponsor to Big Data Summit as per FCC regulations)

The Data Services and Applications with flexibility for cloud computing is what makes this especially appealing from a product perspective while their relatively small size ( as compared to other bigger Vend- ORs) gives alliance partners more leverage in colloborating in Research and Design and maybe even co bundling applications.

Screenshots- Courtesy -The Lovely www.asterdata.com website ( Webmasters of other websites especially IBM and Oracle’s should take note how a website can have lots of content and yet be readable)

Also I will be posting the remaining Data Mining 2009 interviews shortly (including Part 2 with Anne) and share some/all of the presentations via SlideShare embedding in WordPress.com ( post permission).

As for the Aster Data Interviews- I owe Peter Pavloski and the readers one. Coming up soon.

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-

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

https://decisionstats.files.wordpress.com/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.