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Analytics 2012 Conference
from http://www.sas.com/events/analytics/us/index.html
Analytics 2012 Conference
SAS and more than 1,000 analytics experts gather at
Caesars Palace
Analytics 2012 Conference Details
Pre-Conference Workshops – Oct 7
Conference – Oct 8-9
Post-Conference Training – Oct 10-12
Caesars Palace, Las Vegas
Keynote Speakers
The following are confirmed keynote speakers for Analytics 2012. 
Since he co-founded SAS in 1976, Jim Goodnight has served as the company’s Chief Executive Officer.
Dr. William Hakes is the CEO and co-founder of Link Analytics, an analytical technology company focused on mobile, energy and government verticals.
Tim Rey has written over 100 internal papers, published 21 external papers, and delivered numerous keynote presentations and technical talks at various quantitative methods forums. Recently he has co-chaired both forecasting and data mining conferences. He is currently in the process of co-writing a book, Applied Data Mining for Forecasting.
http://www.sas.com/events/analytics/us/train.html
Pre-Conference
Plan to come to Analytics 2012 a day early and participate in one of the pre-conference workshops or take a SAS Certification exam. Prices for all of the preconference workshops, except for SAS Sentiment Analysis Studio: Introduction to Building Models and the Business Analytics Consulting Workshops, are included in the conference package pricing. You will be prompted to select your pre-conference training options when you register.
Sunday Morning Workshop
SAS Sentiment Analysis Studio: Introduction to Building Models
This course provides an introduction to SAS Sentiment Analysis Studio. It is designed for system designers, developers, analytical consultants and managers who want to understand techniques and approaches for identifying sentiment in textual documents.
View outline
Sunday, Oct. 7, 8:30a.m.-12p.m. – $250
Sunday Afternoon Workshops
Business Analytics Consulting Workshops
This workshop is designed for the analyst, statistician, or executive who wants to discuss best-practice approaches to solving specific business problems, in the context of analytics. The two-hour workshop will be customized to discuss your specific analytical needs and will be designed as a one-on-one session for you, including up to five individuals within your company sharing your analytical goal. This workshop is specifically geared for an expert tasked with solving a critical business problem who needs consultation for developing the analytical approach required. The workshop can be customized to meet your needs, from a deep-dive into modeling methods to a strategic plan for analytic initiatives. In addition to the two hours at the conference location, this workshop includes some advanced consulting time over the phone, making it a valuable investment at a bargain price.
View outline
Sunday, Oct. 7; 1-3 p.m. or 3:30-5:30 p.m. – $200
Demand-Driven Forecasting: Sensing Demand Signals, Shaping and Predicting Demand
This half-day lecture teaches students how to integrate demand-driven forecasting into the consensus forecasting process and how to make the current demand forecasting process more demand-driven.
View outline
Sunday, Oct. 7; 1-5 p.m.
Forecast Value Added Analysis
Forecast Value Added (FVA) is the change in a forecasting performance metric (such as MAPE or bias) that can be attributed to a particular step or participant in the forecasting process. FVA analysis is used to identify those process activities that are failing to make the forecast any better (or might even be making it worse). This course provides step-by-step guidelines for conducting FVA analysis – to identify and eliminate the waste, inefficiency, and worst practices from your forecasting process. The result can be better forecasts, with fewer resources and less management time spent on forecasting.
View outline
Sunday, Oct. 7; 1-5 p.m.
SAS Enterprise Content Categorization: An Introduction
This course gives an introduction to methods of unstructured data analysis, document classification and document content identification. The course also uses examples as the basis for constructing parse expressions and resulting entities.
View outline
Sunday, Oct. 7; 1-5 p.m.
Introduction to Data Mining and SAS Enterprise Miner
This course serves as an introduction to data mining and SAS Enterprise Miner for Desktop software. It is designed for data analysts and qualitative experts as well as those with less of a technical background who want a general understanding of data mining.
View outline
Sunday, Oct. 7, 1-5 p.m.
Modeling Trend, Cycles, and Seasonality in Time Series Data Using PROC UCM
This half-day lecture teaches students how to model, interpret, and predict time series data using UCMs. The UCM procedure analyzes and forecasts equally spaced univariate time series data using the unobserved components models (UCM). This course is designed for business analysts who want to analyze time series data to uncover patterns such as trend, seasonal effects, and cycles using the latest techniques.
View outline
Sunday, Oct. 7, 1-5 p.m.
SAS Rapid Predictive Modeler
This seminar will provide a brief introduction to the use of SAS Enterprise Guide for graphical and data analysis. However, the focus will be on using SAS Enterprise Guide and SAS Enterprise Miner along with the Rapid Predictive Modeling component to build predictive models. Predictive modeling will be introduced using the SEMMA process developed with the introduction of SAS Enterprise Miner. Several examples will be used to illustrate the use of the Rapid Predictive Modeling component, and interpretations of the model results will be provided.
View outline
Sunday, Oct. 7, 1-5 p.m
SAS Institute Financials 2011
SAS Institute has release it’s financials for 2011 at http://www.sas.com/news/preleases/2011financials.html,
Revenue surged across all solution and industry categories. Software to detect fraud saw a triple-digit jump. Revenue from on-demand solutions grew almost 50 percent. Growth from analytics and information management solutions were double digit, as were gains from customer intelligence, retail, risk and supply chain solutions
AJAY- and as a private company it is quite nice that they are willing to share so much information every year.
The graphics are nice ( and the colors much better than in 2010) , but pie-charts- seriously dude there is no way to compare how much SAS revenue is shifting across geographies or even across industries. So my two cents is – lose the pie charts, and stick to line graphs please for the share of revenue by country /industry.
In 2011, SAS grew staff 9.2 percent and reinvested 24 percent of revenue into research and development
AJAY- So that means 654 million dollars spent in Research and Development. I wonder if SAS has considered investing in much smaller startups (than it’s traditional strategy of doing all research in-house and completely acquiring a smaller company)
Even a small investment of say 5-10 million USD in open source , or even Phd level research projects could greatly increase the ROI on that.
That means
Analyzing a private company’s financials are much more fun than a public company, and I remember the words of my finance professor ( “dig , dig”) to compare 2011 results with 2010 results.
http://www.sas.com/news/preleases/2010financials.html
The percentage invested in R and D is exactly the same (24%) and the percentages of revenue earned from each geography is exactly the same . So even though revenue growth increased from 5.2 % to 9% in 2011, both the geographic spread of revenues and share R&D costs remained EXACTLY the same.
The Americas accounted for 46 percent of total revenue; Europe, Middle East and Africa (EMEA) 42 percent; and Asia Pacific 12 percent.
Overall, I think SAS remains a 35% market share (despite all that noise from IBM, SAS clones, open source) because they are good at providing solutions customized for industries (instead of just software products), the market for analytics is not saturated (it seems to be growing faster than 12% or is it) , and its ability to attract and retain the best analytical talent (which in a non -American tradition for a software company means no stock options, job security, and great benefits- SAS remains almost Japanese in HR practices).
In 2010, SAS grew staff by 2.4 percent, in 2011 SAS grew staff by 9 percent.
But I liked the directional statement made here-and I think that design interfaces, algorithmic and computational efficiencies should increase analytical time, time to think on business and reduce data management time further!
“What would you do with the extra time if your code ran in two minutes instead of five hours?” Goodnight challenged.
Jim Goodnight for US Senate: Op Ed
Image via Wikipedia
This is NOT an April fool joke or a publicity stunt. It is also not meant to provoke discussion for the sake of provocation.
For a time, as I have studied both US and India , in what makes Government work or fail, academia work or fail, or businesses to work or fail- a common thread is the quality of people involved. Someone who is a wasteful businessman, will be a wasteful politician. Someone who is a flamboyant businessman with flair more than substance will continue that in public life.
Accordingly I have created a Facebook cause-
Jim Goodnight for the US Senate
http://www.causes.com/causes/600220-jim-goodnight-for-the-us-senate
If Donald Trump can run for President, I can think of no one who has done more for the American South. Unlike the tech heavy, Stanford dominated boom in California, the Mid West and South have been declining centers of influence. Cities like Austin Texas or Raleigh, North California are the exception rather than norm there. A friend who went to Duke once told me, the worst thing is to be borne a rural white male who is poor in America. There are no groups lobbying for education or internet hi fi blazing speeds for you. Socially you are expected to walk and thrive alone.
The Southern Baptist Church has managed to infiltrate and influence young minds there- the average conservative American seemed better off and happier in his moderated social behaviour. But the Church exacts a 10 % tithe, and it is efficient in stretching every dollar and every cent of church donations. Government works with the best intentions, but spending someone else’s money (your tax money money by a bureaucrat) is always more inefficient than the actual owner spending it alone. Taxes are higher than the 10 % tithe and seem to accomplish much less social change. You would rather go to work or go to war?
Accordingly I find that on the West Coast there are very few tech savvy leaders with a track record of both fiscal pragmatism, educational reform and job creation. Certainly the industry lobbyist is smarter at evading taxes than the average Joe, and campaign financing is still dependent on deep pockets despite the innovations of internet retail fund raising.
Would you like your Senator to be as considerate of creating jobs as entrepreneurs are. Jim Goodnight here is a metaphor for all entrepreneurs who dont believe in reckless hire-fire,outsourcing and long term views on people.
Click here to spread this cause- perhaps it will make existing politicians more efficient just by the threat of new competition.
http://www.causes.com/causes/600220-jim-goodnight-for-the-us-senate?recruiter_id=8347178
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Norway Supreme Court orders SAS to pay damages in data espionage case
Check out the details from
Norway Supreme Court orders SAS to pay damages in data espionage case
SAS said the Supreme Court of Norway ordered it Thursday to pay NOK160 million ($27.4 million) to Norwegian Air Shuttle, likely bringing to a conclusion the corporate espionage case in which SAS Norge was found to have improperly accessed and used data in Norwegian’s reservation system. Earlier this year…
Unbelievable stuff!
Also check out Jim Goodnight‘s remarks
Midway Airlines
When Goodnight spots a problem, he fixes it, in the most direct way possible. So when he heard that Midway Airlines was in trouble, he didn’t hesitate. Especially when he learned that an investment group was interested in buying the airline and moving the hub to another location. He led the investment group that bailed it out for $22 million.
“I just felt it would be a blow to our area to lose its major airline,” Goodnight says. “I looked back to when American had its hub here and we could get anywhere pretty easily. I really wanted that to continue. So we stepped up to the plate.”
They brought in a new CEO, Robert Ferguson, who was responsible, says Goodnight, for bringing Continental Airlines out of bankruptcy. They then took the airline to Wall Street, where public investors kicked in $75 million, $42 million of it to Midway, through an initial public offering.
As of mid-November, Midway Airlines and its commuter partner will operate 218 daily departures between Raleigh-Durham and 25 destinations in 14 states and the District of Columbia. The fleet includes 15 new CRJ aircraft and eight Fokker F100s, and averages less than three years of age ranking it among the youngest in the industry. In addition, Midway recently announced firm orders for 17 Boeing 737-700 aircraft. The first delivery will take place in December 1999.
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Interview Ajay Ohri Decisionstats.com with DMR
From-
http://www.dataminingblog.com/data-mining-research-interview-ajay-ohri/
Here is the winner of the Data Mining Research People Award 2010: Ajay Ohri! Thanks to Ajay for giving some time to answer Data Mining Research questions. And all the best to his blog, Decision Stat!
Data Mining Research (DMR): Could you please introduce yourself to the readers of Data Mining Research?
Ajay Ohri (AO): I am a business consultant and writer based out of Delhi- India. I have been working in and around the field of business analytics since 2004, and have worked with some very good and big companies primarily in financial analytics and outsourced analytics. Since 2007, I have been writing my blog at http://decisionstats.com which now has almost 10,000 views monthly.
All in all, I wrote about data, and my hobby is also writing (poetry). Both my hobby and my profession stem from my education ( a masters in business, and a bachelors in mechanical engineering).
My research interests in data mining are interfaces (simpler interfaces to enable better data mining), education (making data mining less complex and accessible to more people and students), and time series and regression (specifically ARIMAX)
In business my research interests software marketing strategies (open source, Software as a service, advertising supported versus traditional licensing) and creation of technology and entrepreneurial hubs (like Palo Alto and Research Triangle, or Bangalore India).
DMR: I know you have worked with both SAS and R. Could you give your opinion about these two data mining tools?
AO: As per my understanding, SAS stands for SAS language, SAS Institute and SAS software platform. The terms are interchangeably used by people in industry and academia- but there have been some branding issues on this.
I have not worked much with SAS Enterprise Miner , probably because I could not afford it as business consultant, and organizations I worked with did not have a budget for Enterprise Miner.
I have worked alone and in teams with Base SAS, SAS Stat, SAS Access, and SAS ETS- and JMP. Also I worked with SAS BI but as a user to extract information.
You could say my use of SAS platform was mostly in predictive analytics and reporting, but I have a couple of projects under my belt for knowledge discovery and data mining, and pattern analysis. Again some of my SAS experience is a bit dated for almost 1 year ago.
I really like specific parts of SAS platform – as in the interface design of JMP (which is better than Enterprise Guide or Base SAS ) -and Proc Sort in Base SAS- I guess sequential processing of data makes SAS way faster- though with computing evolving from Desktops/Servers to even cheaper time shared cloud computers- I am not sure how long Base SAS and SAS Stat can hold this unique selling proposition.
I dislike the clutter in SAS Stat output, it confuses me with too much information, and I dislike shoddy graphics in the rendering output of graphical engine of SAS. Its shoddy coding work in SAS/Graph and if JMP can give better graphics why is legacy source code preventing SAS platform from doing a better job of it.
I sometimes think the best part of SAS is actually code written by Goodnight and Sall in 1970’s , the latest procs don’t impress me much.
SAS as a company is something I admire especially for its way of treating employees globally- but it is strange to see the rest of tech industry not following it. Also I don’t like over aggression and the SAS versus Rest of the Analytics /Data Mining World mentality that I sometimes pick up when I deal with industry thought leaders.
I think making SAS Enterprise Miner, JMP, and Base SAS in a completely new web interface priced at per hour rates is my wishlist but I guess I am a bit sentimental here- most data miners I know from early 2000’s did start with SAS as their first bread earning software. Also I think SAS needs to be better priced in Business Intelligence- it seems quite cheap in BI compared to Cognos/IBM but expensive in analytical licensing.
If you are a new stats or business student, chances are – you may know much more R than SAS today. The shift in education at least has been very rapid, and I guess R is also more of a platform than a analytics or data mining software.
I like a lot of things in R- from graphics, to better data mining packages, modular design of software, but above all I like the can do kick ass spirit of R community. Lots of young people collaborating with lots of young to old professors, and the energy is infectious. Everybody is a CEO in R ’s world. Latest data mining algols will probably start in R, published in journals.
Which is better for data mining SAS or R? It depends on your data and your deadline. The golden rule of management and business is -it depends.
Also I have worked with a lot of KXEN, SQL, SPSS.
DMR: Can you tell us more about Decision Stats? You have a traffic of 120′000 for 2010. How did you reach such a success?
AO: I don’t think 120,000 is a success. Its not a failure. It just happened- the more I wrote, the more people read.In 2007-2008 I used to obsess over traffic. I tried SEO, comments, back linking, and I did some black hat experimental stuff. Some of it worked- some didn’t.
In the end, I started asking questions and interviewing people. To my surprise, senior management is almost always more candid , frank and honest about their views while middle managers, public relations, marketing folks can be defensive.
Social Media helped a bit- Twitter, Linkedin, Facebook really helped my network of friends who I suppose acted as informal ambassadors to spread the word.
Again I was constrained by necessity than choices- my middle class finances ( I also had a baby son in 2007-my current laptop still has some broken keys 
– by my inability to afford traveling to conferences, and my location Delhi isn’t really a tech hub.
The more questions I asked around the internet, the more people responded, and I wrote it all down.
I guess I just was lucky to meet a lot of nice people on the internet who took time to mentor and educate me.
I tried building other websites but didn’t succeed so i guess I really don’t know. I am not a smart coder, not very clever at writing but I do try to be honest.
Basic economics says pricing is proportional to demand and inversely proportional to supply. Honest and candid opinions have infinite demand and an uncertain supply.
DMR: There is a rumor about a R book you plan to publish in 2011 Can you confirm the rumor and tell us more?
AO: I just signed a contract with Springer for ” R for Business Analytics”. R is a great software, and lots of books for statistically trained people, but I felt like writing a book for the MBAs and existing analytics users- on how to easily transition to R for Analytics.
Like any language there are tricks and tweaks in R, and with a focus on code editors, IDE, GUI, web interfaces, R’s famous learning curve can be bent a bit.
Making analytics beautiful, and simpler to use is always a passion for me. With 3000 packages, R can be used for a lot more things and a lot more simply than is commonly understood.
The target audience however is business analysts- or people working in corporate environments.
Brief Bio-
Ajay Ohri has been working in the field of analytics since 2004 , when it was a still nascent emerging Industries in India. He has worked with the top two Indian outsourcers listed on NYSE,and with Citigroup on cross sell analytics where he helped sell an extra 50000 credit cards by cross sell analytics .He was one of the very first independent data mining consultants in India working on analytics products and domestic Indian market analytics .He regularly writes on analytics topics on his web site www.decisionstats.com and is currently working on open source analytical tools like R besides analytical software like SPSS and SAS.
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Amazon goes HPC and GPU: Dirk E to revise his R HPC book
Image via Wikipedia
Amazon just did a cluster Christmas present for us tech geek lizards- before Google could out doogle them with end of the Betas (cough- its on NDA)
Clusters used by Academic Departments now have a great chance to reduce cost without downsizing- but only if the CIO gets the email.
While Professor Goodnight of SAS / North Carolina University is still playing time sharing versus mind sharing games with analytical birdies – his 70 mill server farm set in Feb last is about to get ready
( I heard they got public subsidies for environment- but thats historic for SAS- taking public things private -right Prof as SAS itself began as a publicly funded project. and that was in the 1960s and they didnt even have no lobbyists as well. )
In realted R news, Dirk E has been thinking of a R HPC book without paying attention to Amazon but would now have to include Amazon
(he has been thinking of writing that book for 5 years, but hey he’s got a day job, consulting gigs with revo, photo ops at Google, a blog, packages to maintain without binaries, Dirk E we await thy book with bated holes.
Whos Dirk E – well http://dirk.eddelbuettel.com/ is like the Terminator of R project (in terms of unpronounceable surnames)
Back to the cause du jeure-
From http://aws.amazon.com/ec2/hpc-applications/ but minus corporate buzz words.
Unique to Cluster Compute and Cluster GPU instances is the ability to group them into clusters of instances for use with HPC
applications. This is particularly valuable for those applications that rely on protocols like Message Passing Interface (MPI) for tightly coupled inter-node communication.
Cluster Compute and Cluster GPU instances function just like other Amazon EC2 instances but also offer the following features for optimal performance with HPC applications:
- When run as a cluster of instances, they provide low latency, full bisection 10 Gbps bandwidth between instances. Cluster sizes up through and above 128 instances are supported.
- Cluster Compute and Cluster GPU instances include the specific processor architecture in their definition to allow developers to tune their applications by compiling applications for that specific processor architecture in order to achieve optimal performance.
The Cluster Compute instance family currently contains a single instance type, the Cluster Compute Quadruple Extra Large with the following specifications:
23 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
1690 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cc1.4xlarge
The Cluster GPU instance family currently contains a single instance type, the Cluster GPU Quadruple Extra Large with the following specifications:
22 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
2 x NVIDIA Tesla “Fermi” M2050 GPUs
1690 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cg1.4xlarge
.
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Open Source Cartoon
Image via Wikipedia
Ok I promised a weekly cartoon on Friday but it’s Saturday.
Last week we spoofed Larry Ellison , Jim Goodnight and Bill Gates- people who created billions of taxes for the economy but would be regarded as evil by some open source guys- though they may have created more jobs for more families than the whole Federal Reserve Bank did in 2008-10. Jobs are necessary for families. Period.
You can review it here http://decisionstats.files.wordpress.com/2010/11/os1.png
In Part 2- we see Open Source is actually older than Stallman (yes people are older than Stallman) – in fact open source has been around for far more time than even
Jim Goodnight’s current age- which can be revealed by using proc goodnight options=all.
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