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I always liked Citrix products when I was a member of the Technical Advisory Board at the University of Tennessee. I especially liked enabling SAS software , R software, Matlab software , ONLY from a browser.
Data Mining through cloud computing, yes University of Tennessee’s analytics server http://analytics.utk.edu was way ahead in 2009- all these softwares at one portal no software needed on your own PC, simply upload data and work on any analytics software.
Here is a nice citrix webinar on managing Time (so you can read more webinars! nah. I think Youtube live streaming events with interactive question and answers is the way of the future while webinars are for Baby Boomers- you can do a test and control experiment yourself if you are in the webinar business. its a web2.oinar)
Standard Disclosure- I have not received any monetary or indirect compensation for promoting this webinar.
Interruptions are productivity killers – between email, phone calls and back-to-back meetings, how do you find time to work on your top priorities?
Join top time-management guru Kent Curtis and learn how to stop “living in your inbox” and start prioritising tasks, messages and appointments according to what is most important.
This webinar takes the best principles from FranklinCovey’s world-class productivity training and teaches you how to apply them while using Microsoft Outlook as your scheduling tool.
Attend this interactive, one-hour webinar to:
Stay focused every day with a reliable planning system utilising Microsoft Outlook.
Control competing demands such as email, voice mail, meetings and interruptions.
Apply a planning process that gets better business results.
Reduce stress by eliminating low priority activities and distractions.
Register for the Webinar
Please forward this to colleagues who might be interested in learning more.
H.R. Shiever | Managing Director – Asia Pacific
Online Meetings Made Easy
The New Time Management: Stay Focused Every Day with Reliable Planning
Thursday, 26 May
12 Noon Australian EST
10 AM Singapore SGT
7.30 AM India ST
Kent Curtis, Senior Consultant, FranklinCovey
- Keep the Spice In… Life After the Webinar (customerthink.com)
- Citrix Webinar – Rocommended Architecture (edugeek.net)
- Google Apps Sync for Microsoft Outlook (edugeek.net)
Heres a new contest for SAS users. The prizes are books, so students should be interested as well.
|New Points for Prizes Contest|
Win SAS books!
|Contribute content or SAS code to sasCommunity.org for your chance to WIN! To qualify, simply add or edit articles between April 11, 2011 and May 9, 2011 (GMT). Creation of a first-time profile on sasCommunity.org gives you 1,000 points. For each valid article creation or edit, 100 points will be earned. The user with the most points collected during this time wins SAS Press Books!
|Become a sasCommunity Guru|
|The sasCommunity support team has been hard at work adding new features and is pleased to announce a points system that recognizes each user’s contributions to the site. Every time you contribute by creating a page, updating it, or just doing a little wiki gardening, you earn points.Earning points is automatic and simple – all you have to do is contribute! Creating your account starts you with 1000 points and all the current users have been credited with points dating back to the site coming online in April 2007.
- Greenplum & SAS Pair on ‘Big Analytics’ (java.sys-con.com)
- Nordstrom and the SAS Institute (sarahlynnwheeler.wordpress.com)
- SAS programming (bravecricket.wordpress.com)
- The Popularity of Data Analysis Software (R vs SAS vs SPSS, etc.) (r-bloggers.com)
Meet Google’s new CEO
Co-Founder and President, Products
Larry Page was Google’s founding CEO and grew the company to more than 200 employees and profitability before moving into his role as president of products in April 2001. He continues to share responsibility for Google’s day-to-day operations with Eric Schmidt and Sergey Brin.
The son of Michigan State University computer science professor Dr. Carl Victor Page, Larry’s love of computers began at age six. While following in his father’s footsteps in academics, he became an honors graduate from the University of Michigan, where he earned a bachelor’s degree in engineering, with a concentration on computer engineering. During his time in Ann Arbor, Larry built an inkjet printer out of Lego™ bricks.
While in the Ph.D. program in computer science at Stanford University, Larry met Sergey Brin, and together they developed and ran Google, which began operating in 1998. Larry went on leave from Stanford after earning his master’s degree.
In 2002, Larry was named a World Economic Forum Global Leader for Tomorrow. He is a member of the National Advisory Committee (NAC) of the University of Michigan College of Engineering, and together with co-founder Sergey Brin, Larry was honored with the Marconi Prize in 2004. He is a trustee on the board of the X PRIZE, and was elected to the National Academy of Engineering in 2004.
and no coincidence but it reminded me of the Metallica video- Turn the Page. Forgive the Pun, herr Eric
- Meet Larry Page, Google’s New CEO (huffingtonpost.com)
- Larry Page: Google’s king of search (guardian.co.uk)
- Sergey Brin: We’ve Touched 1 Percent Of What Social Search Can Be (techcrunch.com)
- Everything You Need To Know About Larry Page, Google’s New CEO (GOOG) (businessinsider.com)
- Co-founder Larry Page to Become CEO of Google (slog.thestranger.com)
- How Larry Page’s Google Will Function (mashable.com)
- Google Shakeup: Larry Page Takes Over as CEO (sfist.com)
- TechCrunch Interview With Eric Schmidt, Larry Page And Sergey Brin (techcrunch.com)
- Google CEO Schmidt to step down, hand reins to Larry Page (techflash.com)
Predictive Analytics and Business Performance
In this session, Bruno Aziza will discuss the challenges organizations face with Analytics and Performance. This participative session will provide first-hand accounts from Fortune 500 companies who are winning by building accountability, intelligence, and informed decision-making into their organizational DNA.
Speaker: Bruno Aziza, Director, Worldwide Strategy Lead, Business Intelligence, Microsoft
Some info about Mr Aziza,
Bruno Aziza, Director, Worldwide Strategy Lead, Business Intelligence,Microsoft
Bruno Aziza is a recognized authority on Strategy Execution, Business Intelligence and Information Management. He is the co-author of best-selling book, “Drive Business Performance: Enabling a Culture of Intelligent Execution” and a Fellow at the Advanced Performance Institute, a world-leading and independent advisory group specialized in organizational performance. Drs. Kaplan & Norton, of Balanced Scorecard fame, praise Aziza for moving “the field of performance management forward in important new directions.”
Aziza’s work has been featured in publications across North America, Europe and Asia such as Business Finance magazine, Intelligent Enterprise, CRM magazine and others.
Aziza has held management positions at Apple Inc., Business Objects (SAP), AppStream(Symantec) and Decathlon SA. He currently works on Microsoft Business Intelligence go-to-market strategy and execution for partners, services, sales and marketing. Aziza lives in Seattle with his family and enjoys sports and travelling.
He regularly provides views on leadership and performance on the SuccessFactors thought leader Network , the CIO Network and Forbes Magazine. Aziza is the host ofBizIntelligence.TV – a leading weekly show on Business Intelligence and Analytics. An award-winning speaker, Aziza frequently keynotes international events and has shared the stage with executives and thought leaders such as Dr. Kaplan. Aziza’s biggest crowd to date is 5,000 people.
Follow or contact Bruno via:
•Twitter @ http://twitter.com/brunoaziza
•Facebook @ http://tinyurl.com/bruno-on-facebook
•Linkedin @ http://www.linkedin.com/in/brunoaziza
•YouTube @ http://tinyurl.com/bruno-on-tv
•Kindle blog @ http://tinyurl.com/culture-blog
•Forbes blog @ http://tinyurl.com/culture-blog
That makes it an interesting Pow Wow between the big players at the conference Oracle,SAP, IBM, SAS and now MS –all seem to be there.
Truly a Predictive Analytics World.
Here is an interview with Karl Rexer of Rexer Analytics. His annual survey is considered a benchmark in the data mining and analytics industry. Here Karl talks of his career, his annual survey and his views on the industry direction and trends.
Almost 20% of data miners report that their company/organizations have only minimal analytic capabilities – Karl Rexer
Ajay- Describe your career in science. What advice would you give to young science graduates in this recession? What advice would you give to high school students choosing from science – non science careers?
Karl- My interests in science began as a child. My father has multiple science degrees, and I grew up listening to his descriptions of the cool things he was building, or the cool investigative tools he was using, in his lab. He worked in an industrial setting, so visiting was difficult. But when I could, I loved going in to see the high-temperature furnaces he was designing, the carbon-fiber production processes he was developing, and the electron microscope that allowed him to look at his samples. Both of my parents encouraged me to ask why, and to think critically about both scientific and social issues. It was also the time of the Apollo moon landings, and I was totally absorbed in watching and thinking about them. Together these things motivated me and shaped my world-view.
I have also had the good fortune to work across many diverse areas and with some truly outstanding people. In graduate school I focused on applied statistics and the use of scientific methods in the social sciences. As a grad student and young academic, I applied those skills to researching how our brains process language. But on the side, I pursued a passion for using the scientific method and analytics to address ….well anything I could. We called it “statistical consulting” then, but it often extended to research design and many other parts of the scientific process. Some early projects included assisting people with AIDS outcome studies, psycholinguistic research, and studies of adolescent adjustment.
My first taste of applying these skills outside of an academic environment was with my mentor Len Katz. The US Navy hired us to help assess the new recruits that were entering the submarine school. Early identification of sailors who would excel in this unusual and stressful environment was critical. Perhaps even more important was identifying sailors who would not perform well in that environment. Luckily, the Navy had years of academic and psychological testing on many sailors, and this data proved quite useful in predicting later job performance onboard the submarines. Even though we never got the promised submarine ride, I was hooked on applying measurement, scientific methods, and analytics in non-academic settings.
And that’s basically what I have continued to do – apply those skills and methods in diverse scientific and business settings. I worked for two banks and two consulting firms before founding Rexer Analytics in 2002. Last year we supported 30 clients. I’ve got great staff and they have great quant skills. Importantly, we also don’t hesitate to challenge each other, and we’re continually learning from each other and from each client engagement. We share a love of project diversity, and we seek it out in our engagements. We’ve forecasted sales for medical devices, measured B2B customer loyalty, identified manufacturing problems by analyzing product returns, predicted which customers will close their bank accounts, analyzed millions of tax returns, helped identify the dimensions of business team cohesion that result in better performance, found millions of dollars of B2B and B2C fraud, and helped many companies understand their customers better with segmentations, surveys, and analyses of sales and customer behavior.
The advice I would give to young science grads in this recession is to expand your view of where you can apply your scientific training. This applies to high school students considering science careers too. All science does not happen in universities, labs and other traditional science locations. Think about applying scientific methods everywhere! Sometimes our projects at Rexer Analytics seem far away from what most people would consider “science.” But we’re always asking “what data is available that can be brought to bear on the business issue we’re addressing.” Sometimes the best solution is to go out and collect more data – so we frequently help our clients improve their measurement processes or design surveys to collect the necessary data. I think there are enormous opportunities for science grads to apply their scientific training in the business world. The opportunities are not limited to physics wiz-kids making models for Wall Street trading or computer science students moving to Silicon Valley. One of the best analytic teams I ever worked on was at Fleet Bank in the late 90s. We had an economist, two physicists, a sociologist, a psychologist, an operations research guy, and person with a degree in marketing science. We were all very focused on data, measurement, and analytic methods.
I recommend that all science grads read Tom Davenport’s book Competing on Analytics *. It illustrates, with compelling examples, how businesses can benefit from using science and analytics. Several examples in Tom’s book come from Gary Loveman, CEO of Harrah’s Entertainment. I think that Gary also serves as a great example of how scientific methods can be applied in every industry. Gary has a PhD in economics from MIT, he’s worked at the Federal Reserve Bank, he’s been a professor at Harvard, but more recently he runs the world’s largest casino and gaming company. And he’s famously said many times that there are three ways to get fired at Harrah’s: steal, harass women, or not use a control group. Business leaders across all industries are increasingly wanting data, analytics and scientific decision-making. Science grads have great training that enables them to take on these roles and to demonstrate the success of these methods.
Ajay- One more survey- How does the Rexer survey differentiate itself from other surveys out there?
Karl- The Annual Rexer Analytics Data Miner Survey is the only broad-reaching research that investigates the analytic behaviors, views and preferences of data mining professionals. Each year our sample grows — in 2009 we had over 700 people around the globe complete our survey. Our participants include large numbers of both academic and business people.
Another way our survey is differentiated from other surveys is that each year we ask our participants to provide suggestions on ways to improve the survey. Incorporating participants’ suggestions improves our survey. For example, in 2008 several people suggested adding questions about model deployment and off-shoring. We asked about both of these topics in the 2009 survey.
Ajay -Could you please share some sneak previews of the survey results? What impact is the recession likely to have on IT spending?
Karl- We’re just starting to analyze the 2009 survey data. But, yes, here’s a peek at some of the findings that relate to the impact of the recession:
* Many data miners report that funding for data mining projects can sometimes be a problem.
* However, when asked what will happen in 2009 if the economic downturn continues, many data miners still anticipate that their company/organization will conduct more data mining projects in 2009 than in previous years (41% anticipate more projects in 2009; 27% anticipate fewer projects).
* The vast majority of companies conduct their data mining internally, and very few are sending data mining off-shore.
I don’t have a crystal ball that tells me about the trends in overall corporate spending on IT, Business Intelligence, or Data Mining. It’s my personal experience that many budgets are tight this year, but that key projects are still getting funded. And it is my strong opinion that in the coming years many companies will increase their focus on analytics, and I think that increasingly analytics will be a source of competitive advantage for these companies.
There are other people and other surveys that provide better insight into the trends in IT spending. For example, Gartner’s recent survey of over 1,500 CIOs (http://www.gartner.com/it/page.jsp?id=855612 ) suggests that 2009 IT spending is likely to be flat. I’m personally happy to see that in the Gartner survey, Business Intelligence is again CIOs’ top technology priority, and that “increasing the use of information/analytics” is the #5 business priority.
Ajay- I noticed you advise SPSS among others. Describe what an advisory role is for an analytics company and how can small open source companies get renowned advisors?
Karl- We have advised Oracle, SPSS, Hewlett-Packard and several smaller companies. We find that advisory roles vary greatly. The biggest source of variation is what the company wants advice about. Example include:
* assessing opportunity areas for the application of analytics
* strategic data assessments
* analytic strategy
* product strategy
* reviewing software
Both large and small companies that look to apply analytics to their businesses can benefit from analytic advisors. So can open source companies that sell analytic software. Companies can find analytic advisors in several ways. One way is to look around for analytic experts whose advice you trust, and hire them. Networking in your own industry and in the analytic communities can identify potential advisors. Don’t forget to look in both academia and the business world. Many skilled people cross back and forth between these two worlds. Another way for these companies to obtain analytic advice is to look in their business networks and user communities for analytic specialists who share some of the goals of the company – they will be motivated for your company to succeed. Especially if focused topic areas or time-constrained tasks can be identified, outside experts may be willing to donate their time, and they may be flattered that you asked.
Ajay- What made you decide to begin the Rexer Surveys? Describe some results of last year’s surveys and any trends from the last three years that you have seen.
Karl- I’ve been involved on the organizing committees of several data mining workshops and conferences. At these conferences I talk with a lot of data miners and companies involved in data mining. I found that many people were interested in hearing about what other data miners were doing: what algorithms, what types of data, what challenges were being faced, what they liked and disliked about their data mining tools, etc. Since we conduct online surveys for several of our clients, and my network of data miners is pretty large, I realized that we could easily do a survey of data miners, and share the results with the data mining community. In the first year, 314 data miners participated, and it’s just grown from there. In 2009 over 700 people completed the survey. The interest we’ve seen in our research summaries has also been astounding – we’ve had thousands of requests. Overall, this just confirms what we originally thought: people are hungry for information about data mining.
Here is a preview of findings from the initial analyses of the 2009 survey data:
* Each year we’ve seen that the most commonly used algorithms are decision trees, regression, and cluster analysis.
* Consistently, some of the top challenges data miners report are dirty data and explaining data mining to others. Previously, data access issues were also reported as a big challenge, but in 2009 fewer data miners reported facing this challenge.
* The most prevalent concerns with how data mining is being utilized are: insufficient training of some data miners, and resistance to using data mining in contexts where it would be beneficial.
* Data mining is playing an important role in organizations. Half of data miners indicate their results are helping to drive strategic decisions and operational processes.
* But there’s room for data mining to grow – almost 20% of data miners report that their company/organizations have only minimal analytic capabilities.
Karl Rexer, PhD is President of Rexer Analytics, a small Boston-based consulting firm. Rexer Analytics provides analytic and CRM consulting to help clients use their data to make better strategic and tactical decisions. Recent projects include fraud detection, sales forecasting, customer segmentation, loyalty analyses, predictive modeling for cross-sell and attrition, and survey research. Rexer Analytics also conducts an annual survey of data miners and freely distributes research summaries to the data mining community. Karl has been on the organizing committees of several international data mining conferences, including 3 KDD conferences, and BIWA-2008. Karl is on the SPSS Customer Advisory Board and on the Board of Directors of the Oracle Business Intelligence, Warehousing, & Analytics (BIWA) Special Interest Group. Karl and other Rexer Analytics staff are frequent invited speakers at MBA data mining classes and conferences.
To know more do check out the website on www.rexeranalytics.com