Tag: Business
Zementis partners with R Analytics Vendor- Revo
Just got a PR email from Michael Zeller,CEO , Zementis annoucing Zementis (ADAPA) and Revolution Analytics just partnered up.
Is this something substantial or just time-sharing http://bi.cbronline.com/news/sas-ceo-says-cep-open-source-and-cloud-bi-have-limited-appeal or a Barney Partnership (http://www.dbms2.com/2008/05/08/database-blades-are-not-what-they-used-to-be/)
Summary- Thats cloud computing scoring of models on EC2 (Zementis) partnering with the actual modeling software in R (Revolution Analytics RevoDeployR)
See previous interviews with both Dr Zeller at https://decisionstats.com/2009/02/03/interview-michael-zeller-ceozementis/ ,https://decisionstats.com/2009/05/07/interview-ron-ramos-zementis/ and https://decisionstats.com/2009/10/05/interview-michael-zellerceo-zementis-on-pmml/)
and Revolution guys at https://decisionstats.com/2010/08/03/q-a-with-david-smith-revolution-analytics/
and https://decisionstats.com/2009/05/29/interview-david-smith-revolution-computing/
–
strategic partnership with Revolution Analytics, the leading commercial provider of software and support for the popular open source R statistics language. With this partnership, predictive models developed on Revolution R Enterprise are now accessible for real-time scoring through the ADAPA Decisioning Engine by Zementis. ADAPA is an extremely fast and scalable predictive platform. Models deployed in ADAPA are automatically available for execution in real-time and batch-mode as Web Services. ADAPA allows Revolution R Enterprise to leverage the Predictive Model Markup Language (PMML) for better decision management. With PMML, models built in R can be used in a wide variety of real-world scenarios without requiring laborious or expensive proprietary processes to convert them into applications capable of running on an execution system.
“By partnering with Zementis, Revolution Analytics is building an end-to-end solution for moving enterprise-level predictive R models into the execution environment,” said Jeff Erhardt, Revolution Analytics Chief Operation Officer. “With Zementis, we are eliminating the need to take R applications apart and recode, retest and redeploy them in order to obtain desirable results.”
Got demo? Yes, we do! Revolution Analytics and Zementis have put together a demo which combines the building of models in R with automatic deployment and execution in ADAPA. It uses Revolution Analytics’ RevoDeployR, a new Web Services framework that allows for data analysts working in R to publish R scripts to a server-based installation of Revolution R Enterprise.
Action Items:
- Try our INTERACTIVE DEMO
- DOWNLOAD the white paper
- Try the ADAPA FREE TRIAL
RevoDeployR & ADAPA allow for real-time analysis and predictions from R to be effectively used by existing Excel spreadsheets, BI dashboards and Web-based applications, all in real-time.
Predictive analytics with RevoDeployR from Revolution Analytics and ADAPA from Zementis put model building and real-time scoring into a league of their own. Seriously!
Related Articles
- Revolution R Enterprise 4.2 now available (revolutionanalytics.com)
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Input Data in R using the top 3 R GUI
One area where clearly GUI methods are preferable to command line methods in R, is data input. There is no need of learning read.csv or read.table when these options are only two clicks away in any R GUI. For academics/students there is a definite need to easily access
datasets from attached packages just as it is a need for business analysts to access databases with a few clicks than learn or read pages of pdf on RODBC. However some GUI (like Rattle) need data only in data frames, rather than list or arrays-this limits R’s flexibility. These are my views but you can see and compare views of data input in R Commander, Rattle and Deducer.
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Pentaho and R: working together
I interview Pentaho Co-founder here at https://decisionstats.com/2010/11/14/pentaho/
and recently became aware of the R Pentaho integration.
“R” is a popular open source statistical and analytical language that academics and commercial organizations alike have used for years to get maximum insight out of information using advanced analytic techniques. In this twelve-minute video, David Reinke from Pentaho Certified Partner OpenBI provides an overview of R, as well as a demonstration of integration between R and Pentaho.
http://www.pentaho.com/products/demos/r_project_with_pentaho/
Related-
M.S. in Applied Statistics
R and BI – Integrating R with Open Source BusinessIntelligence Platforms Pentaho and Jaspersoft
http://www.r-project.org/conferences/useR-2010/abstracts/Reinke+Miller.pdf
Web development with R
http://www.r-project.org/conferences/useR-2010/slides/Ooms.pdf
In-database analytics with R
http://www.r-project.org/conferences/useR-2010/slides/Hess+Chambers_1.pdf
R role in Business Intelligence Software Architecture
http://www.r-project.org/conferences/useR-2010/slides/Colombo+Ronzoni+Fontana.pdf
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Interview David Katz ,Dataspora /David Katz Consulting
Here is an interview with David Katz ,founder of David Katz Consulting (http://www.davidkatzconsulting.com/) and an analyst at the noted firm http://dataspora.com/. He is a featured speaker at Predictive Analytics World http://www.predictiveanalyticsworld.com/sanfrancisco/2011/speakers.php#katz)
Ajay- Describe your background working with analytics . How can we make analytics and science more attractive career options for young students
David- I had an interest in math from an early age, spurred by reading lots of science fiction with mathematicians and scientists in leading roles. I was fortunate to be at Harry and David (Fruit of the Month Club) when they were in the forefront of applying multivariate statistics to the challenge of targeting catalogs and other snail-mail offerings. Later I had the opportunity to expand these techniques to the retail sphere with Williams-Sonoma, who grew their retail business with the support of their catalog mailings. Since they had several catalog titles and product lines, cross-selling presented additional analytic challenges, and with the growth of the internet there was still another channel to consider, with its own dynamics.
After helping to found Abacus Direct Marketing, I became an independent consultant, which provided a lot of variety in applying statistics and data mining in a variety of settings from health care to telecom to credit marketing and education.
Students should be exposed to the many roles that analytics plays in modern life, and to the excitement of finding meaningful and useful patterns in the vast profusion of data that is now available.
Ajay- Describe your most challenging project in 3 decades of experience in this field.
David- Hard to choose just one, but the educational field has been particularly interesting. Partnering with Olympic Behavior Labs, we’ve developed systems to help identify students who are most at-risk for dropping out of school to help target interventions that could prevent dropout and promote success.
Ajay- What do you think are the top 5 trends in analytics for 2011.
David- Big Data, Privacy concerns, quick response to consumer needs, integration of testing and analysis into business processes, social networking data.
Ajay- Do you think techniques like RFM and LTV are adequately utilized by organization. How can they be propagated further.
David- Organizations vary amazingly in how sophisticated or unsophisticated the are in analytics. A key factor in success as a consultant is to understand where each client is on this continuum and how well that serves their needs.
Ajay- What are the various software you have worked for in this field- and name your favorite per category.
David- I started out using COBOL (that dates me!) then concentrated on SAS for many years. More recently R is my favorite because of its coverage, currency and programming model, and it’s debugging capabilities.
Ajay- Independent consulting can be a strenuous job. What do you do to unwind?
David- Cycling, yoga, meditation, hiking and guitar.
Biography-
David Katz, Senior Analyst, Dataspora, and President, David Katz Consulting.
David Katz has been in the forefront of applying statistical models and database technology to marketing problems since 1980. He holds a Master’s Degree in Mathematics from the University of California, Berkeley. He is one of the founders of Abacus Direct Marketing and was previously the Director of Database Development for Williams-Sonoma.
He is the founder and President of David Katz Consulting, specializing in sophisticated statistical services for a variety of applications, with a special focus on the Direct Marketing Industry. David Katz has an extensive background that includes experience in all aspects of direct marketing from data mining, to strategy, to test design and implementation. In addition, he consults on a variety of data mining and statistical applications from public health to collections analysis. He has partnered with consulting firms such as Ernst and Young, Prediction Impact, and most recently on this project with Dataspora.
For more on David’s Session in Predictive Analytics World, San Fransisco on (http://www.predictiveanalyticsworld.com/sanfrancisco/2011/agenda.php#day2-16a)
Room: Salon 5 & 6
4:45pm – 5:05pm
Track 2: Social Data and Telecom 
Case Study: Major North American Telecom
Social Networking Data for Churn Analysis
A North American Telecom found that it had a window into social contacts – who has been calling whom on its network. This data proved to be predictive of churn. Using SQL, and GAM in R, we explored how to use this data to improve the identification of likely churners. We will present many dimensions of the lessons learned on this engagement.
Speaker: David Katz, Senior Analyst, Dataspora, and President, David Katz Consulting
Exhibit Hours
Monday, March 14th:10:00am to 7:30pm
Tuesday, March 15th:9:45am to 4:30pm
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Linux Counter- Use Linux so be counted
Here’s a nice website at
You can basically spend 2 minutes and register yourself publicly/anonymously/or your machine
and some fun at http://counter.li.org/estimates.php
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SAS Knowledge Exchange
Here is an interesting website by SAS.com – it showcases lots of business analytics content more from a conceptual rather than a tool based perspective- have a glance yourself.
http://www.sas.com/knowledge-exchange/business-analytics/
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