Revolution Free Webinars

Knowing How People are Playing Your Game Gives You the Winning Hand

Gaming is one of the hottest and most innovative industries and the stakes have never been higher. It has experienced many disruptive factors in recent years that challenge anyone responsible for game development, generating revenue, the customer experience and running the business.

Join us as we'll present the state of the art of predictive analytics for gaming, focusing on basic ideas to advanced concepts such as machine learning that can be used profitably by almost every gaming studio.

Thursday, June 13, 2013
10:00AM - 11:00AM Pacific Time

Highlighted Webinar - 5 Minute Quick View

Achieving High-Performing, Simulation-Based Operational Risk Measurement with RevoScaleR
Presented June 28, 2012

The Northern Trust Company, discusses the use of R in the loss distribution approach (LDA), the most widely used empirical approach for the measurement of operational risk. In Northern Trust's experience, R offers unparalleled access to various distributions that are most relevant for modeling the frequency and severity of operational loss events. Additionally, Northern Trust utilizes R to perform large scale Monte Carlo simulations within the context of the LDA.

Archived Webinars

What's New in Revolution R Enterprise 6.2
Presented May 1, 2013

The latest update to Revolution R Enterprise 6.2 is now available to customers. In this 30-minute webinar, David Smith will provide a brief overview of Revolution R Enterprise. Then, Thomas Dinsmore will introduce existing users to the new features of Revolution R Enterprise 6.2.

Revolution R Enterprise - 100% R and More
Presented March 14, 2013

R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise.

This webinar will be of value to current R users in industry and government who want to learn more about the additional capabilities of Revolution R Enterprise to enhance the productivity, ease of use, and enterprise readiness of open source R.

Introduction to R for Data Mining
Presented February 14, 2013

In this webinar, we focus on data mining as the application area and show how anyone with just a basic knowledge of elementary data mining techniques can become immediately productive in R. We will:

Provide an orientation to R’s data mining resources
Show how to use the "point and click" open source data mining GUI, rattle, to perform the basic data mining functions of exploring and visualizing data, building classification models on training data sets, and using these models to classify new data.
Show the simple R commands to accomplish these same tasks without the GUI
Demonstrate how to build on these fundamental skills to gain further competence in R
Move away from using small test data sets and show with the same level of skill one could analyze some fairly large data sets with RevoScaleR

Using R with Hadoop
Presented January 24, 2013

R and Hadoop are changing the way organizations manage and utilize big data. Think Big Analytics and Revolution Analytics are helping clients plan, build, test and implement innovative solutions based on the two technologies that allow clients to analyze data in new ways; exposing new insights for the business. Join us as Jeffrey Breen explains the core technology concepts and illustrates how to utilize R and Revolution Analytics’ RevoR in Hadoop environments.

Real-time Big Data Analytics: From Deployment to Production
Presented November 29, 2012

As the Big Data market has evolved, the focus has shifted from data operations (storage, access and processing of data) to data science (understanding, analyzing and forecasting from data). And as new models are developed, organizations need a process for deploying analytics from research into the production environment. In this talk, we'll describe the five stages of real-time analytics deployment:

New Advances in High Performance Analytics with R: ‘Big Data’ Decision Trees and Analysis of Hadoop Data
Presented November 15, 2012

Revolution R Enterprise 6.1 includes two important advances in high performance predictive analytics with R: (1) big data decision trees, and (2) the ability to easily extract and perform predictive analytics on data stored in the Hadoop Distributed File System (HDFS).

Classification and regression trees are among the most frequently used algorithms for data analysis and data mining. The implementation provided in Revolution Analytics’ RevoScaleR package is parallelized, scalable, distributable, and designed with big data in mind.

Order Fulfillment Forecasting at John Deere: How R Facilitates Creativity and Flexibility
Presented November 8, 2012

Statistical analysis has been known to be invaluable to any manufactory’s quality assurance for decades. Recently the value of valid statistical analysis has also been demonstrated to radically improve the ability of a company’s ability to weather extreme peaks and valley in customer demand. John Deere has been able to adjust to commodity spikes and housing downturns much better than its competitors have. This is in part due to the implementation of statistical analysis and the use of R software in the order fulfillment function of John Deere.

The Rise of Data Science in the Age of Big Data Analytics: Why Data Distillation and Machine Learning Aren’t Enough
Presented November 1, 2012

The reason why Big Data is important is because we want to use it to make sense of our world. It’s tempting to think there’s some “magic bullet” for analyzing big data, but simple “data distillation” often isn’t enough, and unsupervised machine-learning systems can be dangerous. (Like, bringing-down-the-entire-financial-system dangerous.) Data Science is the key to unlocking insight from Big Data: by combining computer science skills with statistical analysis and a deep understanding of the data and problem we can not only make better predictions, but also fill in gaps in our knowledge, and even find answers to questions we hadn’t even thought of yet.

Achieving High-Performing, Simulation-Based Operational Risk Measurement with RevoScaleR
Presented June 28, 2012

Under the Basel II Accord, financial institutions are required for the first time to determine capital requirements for a new class of risk – operational risk. Large and internally active banks are required to estimate operational risk exposure using the Advanced Measurement Approach (AMA), which relies on advanced empirical models. As banks continue to develop and enhance their own AMA models for operational risk measurement, they are increasingly utilizing R to perform various modeling tasks.

100% R and More: Plus What's New in Revolution R Enterprise 6.0
Presented June 20, 2012

R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this webinar, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.

Finding Meaning in Points, Areas and Surfaces: Spatial Analysis in R
Presented June 13, 2012

Everything happens somewhere and spatial analysis attempts to use location as an explanatory variable. Such analysis is made complex by the very many ways we habitually record spatial location, the complexity of spatial data structures, and the wide variety of possible domain-driven questions we might ask. One option is to develop and use software for specific types of spatial data, another is to use a purpose-built geographical information system (GIS), but determined work by R enthusiasts has resulted in a multiplicity of packages in the R environment that can also be used. In this webinar, David will present three real-world examples of how spatial statistics are used, each illustrating the analysis of a particular class of spatial data (points, areas and surfaces) with a particular R package (spatstat, maptools, sp, spdep, gstat).

Introduction to R for Data Mining
Presented June 5, 2012

We at Revolution Analytics are often asked “What is the best way to learn R?” While acknowledging that there may be as many effective learning styles as there are people we have identified three factors that greatly facilitate learning R. In this webinar, we focus on data mining as the application area and show how anyone with just a basic knowledge of elementary data mining techniques can become immediately productive in R.

Getting Up to Speed with R: Certificate Program in R for Statistical Analysis, Visualization and Modelling
Presented May 30, 2012

The Institute for Statistics Education at Statistics.com offers a graduate-level certificate program in R for those who want to use the R statistical programming environment for statistical analysis, visualization and modelling. Join this webinar to learn about the structure of the certificate and available courses through the Institute, which are offered in various categories.

Calling All Data Scientists and Web Developers! Integrate Your Advanced Analytics into BI Apps and MS Office and Multiply Their Value
Presented May 8, 2012

Advanced analytics is increasingly moving out of “research” and into “operations.” Teams of statistical experts – data scientists – are at the center of decision-making ecosystems where the purpose is to save money, reduce risk or increase revenue or customer loyalty. Join this webinar and learn how integrating advanced analytics into BI applications or MS Office (Excel, PowerPoint), trading models, risk models, recommendation engines, clinical efficacy analyses and visualizations empower an organization’s people and can drive systems that automate operations.

R + Hadoop = Big Data Analytics
Presented: May 2, 2012

RHadoop is an open source project spearheaded by Revolution Analytics to grant data scientists access to Hadoop’s scalability from their favorite language, R. It allows users to write general MapReduce programs, offering the full power and ecosystem of an existing, established programming language. In this webinar, Antonio will provide a brief introduction to Hadoop and R. He will describe how rmr allows R developers to program in the MapReduce framework, and provides for all developers an alternative way to implement MapReduce programs that strikes a delicate compromise between power and usability.

How Big Data is Changing Retail Marketing Analytics
Presented: April 25, 2012

Smart retailers are using advanced revenue attribution and customer-level response modelling to optimize their marketing spends. This new technique pioneered by Upstream Software employs survival analysis on retail data, with a strong emphasis on time to event modelling. By attending this session you will gain insight into the changing world of retail analytics.

Actuarial Analytics in R
Presented: March 28, 2012

With data analysis showing up in domains as varied as baseball, evidence-based medicine, predicting recidivism and child support lapses, judging wine quality, credit scoring, supermarket scanner data analysis, and “genius” recommendation engines, “business analytics” is part of the zeitgeist. This is a good moment for actuaries to remember that their discipline is arguably the first – and a quarter of a millennium old – example of business analytics at work.

Models Collecting Dust? How to Transform Your Results from Interesting to Impactful
Wednesday, March 14, 2012

Data scientists sometimes lament, "Why can't I get anyone to use my predictions?" Great models that make accurate predictions are sometimes disconnected from organizational decision-making. This hurts the business and reduces the data scientists’ perceived value the within the organization. But it doesn't have to be this way. Leading expert James Taylor, author of Decision Management Systems: A Practical Guide to Business Rules and Predictive Analytics, has developed a practical approach you can use to improve adoption and elevate your organization. In this webinar, James will show you proven framework for putting predictive analytics to work.

Using R for Analyzing Loans, Portfolios and Risk: From Academic Theory to Financial Practice
Tuesday, March 6, 2012

Dr. Sanjiv Das has held positions as at Citibank, Harvard University Professor and Program Director at the FDIC’s Center for Financial Research. His research relies heavily on R for analysis and decision-making. In this webinar, Dr. Das will present a mix of some of his more current and topical research that uses R-based models, and some pedagogical applications of R.

Turbo-Charge Your Analytics with IBM Netezza and Revolution R Enterprise: A Step-by-Step Approach for Acceleration and Innovation
Wednesday, February 29, 2012

Everyone involved in high-stakes analytics wants power, speed and flexibility regardless of the size of the data set and complexity of the analysis. Trailblazing organizations that have deployed IBM Netezza Analytics with their IBM Netezza data warehouse appliances (TwinFin) with Revolution R Enterprise are getting all three. Register for this webinar to find out how.

Revolution R Enterprise - 100% R and More
Presented February 22, 2012

Revolution Webinar: A Backstage Tour of ggplot2 with Hadley Wickham
Presented February 8th

GGplot2 is one of R’s most popular, widely used packages. It was developed by Rice University’s Hadley Wickham, who is also on the core development group for the R Open Source Project. Ggplot2’s exploratory graphics capabilities are driving the use of R as a complement to legacy analytics tools such as SAS. SAS is well-regarded for its strength in data management and "production" statistics, where you know what you want to do and need to do it repeatedly. On the other hand, R is strong in data analysis and exploration in situations where figuring out what is needed is the biggest challenge. In this important way, SAS and R are strong companions.

This webinar will provide an all-access pass to Hadley’s latest work.

Big Data Analysis Starts with R
Presented December 20th

30-minute executive Webinar to find out how companies of all types and sizes can integrate “R” into their “big data” analytics infrastructure strategy.

We’ll cover:

An overview of the Open Source “R,” language, and why it’s become the de-facto standard for statistical computing;
How ‘Big Data’ requires R’s ‘Big Analytics’ capabilities, including leveraging the new breed of popular data sources—such as Hadoop, NoSQL, and in-database data warehouses;
Use cases and implementation scenarios that share best practices for integrating R into your corporate analytics projects.

Revolution R Enterprise - 100% R and More
Presented December 14th, 2011

Scalable Data Analysis in R
Presented October 26th, 2011

For the past several decades the rising tide of technology -- especially the increasing speed of single processors -- has allowed the same data analysis code to run faster and on bigger data sets. That happy era is ending. The size of data sets is increasing much more rapidly than the speed of single cores, of I/O, and of RAM. To deal with this, we need software that can use multiple cores, multiple hard drives, and multiple computers. That is, we need scalable data analysis software.

Revolution R Enterprise - 100% R and More
Presented October 19th, 2011

Successful Uses of R (along with SAS and Excel) in Banking: A Look at Mortgages, Loan Portfolios and Probabilities of Default
Presented October 13th, 2011

Hong Ooi’s analysis supports bottom line-impacting decisions made a wide spectrum of groups at Australia and New Zealand Banking Group (ANZ). He has broad experience with both SAS and R, and depends on R for the bulk of his analysis. In this webinar, he will discuss his challenges and how he’s using R along with SAS and Excel to overcome them.

An Introduction to R for SAS and SPSS Users
Presented Oct 5th, 2011

R is free software for data analysis and graphics that is similar to SAS and SPSS. Two million people are part of the R Open Source Community. Its use is growing very rapidly and Revolution Analytics distributes a commercial version of R that adds capabilities that are not available in the Open Source version. This 60-minute webinar is for people who are familiar with SAS or SPSS who want to know how R can strengthen their analytics strategy.

Netezza vs. the Cloud: Using R to Profile Distributed Computing Platforms with Applications in Backtesting FINRA's Limit Up/Down Rules
Presented September 29th, 2011

This webcast is for statisticians, analysts and IT teams responsible for Big Data Analytics who are looking for ways to achieve greater innovation and leapfrog current performance. On May 6, 2010, at 2:45 PM, the Dow Jones Industrial Average plummeted approximately 900 points and rebounded within a matter of minutes. This temporary disappearance of one trillion dollars in market value prompted hearings by the U.S. Congressional House Subcommittee on Capital Markets, Insurance, and Government Sponsored Enterprises to investigate this event, which later became known as Flash Crash. As a result of these hearings, the Financial Industry Regulatory Authority (FINRA) instituted rules to regulate trading in the event of a precipitous drop in stock price.

Leveraging R in Hadoop Environments
Presented September 21st, 2011

Traditional IT infrastructure is simply unable to meet the demands of the new “Big Data Analytics” landscape. Many enterprises are turning to the “R” statistical programming language and Hadoop (both open source projects) as a potential solution. This webinar will introduce the statistical capabilities of R within the Hadoop ecosystem

Revolution R Enterprise - 100% R and More
Presented August 24th, 2011

The 'Big Analytics' Revolution Starts with R
Presented June 14, 2011

You’ve heard about “R,” now learn about “R.” Join us for a 30-minute executive Webinar to find out how companies of all types and sizes can integrate the “R,” into their modern, enterprise analytics infrastructure strategy.

Deploying predictive analytics with PMML, Revolution R, and ADAPA
Presented April 13th, 2011

The rule in the past was that whenever a predictive model was built in a particular development environment, it remained in that environment forever, unless it was manually recoded to work somewhere else. This rule has been shattered with the advent of PMML (Predictive Modeling Markup Language). By providing a uniform standard to represent predictive models, PMML allows for the exchange of predictive solutions between different applications and various vendors.

Integrating R into 3rd Party and Web Applications Using RevoDeployR
Presented March 16th

Join us, as Revolution Analytics CTO David Champagne will show how application developers can combine interactive Web applications, desktop applications such as Microsoft Excel, and BI dashboards with on-demand analytics and advanced visualizations published by R programmers.

Portfolio Design, Optimization, and Stability Analysis
Presented January 26th, 2011

Revolution Analytics is proud to present a new webinar from some of the leading researchers in portfolio design: Diethelm Würtz and Mahendra Mehta for the Rmetrics Association. This webinar will give an overview on current and recent developments and tools for portfolio design, optimization and stability analysis with the R/Rmetrics software environment.

Revolution R Enterprise - 100% R and More Webinar
Presented December 8, 2010

This webinar will be of value to current R users in industry and government who want to learn more about the additional capabilities of Revolution R Enterprise to enhance the productivity, ease of use, and enterprise readiness of open source R. R users in academia will also find this webinar valuable: we will explain how all members of the academic community can obtain Revolution R Enterprise free of charge.

Deploying R: Advanced analytics on demand in applications, in dashboards, and on the Web
A joint webinar from Revolution Analytics and Jaspersoft
Presented September 22, 2010

R is a popular and powerful system for creating custom data analysis, statistical models, and data visualizations. But how can you make the results of these R-based computations easily accessible to others? In this webinar, David Smith (VP of Marketing, Revolution Analytics) will introduce the new "RevoDeployR" Web Services framework for Revolution R Enterprise, which is designed to make it easy to integrate dynamic R-based computations into applications for business users.

Big Data Analysis for R using Revolution R Enterprise Webinar
Presented August 25, 2010

The R language is well-established as the modern language for predictive analytics. However, given the deluge of data that must be processed and analyzed today, some organizations have been reluctant to deploy R beyond research into production applications.

Revolution R Enterprise now extends the reach of R into the realm of 'Big Data' data analysis. This webinar will introduce R users to Revolution's new RevoScaleR package, which provides unprecedented levels of performance and capacity for statistical analysis of very large data sets in the R environment.

Supercharge BI and Dashboards with Predictive Analytics Webinar
Powered by Jaspersoft, Revolution Analytics, and OpenBI
Presented June 2, 2010

Business intelligence is about providing reporting and analysis solutions that show business users what happened and why. On the other hand, advanced analytics solutions deliver deeper insight into what might happen in the future, based upon high volumes of historical data and sophisticated modeling techniques. Traditionally, advanced analytics has been reserved for a highly technical audience in fields such as life sciences and academia. However, with the explosion in data in nearly every sector, advanced analytics is now becoming useful to more mainstream business users. This webinar introduces commercial open source business intelligence solutions from Jaspersoft, advanced analytics solutions with the popular open source project R and Revolution Analytics, and how those separate products mesh together in a demonstration by OpenBI, the expert commercial open source system integrator.

Introduction to Revolution R Webinar
Learn how to cut data analysis software costs by 90% with Revolution R
Presented May 20, 2010

If you analyze data for a living, you've probably heard the buzz about the open-source statistical language R in major articles in the New York Times, Forbes and InformationWeek. Business data analysts are now discovering what academia and research statisticians already knew: R's flexibility and power make it simple to do more with your data in a fraction of the time and cost. In this webinar, you'll learn about the enhanced R offerings from Revolution Analytics, including the free Revolution R Community and production-grade Revolution R Enterprise, now free to members of the academic community.

High-performance Analytics with REvolution R and Windows HPC Server Webinar
Presented, Apr 14, 2010

Statistical data analysis is a key part of the operations of just about every business today. But as data sets get larger, analyzing trends or generating predictions becomes more and more of a challenge.
If you're doing predictive modeling today and find that you can no longer use all of your data because of size limitations, or the computations are taking too long for you to take action on the results, then the parallel-processing capabilities of Windows HPC Server can help. In this webinar, we'll introduce the R language for statistical computing, and show how the easy-to-use parallel programming capabilities of REvolution R Enterprise work with a HPC cluster to cut processing times by an order of magnitude or more.

Audience: Programmers, researchers and analysts who need to process large volumes of data for data mining, statistical analysis, or predictive analytics. View the webcast and download the presentation.

7 Ways to Increase Your R Productivity - New REvolution R Enterprise 3.0 R Productivity Environment for Windows.
Presented Feb 23, 2010

The R language is quickly evolving from an open-source academic research tool into a commercial application for industrial use. And as R programs become more and more complex, there is an increasing need for developer features that increase productivity and improve performance.
Discover how easy it is to increase your productivity with the new R Integrated Development Environment for Windows. View the webcast and download the presentation.

The R Project: Data Analysis for Statistical Graphics for the Enterprise Webinar
Learn how to cut data analysis software costs by 90% with the open source phenomenon "R"
Presented Jan 28, 2010

If you analyze data for a living, you've probably heard the buzz about open-source R in major articles in the New York Times and a new "animal" book from O'Reilly. Business data analysts are now discovering what academia and research statisticians already knew: R's flexibility and power make it simple to do more with your data in a fraction of the time and cost.
If you're currently using SAS, SPSS, or Excel to analyze your data, this webinar is for you. View the webcast and download the presentation.