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Revolution Confidential




Applications of R in
 Business Contest




2012 Winners
Revolution Confidential


A Direct Marketing In-flight
   Forecasting System
Shannon Terry and Ben Ogorek
 Nationwide Insurance (USA)

                    “Such an opportunity to demonstrate the
                    business relevance of R was too important
                    to pass up. With these contest submissions,
                    we are excited to share our favorite
                    applications of R from 2011. The open-
                    source R community has genuinely inspired
                    Nationwide. Thanks to this incredible
                    community, we are generating new ideas
                    and enhancing our analytic capabilities.”



           http://www.inside-r.org/howto/direct-marketing-flight-forecasting-system
Revolution Confidential




R Application: a direct marketing efficacy forecasting
system that shows the incremental benefit of a
marketing tactic when only a fraction of the marketing
responses have been observed. This allows marketers
to test alternatives, evaluate their relative impact while
campaigns are “in-flight” and adjust expenditures for
maximum return.
Revolution Confidential


Mining Twitter for Airline
 Consumer Sentiment
 Jeffrey Breen, Atmosphere
  Research Group (USA)

              "I am excited about R because it makes it easy
              to get real work done. R is like the Linux of
              analytics, and as a result it's used by
              professionals in a wide range of fields. With
              their contest, Revolution found a fun way to
              highlight R's effectiveness across industries
              from airlines to health care and finance to
              foundries."




          http://www.inside-r.org/howto/mining-twitter-airline-consumer-sentiment
Revolution Confidential




R Application: Mining Twitter to measure real-
time consumer satisfaction of airlines.
Towards an ideal steel plant - Online                              Revolution Confidential



 liquid steel temperature prediction
                using R

    HakanKoç and Bengt Maas,
      Salzgitter Mannesmann
    Forschung GmbH (Germany)
                   "The project of modeling the liquid steel
                   temperature along the process chain and its
                   realization in the production control systems is
                   very important to the Salzgitter AG Steel Plant
                   Division and consequently we are very happy to
                   share our results and even get a positive
                   external resonance from the R Community and
                   independent renowned judges"



               http://www.inside-r.org/howto/mining-twitter-airline-consumer-sentiment
Melt Databasis of Production Processes:
                                                                                                                    Analysis/Calculations
                                                                                       DB-Query                            Revolution Confidential
                                                                                       MeltProcess Data
                       Steel Converter        Ladle Metallurgy   Continuous Casting    Regression    Storing         Regression-Coeffs.
                                                                                                                      Ident   X1     X2      X3
                                                                                                      Data
                         • Amounts of:                             • Casting format
                                                                                                                      1       100    0.1     Ja
  • Melttemperatures                                                                                  Regr            4       400    0.3…    Ja

  • Chemical composition    - purging gas                           (slab dimension)                  Coefs           3       300    0.2     Nein

  • Time durations          - cooling scrap                        • Stirring energy                                  2       200    0.5     Nein

                                                                                                                      5       500    0.4     …
                            - slag
                                                                                                                      6       600    0.25    …

                                                                                                                      7       700    0.25    True

                                                                                                                      9       900    0.1     True
                                                 Continuous Integration of R in Steel Plant Production
  Function                                                                                                            8

                                                                                                                      11
                                                                                                                              800

                                                                                                                              1100
                                                                                                                                     0.25

                                                                                                                                     0.5
                                                                                                                                             False

                                                                                                                                            Results
                                                                                                                                             False

                                                                                                                      12      1200   0.3     …

 Prozess Analysis / Data Mining                                                                                System PresetTemps.
                                                                                                                      13

                                                                                                                      14
                                                                                                                              1300

                                                                                                                              1400
                                                                                                                                     0.5

                                                                                                                                     0.1
                                                                                                                                             …

                                                                                                                                             …


     Robust Linear Regression with „S“ Scaleand                                                                       15

                                                                                                                      16
                                                                                                                              1500

                                                                                                                              1600
                                                                                                                                     0.1

                                                                                                                                     0.4
                                                                                                                                             …

                                                                                                                                             …

     „MM“ Estimator

                              Examplaryresult
  PredictedTemperature [ C]




                              of robust regressionfor
                              ameassurementpoint
                              in steel plant                Foreachmeas.Point




                                                          Dynamic Recalculation        KNV: Converter
                                                          Temp(x1,..xn)=ax1+…nxn       VPL: Ladle Treatment
                                                                                       SGA: ContinuousCasting



                              Measured, Temperature [ C]

R Application: an online temperature prediction model for steel that calculates optimal default
melting, processing, and casting temperatures so that processing conditions remain stable
and higher material quality is ensured.
Revolution Confidential


Time Series Analysis and Order
      Prediction with R
 ImreKocsis, KristófGáti, AndrásPataricza, and
    GáborHorváth, Budapest University of
    Technology and Economics (Hungary)


                       "In the industries we work with, R is increasingly
                       becoming the tool of choice for agile data
                       analysis. It was encouraging and educational to
                       see how wide a range of real-life applications R
                       has in other fields."




                  http://www.inside-r.org/howto/time-series-analysis-and-order-prediction-r
Revolution Confidential




R Application: a predictive model that supports visual data exploration and can be used to
predict to arbitrarily long horizons in the future.
Revolution Confidential


Predict the duration of your
        clinical trial
        Stephen D. Simon
  P.MeanConsulting / University of
    Missouri-Kansas City (USA)

               "I'm not that great at programming, so I was
               nervous at competing with people who are
               much better than I am. R produces such nice
               results that even someone with my limited
               talents can produce some very polished and
               professional looking graphs and output."




                    http://www.inside-r.org/howto/predict-duration-your-clinical-trial
Revolution Confidential




R Application: a prediction model for patient accrual in clinical trials, which is a critical success
factor in completing trials on time and on budget.
Revolution Confidential


Quantifying Uncertainty in IT
         Estimates
 Shannon Terry and Ben Ogorek
  Nationwide Insurance (USA)




              http://www.inside-r.org/howto/quantifying-uncertainty-it-estimates
Revolution Confidential




R Application: render accurate estimates of IT work effort, critical for deciding where in
technology a business should invest.
Revolution Confidential


 knitr: Elegant, flexible and fast
dynamic report generation with R
      YihuiXie, PhD Candidate at
   Department of Statistics, Iowa State
           University (USA)

                             "As an old Chinese saying goes, nobody can
                             smell your wine if it is stored in a deep alley, no
                             matter how good it smells. This contest has
                             brought some good wine from people's
                             backyard to the business world, which makes R
                             smell even better. I appreciate the opportunity
                             provided by Revolution Analytics to make my
                             own wine."



          http://www.inside-r.org/howto/knitr-elegant-flexible-and-fast-dynamic-report-generation-r
Revolution Confidential




R Application: save time and human effort when creating reports based on R output by
eliminating the need to re-enter figures.
Revolution Confidential




The leading commercial provider of software and support for the
          popular open source R statistics language.



                 www.revolutionanalytics.com
                     +1 (650) 646 9545
                   Twitter: @RevolutionR

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Applications of R in Business contest: 2012

  • 1. Revolution Confidential Applications of R in Business Contest 2012 Winners
  • 2. Revolution Confidential A Direct Marketing In-flight Forecasting System Shannon Terry and Ben Ogorek Nationwide Insurance (USA) “Such an opportunity to demonstrate the business relevance of R was too important to pass up. With these contest submissions, we are excited to share our favorite applications of R from 2011. The open- source R community has genuinely inspired Nationwide. Thanks to this incredible community, we are generating new ideas and enhancing our analytic capabilities.” http://www.inside-r.org/howto/direct-marketing-flight-forecasting-system
  • 3. Revolution Confidential R Application: a direct marketing efficacy forecasting system that shows the incremental benefit of a marketing tactic when only a fraction of the marketing responses have been observed. This allows marketers to test alternatives, evaluate their relative impact while campaigns are “in-flight” and adjust expenditures for maximum return.
  • 4. Revolution Confidential Mining Twitter for Airline Consumer Sentiment Jeffrey Breen, Atmosphere Research Group (USA) "I am excited about R because it makes it easy to get real work done. R is like the Linux of analytics, and as a result it's used by professionals in a wide range of fields. With their contest, Revolution found a fun way to highlight R's effectiveness across industries from airlines to health care and finance to foundries." http://www.inside-r.org/howto/mining-twitter-airline-consumer-sentiment
  • 5. Revolution Confidential R Application: Mining Twitter to measure real- time consumer satisfaction of airlines.
  • 6. Towards an ideal steel plant - Online Revolution Confidential liquid steel temperature prediction using R HakanKoç and Bengt Maas, Salzgitter Mannesmann Forschung GmbH (Germany) "The project of modeling the liquid steel temperature along the process chain and its realization in the production control systems is very important to the Salzgitter AG Steel Plant Division and consequently we are very happy to share our results and even get a positive external resonance from the R Community and independent renowned judges" http://www.inside-r.org/howto/mining-twitter-airline-consumer-sentiment
  • 7. Melt Databasis of Production Processes: Analysis/Calculations DB-Query Revolution Confidential MeltProcess Data Steel Converter Ladle Metallurgy Continuous Casting Regression Storing Regression-Coeffs. Ident X1 X2 X3 Data • Amounts of: • Casting format 1 100 0.1 Ja • Melttemperatures Regr 4 400 0.3… Ja • Chemical composition - purging gas (slab dimension) Coefs 3 300 0.2 Nein • Time durations - cooling scrap • Stirring energy 2 200 0.5 Nein 5 500 0.4 … - slag 6 600 0.25 … 7 700 0.25 True 9 900 0.1 True Continuous Integration of R in Steel Plant Production Function 8 11 800 1100 0.25 0.5 False Results False 12 1200 0.3 … Prozess Analysis / Data Mining System PresetTemps. 13 14 1300 1400 0.5 0.1 … … Robust Linear Regression with „S“ Scaleand 15 16 1500 1600 0.1 0.4 … … „MM“ Estimator Examplaryresult PredictedTemperature [ C] of robust regressionfor ameassurementpoint in steel plant Foreachmeas.Point Dynamic Recalculation KNV: Converter Temp(x1,..xn)=ax1+…nxn VPL: Ladle Treatment SGA: ContinuousCasting Measured, Temperature [ C] R Application: an online temperature prediction model for steel that calculates optimal default melting, processing, and casting temperatures so that processing conditions remain stable and higher material quality is ensured.
  • 8. Revolution Confidential Time Series Analysis and Order Prediction with R ImreKocsis, KristófGáti, AndrásPataricza, and GáborHorváth, Budapest University of Technology and Economics (Hungary) "In the industries we work with, R is increasingly becoming the tool of choice for agile data analysis. It was encouraging and educational to see how wide a range of real-life applications R has in other fields." http://www.inside-r.org/howto/time-series-analysis-and-order-prediction-r
  • 9. Revolution Confidential R Application: a predictive model that supports visual data exploration and can be used to predict to arbitrarily long horizons in the future.
  • 10. Revolution Confidential Predict the duration of your clinical trial Stephen D. Simon P.MeanConsulting / University of Missouri-Kansas City (USA) "I'm not that great at programming, so I was nervous at competing with people who are much better than I am. R produces such nice results that even someone with my limited talents can produce some very polished and professional looking graphs and output." http://www.inside-r.org/howto/predict-duration-your-clinical-trial
  • 11. Revolution Confidential R Application: a prediction model for patient accrual in clinical trials, which is a critical success factor in completing trials on time and on budget.
  • 12. Revolution Confidential Quantifying Uncertainty in IT Estimates Shannon Terry and Ben Ogorek Nationwide Insurance (USA) http://www.inside-r.org/howto/quantifying-uncertainty-it-estimates
  • 13. Revolution Confidential R Application: render accurate estimates of IT work effort, critical for deciding where in technology a business should invest.
  • 14. Revolution Confidential knitr: Elegant, flexible and fast dynamic report generation with R YihuiXie, PhD Candidate at Department of Statistics, Iowa State University (USA) "As an old Chinese saying goes, nobody can smell your wine if it is stored in a deep alley, no matter how good it smells. This contest has brought some good wine from people's backyard to the business world, which makes R smell even better. I appreciate the opportunity provided by Revolution Analytics to make my own wine." http://www.inside-r.org/howto/knitr-elegant-flexible-and-fast-dynamic-report-generation-r
  • 15. Revolution Confidential R Application: save time and human effort when creating reports based on R output by eliminating the need to re-enter figures.
  • 16. Revolution Confidential The leading commercial provider of software and support for the popular open source R statistics language. www.revolutionanalytics.com +1 (650) 646 9545 Twitter: @RevolutionR