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
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.
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
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