Applications of R in Business contest: 2012

Revolution Confidential

Applications of R in

Business Contest

2012 Winners


A Direct Marketing In-flight

Forecasting System

Shannon Terry and Ben Ogorek

Nationwide Insurance (USA)

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

“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.”













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.


Mining Twitter for Airline

Consumer Sentiment

Jeffrey Breen, Atmosphere

Research Group (USA)

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

"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."













R Application: Mining Twitter to measure real-

time consumer satisfaction of airlines.

Revolution ConfidentialTowards an ideal steel plant - Online

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"













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.

Melt Databasis of Production Processes:

Prozess Analysis / Data MiningRobust Linear Regression with „S“ Scaleand

„MM“ Estimator

Measured, Temperature [ C]

Pre

dic

ted

Te

mp

era

ture

[C

] Examplaryresult

of robust regressionfor

ameassurementpoint

in steel plant

Analysis/Calculations

Regression-Coeffs.

Dynamic Recalculation

Temp(x1,..xn)=ax1+…nxn

• Melttemperatures

• Chemical composition

• Time durations

DB-Query

MeltProcess Data

Regr

Coefs

Data

Steel Converter Ladle Metallurgy Continuous Casting

• Amounts of:

- purging gas

- cooling scrap

- slag

• Casting format

(slab dimension)

• Stirring energy

…0.4160016

…0.1150015

…0.1140014

…0.5130013

…0.3120012

False0.5110011

False0.258008

True0.19009

True0.257007

…0.256006

…0.45005

Nein0.52002

Nein0.23003

Ja0.3…4004

Ja0.11001

X3X2X1Ident

…0.4160016

…0.1150015

…0.1140014

…0.5130013

…0.3120012

False0.5110011

False0.258008

True0.19009

True0.257007

…0.256006

…0.45005

Nein0.52002

Nein0.23003

Ja0.3…4004

Ja0.11001

X3X2X1Ident

Continuous Integration of R in Steel Plant Production

Regression Storing

Function Results

System PresetTemps.

KNV: Converter

VPL: Ladle Treatment

SGA: ContinuousCasting

Foreachmeas.Point


Time Series Analysis and Order

Prediction with R

ImreKocsis, KristófGáti, AndrásPataricza, and

GáborHorváth, Budapest University of

Technology and Economics (Hungary)

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

"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."

















R Application: a predictive model that supports visual data exploration and can be used to

predict to arbitrarily long horizons in the future.


Predict the duration of your

clinical trial

Stephen D. Simon

P.MeanConsulting / University of

Missouri-Kansas City (USA)

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

"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."













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.


Quantifying Uncertainty in IT

Estimates

Shannon Terry and Ben Ogorek

Nationwide Insurance (USA)

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











R Application: render accurate estimates of IT work effort, critical for deciding where in

technology a business should invest.


knitr: Elegant, flexible and fast

dynamic report generation with R

YihuiXie, PhD Candidate at

Department of Statistics, Iowa State

University (USA)

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

"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."





















R Application: save time and human effort when creating reports based on R output by

eliminating the need to re-enter figures.


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popular open source R statistics language.

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Applications of R in Business contest: 2012

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