SlideShare a Scribd company logo
© 2010 – 2016 eoda GmbHAndreas Wygrabek
Application fields for in
classical industrial-analytics
industry
eRum 2016
Andreas Wygrabek
Data Scientist
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Objectives
1. Differentiation of data science and classical analytics tasks
in industry
2. Application scenarios for R in industry
3. Reveal the potential of R in scenarios of classical analytics
What is this talk about?
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Representative applications of ...
Data Science
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
AnalyticMetrological Data Data Science
Data Science | Energy Forecast
Weather Forecast
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
AnalyticSensor Data Data Science
Data Science | Predictive Maintenance
Machine Failure Predictions
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
AnalyticCustomer Data Data Science
Data Science | Scoring
Conversion Probability
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Representative applications of ...
Classical_Analytics
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
AnalyticAcceptance Sampling Analytic
Classical Analytics | Incoming Goods Inspection
Results (Acceptance, Rejection)
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Analytic
Sampling Data
Analytic
Classical Analytics | Statistical Process Control
Process Charts
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Analytic
Sampling Data
Analytic
Classical Analytics | Design of Experiments
Cause-Effect-Relations
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
How do the applications of data science and
classical analytics in industry differ?
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Exploratory Data Analysis
(Data Science Methods)
Predictive
Classification
Regression
Clusteranalysis
Modelling
PCA
Forecasts
Data-Mining
Algorithms
Statistics
Mu Sigma
alpha/beta
ProbabilitiesNormal Distribution
Confidence
Inference Statistics
Descriptive
Statistics
Mean
Range
Variance
Correlation
…
…
Time Series
…
Testing
Deep Learning
Analytics and Data Science | Methodology
Analytics Data Science
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Analytics and Data Science | Project Management
Analytic: Traditional PM
- Solution known
- Standardized Issues
- Ressource estimation
Data Science: Agile
- Interative solution
- Individual Issues
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Analytics and Data Science | Data
Analytic: Data is certain
- Data certainly contains
all required informations
Data Science: Data is uncertain
- Often it is not certain that
the data contains the
required information
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Analytics and Data Science | Difficulty
Analytic is complicated
- Experts will solve the issue
Data Science is complex
- No guarantee
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Analytics and Data Science | Location
Analytic:
Data Science:
- Quality Management
- Production
- IT
- Business Intelligence
- Data Science Lab
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Analytics and Data Science | Implementation
Analytic: Choosing the right tool
Data Science: Proof of Concept
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
How capable is R to solve the issues which are
typical in industry?
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
- Incoming Goods Inspection
- Sampling
- AcceptanceSampling
- Statistical Process Control
- spc
- qcc
- IQCC
- qualityTools
- SixSigma
- DoE
- CRAN Task View: Design of Experiments (DoE) &
Analysis of Experimental Data
- Most used package: agricolae
Classical_Analytics
Reporting
- knitr
- shiny
- interfaces to external
software
in
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
Mind the gap
1. R is powerfull – all the tasks mentioned can be solved
2. R is free
3. R is able to report
4. The need for new tools in classical analytics is growing
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
What are the reasons?
1. Qualification
2. Old processes
3. Established Software
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
To Do´s
1. Bring R-Developers closer to QM and
production
2. Upskill engineers in R
3. Further package development (AQL, ISO
2859, ISO 3951)
4. Create stable R environments
© 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de
@eodaGmbH
@eodaGmbH eodaGmbH
blog.eoda.de
eoda GmbH
Universitätsplatz 12
34127 Kassel - Germany
www.eoda.de/en
info@eoda.de
+49 561 202724-40
The Data Science Specialists.

More Related Content

What's hot

Industrial success cases: MANUFACTURA MODERNA DE METALES
Industrial success cases: MANUFACTURA MODERNA DE METALESIndustrial success cases: MANUFACTURA MODERNA DE METALES
Industrial success cases: MANUFACTURA MODERNA DE METALES
Agència per a la Competitivitat de l'empresa - ACCIÓ
 
Flexi Force
Flexi ForceFlexi Force
Flexi Force
rsr2u
 
CR May 2015 - OOA profile
CR May 2015 - OOA profileCR May 2015 - OOA profile
CR May 2015 - OOA profile
Thunile Nkosi
 
Portfolio JHK Architecten
Portfolio JHK ArchitectenPortfolio JHK Architecten
Portfolio JHK Architecten
jhkarchitecten
 
Concept 5 North Overview V1
Concept 5 North Overview V1Concept 5 North Overview V1
Concept 5 North Overview V1
concept5north
 
New CV LH English
New CV LH EnglishNew CV LH English
New CV LH English
Laurent Hennequin
 
Kal slide deck techmeetup amsterdam
Kal slide deck   techmeetup amsterdamKal slide deck   techmeetup amsterdam
Kal slide deck techmeetup amsterdam
TechMeetups
 
Swisscom Intranet Transformation Journey - Digital Workplace Group live
Swisscom Intranet Transformation Journey - Digital Workplace Group liveSwisscom Intranet Transformation Journey - Digital Workplace Group live
Swisscom Intranet Transformation Journey - Digital Workplace Group live
Thomas Maeder
 

What's hot (8)

Industrial success cases: MANUFACTURA MODERNA DE METALES
Industrial success cases: MANUFACTURA MODERNA DE METALESIndustrial success cases: MANUFACTURA MODERNA DE METALES
Industrial success cases: MANUFACTURA MODERNA DE METALES
 
Flexi Force
Flexi ForceFlexi Force
Flexi Force
 
CR May 2015 - OOA profile
CR May 2015 - OOA profileCR May 2015 - OOA profile
CR May 2015 - OOA profile
 
Portfolio JHK Architecten
Portfolio JHK ArchitectenPortfolio JHK Architecten
Portfolio JHK Architecten
 
Concept 5 North Overview V1
Concept 5 North Overview V1Concept 5 North Overview V1
Concept 5 North Overview V1
 
New CV LH English
New CV LH EnglishNew CV LH English
New CV LH English
 
Kal slide deck techmeetup amsterdam
Kal slide deck   techmeetup amsterdamKal slide deck   techmeetup amsterdam
Kal slide deck techmeetup amsterdam
 
Swisscom Intranet Transformation Journey - Digital Workplace Group live
Swisscom Intranet Transformation Journey - Digital Workplace Group liveSwisscom Intranet Transformation Journey - Digital Workplace Group live
Swisscom Intranet Transformation Journey - Digital Workplace Group live
 

Viewers also liked

Data-Based Maintenance: The Killer App for IoT
Data-Based Maintenance: The Killer App for IoTData-Based Maintenance: The Killer App for IoT
Data-Based Maintenance: The Killer App for IoT
Michael Kanellos
 
IOQ Protocol
IOQ ProtocolIOQ Protocol
IOQ Protocol
arathyarun
 
Implementierung von R im Mittelstand
Implementierung von R im MittelstandImplementierung von R im Mittelstand
Implementierung von R im Mittelstand
eoda GmbH
 
eoda R-Akademie 2016
eoda R-Akademie 2016eoda R-Akademie 2016
eoda R-Akademie 2016
eoda GmbH
 
eoda | R-Support
eoda | R-Support eoda | R-Support
eoda | R-Support
eoda GmbH
 
eoda R-Akademie 2015_Kursprogramm
eoda R-Akademie 2015_Kursprogrammeoda R-Akademie 2015_Kursprogramm
eoda R-Akademie 2015_Kursprogramm
eoda GmbH
 
BA Summit 2014 Predictive maintenance: Met big data het lek dichten
BA Summit 2014  Predictive maintenance: Met big data het lek dichtenBA Summit 2014  Predictive maintenance: Met big data het lek dichten
BA Summit 2014 Predictive maintenance: Met big data het lek dichten
Daniel Westzaan
 
Predictive maintenance withsensors_in_utilities_
Predictive maintenance withsensors_in_utilities_Predictive maintenance withsensors_in_utilities_
Predictive maintenance withsensors_in_utilities_
Tina Zhang
 
Predictive Maintenance with R
Predictive Maintenance with RPredictive Maintenance with R
Predictive Maintenance with R
eoda GmbH
 
SAP CBM
SAP CBMSAP CBM
SAP CBM
vvnalla
 
[Tutorial] building machine learning models for predictive maintenance applic...
[Tutorial] building machine learning models for predictive maintenance applic...[Tutorial] building machine learning models for predictive maintenance applic...
[Tutorial] building machine learning models for predictive maintenance applic...
PAPIs.io
 

Viewers also liked (11)

Data-Based Maintenance: The Killer App for IoT
Data-Based Maintenance: The Killer App for IoTData-Based Maintenance: The Killer App for IoT
Data-Based Maintenance: The Killer App for IoT
 
IOQ Protocol
IOQ ProtocolIOQ Protocol
IOQ Protocol
 
Implementierung von R im Mittelstand
Implementierung von R im MittelstandImplementierung von R im Mittelstand
Implementierung von R im Mittelstand
 
eoda R-Akademie 2016
eoda R-Akademie 2016eoda R-Akademie 2016
eoda R-Akademie 2016
 
eoda | R-Support
eoda | R-Support eoda | R-Support
eoda | R-Support
 
eoda R-Akademie 2015_Kursprogramm
eoda R-Akademie 2015_Kursprogrammeoda R-Akademie 2015_Kursprogramm
eoda R-Akademie 2015_Kursprogramm
 
BA Summit 2014 Predictive maintenance: Met big data het lek dichten
BA Summit 2014  Predictive maintenance: Met big data het lek dichtenBA Summit 2014  Predictive maintenance: Met big data het lek dichten
BA Summit 2014 Predictive maintenance: Met big data het lek dichten
 
Predictive maintenance withsensors_in_utilities_
Predictive maintenance withsensors_in_utilities_Predictive maintenance withsensors_in_utilities_
Predictive maintenance withsensors_in_utilities_
 
Predictive Maintenance with R
Predictive Maintenance with RPredictive Maintenance with R
Predictive Maintenance with R
 
SAP CBM
SAP CBMSAP CBM
SAP CBM
 
[Tutorial] building machine learning models for predictive maintenance applic...
[Tutorial] building machine learning models for predictive maintenance applic...[Tutorial] building machine learning models for predictive maintenance applic...
[Tutorial] building machine learning models for predictive maintenance applic...
 

Similar to Application fields of R in classical industrial analytics

The use of R in Predictive Maintenance: A use case with TRUMPF Laser GmbH
The use of R in Predictive Maintenance: A use case with TRUMPF Laser GmbHThe use of R in Predictive Maintenance: A use case with TRUMPF Laser GmbH
The use of R in Predictive Maintenance: A use case with TRUMPF Laser GmbH
eoda GmbH
 
Oracle IoT Cloud Service - First practical experience
Oracle IoT Cloud Service - First practical experience Oracle IoT Cloud Service - First practical experience
Oracle IoT Cloud Service - First practical experience
OPITZ CONSULTING Deutschland
 
DTIM 2016 - Post Event Report
DTIM 2016 - Post Event ReportDTIM 2016 - Post Event Report
DTIM 2016 - Post Event Report
Ramona Kohrs
 
Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...
Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...
Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...
Amazon Web Services
 
Viviota: R&D Engineering Analysis & Data Management
Viviota: R&D Engineering Analysis & Data ManagementViviota: R&D Engineering Analysis & Data Management
Viviota: R&D Engineering Analysis & Data Management
Doug Norton
 
The Journey to Big Data Analytics
The Journey to Big Data AnalyticsThe Journey to Big Data Analytics
The Journey to Big Data Analytics
Dr.Stefan Radtke
 
Feira IAA 2019
Feira IAA 2019Feira IAA 2019
Feira IAA 2019
AEP | INTERNACIONAL
 
Partner Exec Summit 2018 - Frankfurt: AIOps
Partner Exec Summit 2018 - Frankfurt: AIOpsPartner Exec Summit 2018 - Frankfurt: AIOps
Partner Exec Summit 2018 - Frankfurt: AIOps
Splunk
 
Cambashi Industrial IoT introduction at Connect event 2017.06.21
Cambashi Industrial IoT introduction at Connect event 2017.06.21Cambashi Industrial IoT introduction at Connect event 2017.06.21
Cambashi Industrial IoT introduction at Connect event 2017.06.21
CambashiLtd
 
Infodream
InfodreamInfodream
Infodream
Infodream
 
Automatisierte Provisionierung einer Data Lab Umgebung für Data Scientists
Automatisierte Provisionierung einer Data Lab Umgebung für Data ScientistsAutomatisierte Provisionierung einer Data Lab Umgebung für Data Scientists
Automatisierte Provisionierung einer Data Lab Umgebung für Data Scientists
Fabian Hardt
 
Dallas TechWeek - JoinPad
Dallas TechWeek - JoinPadDallas TechWeek - JoinPad
Dallas TechWeek - JoinPad
JoinPad Company
 
Da Industria 4.0 a Azienda 4.0
Da Industria 4.0 a Azienda 4.0Da Industria 4.0 a Azienda 4.0
Da Industria 4.0 a Azienda 4.0
Matteo Masi
 
AIOps Roundtable Munich 2018
AIOps Roundtable Munich 2018AIOps Roundtable Munich 2018
AIOps Roundtable Munich 2018
Splunk
 
Sap Leonardo IoT Overview
Sap Leonardo IoT OverviewSap Leonardo IoT Overview
Sap Leonardo IoT Overview
Pierre Erasmus
 
DMT GROUP Company Presentation
DMT GROUP Company PresentationDMT GROUP Company Presentation
DMT GROUP Company Presentation
DMT GROUP
 
940 paw business general session - ssg - data-robot
940 paw business   general session - ssg - data-robot940 paw business   general session - ssg - data-robot
940 paw business general session - ssg - data-robot
Rising Media, Inc.
 
940 diamond sponsor sengupta,_using our laptop
940 diamond sponsor sengupta,_using our laptop940 diamond sponsor sengupta,_using our laptop
940 diamond sponsor sengupta,_using our laptop
Rising Media, Inc.
 
940 diamond sponsor sengupta
940 diamond sponsor sengupta940 diamond sponsor sengupta
940 diamond sponsor sengupta
Rising Media, Inc.
 
Realizing Traceability for Safety and Certainty
Realizing Traceability for Safety and CertaintyRealizing Traceability for Safety and Certainty
Realizing Traceability for Safety and Certainty
Steven Vettermann
 

Similar to Application fields of R in classical industrial analytics (20)

The use of R in Predictive Maintenance: A use case with TRUMPF Laser GmbH
The use of R in Predictive Maintenance: A use case with TRUMPF Laser GmbHThe use of R in Predictive Maintenance: A use case with TRUMPF Laser GmbH
The use of R in Predictive Maintenance: A use case with TRUMPF Laser GmbH
 
Oracle IoT Cloud Service - First practical experience
Oracle IoT Cloud Service - First practical experience Oracle IoT Cloud Service - First practical experience
Oracle IoT Cloud Service - First practical experience
 
DTIM 2016 - Post Event Report
DTIM 2016 - Post Event ReportDTIM 2016 - Post Event Report
DTIM 2016 - Post Event Report
 
Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...
Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...
Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...
 
Viviota: R&D Engineering Analysis & Data Management
Viviota: R&D Engineering Analysis & Data ManagementViviota: R&D Engineering Analysis & Data Management
Viviota: R&D Engineering Analysis & Data Management
 
The Journey to Big Data Analytics
The Journey to Big Data AnalyticsThe Journey to Big Data Analytics
The Journey to Big Data Analytics
 
Feira IAA 2019
Feira IAA 2019Feira IAA 2019
Feira IAA 2019
 
Partner Exec Summit 2018 - Frankfurt: AIOps
Partner Exec Summit 2018 - Frankfurt: AIOpsPartner Exec Summit 2018 - Frankfurt: AIOps
Partner Exec Summit 2018 - Frankfurt: AIOps
 
Cambashi Industrial IoT introduction at Connect event 2017.06.21
Cambashi Industrial IoT introduction at Connect event 2017.06.21Cambashi Industrial IoT introduction at Connect event 2017.06.21
Cambashi Industrial IoT introduction at Connect event 2017.06.21
 
Infodream
InfodreamInfodream
Infodream
 
Automatisierte Provisionierung einer Data Lab Umgebung für Data Scientists
Automatisierte Provisionierung einer Data Lab Umgebung für Data ScientistsAutomatisierte Provisionierung einer Data Lab Umgebung für Data Scientists
Automatisierte Provisionierung einer Data Lab Umgebung für Data Scientists
 
Dallas TechWeek - JoinPad
Dallas TechWeek - JoinPadDallas TechWeek - JoinPad
Dallas TechWeek - JoinPad
 
Da Industria 4.0 a Azienda 4.0
Da Industria 4.0 a Azienda 4.0Da Industria 4.0 a Azienda 4.0
Da Industria 4.0 a Azienda 4.0
 
AIOps Roundtable Munich 2018
AIOps Roundtable Munich 2018AIOps Roundtable Munich 2018
AIOps Roundtable Munich 2018
 
Sap Leonardo IoT Overview
Sap Leonardo IoT OverviewSap Leonardo IoT Overview
Sap Leonardo IoT Overview
 
DMT GROUP Company Presentation
DMT GROUP Company PresentationDMT GROUP Company Presentation
DMT GROUP Company Presentation
 
940 paw business general session - ssg - data-robot
940 paw business   general session - ssg - data-robot940 paw business   general session - ssg - data-robot
940 paw business general session - ssg - data-robot
 
940 diamond sponsor sengupta,_using our laptop
940 diamond sponsor sengupta,_using our laptop940 diamond sponsor sengupta,_using our laptop
940 diamond sponsor sengupta,_using our laptop
 
940 diamond sponsor sengupta
940 diamond sponsor sengupta940 diamond sponsor sengupta
940 diamond sponsor sengupta
 
Realizing Traceability for Safety and Certainty
Realizing Traceability for Safety and CertaintyRealizing Traceability for Safety and Certainty
Realizing Traceability for Safety and Certainty
 

Recently uploaded

Girls Call Vadodara 000XX00000 Provide Best And Top Girl Service And No1 in City
Girls Call Vadodara 000XX00000 Provide Best And Top Girl Service And No1 in CityGirls Call Vadodara 000XX00000 Provide Best And Top Girl Service And No1 in City
Girls Call Vadodara 000XX00000 Provide Best And Top Girl Service And No1 in City
gargnatasha985
 
Best Girls Call Navi Mumbai 9930245274 Provide Best And Top Girl Service And ...
Best Girls Call Navi Mumbai 9930245274 Provide Best And Top Girl Service And ...Best Girls Call Navi Mumbai 9930245274 Provide Best And Top Girl Service And ...
Best Girls Call Navi Mumbai 9930245274 Provide Best And Top Girl Service And ...
sharonblush
 
OpenMetadata Spotlight - OpenMetadata @ Aspire by Vinol Joy Dsouza
OpenMetadata Spotlight - OpenMetadata @ Aspire by Vinol Joy DsouzaOpenMetadata Spotlight - OpenMetadata @ Aspire by Vinol Joy Dsouza
OpenMetadata Spotlight - OpenMetadata @ Aspire by Vinol Joy Dsouza
OpenMetadata
 
the potential of the development of the Ford–Fulkerson algorithm to solve the...
the potential of the development of the Ford–Fulkerson algorithm to solve the...the potential of the development of the Ford–Fulkerson algorithm to solve the...
the potential of the development of the Ford–Fulkerson algorithm to solve the...
huseindihon
 
potential development of the A* search algorithm specifically
potential development of the A* search algorithm specificallypotential development of the A* search algorithm specifically
potential development of the A* search algorithm specifically
huseindihon
 
potential usefulness of multi-agent maze-solving in general
potential usefulness of multi-agent maze-solving in generalpotential usefulness of multi-agent maze-solving in general
potential usefulness of multi-agent maze-solving in general
huseindihon
 
DataScienceConcept_Kanchana_Weerasinghe.pptx
DataScienceConcept_Kanchana_Weerasinghe.pptxDataScienceConcept_Kanchana_Weerasinghe.pptx
DataScienceConcept_Kanchana_Weerasinghe.pptx
Kanchana Weerasinghe
 
Celonis Busniess Analyst Virtual Internship.pptx
Celonis Busniess Analyst Virtual Internship.pptxCelonis Busniess Analyst Virtual Internship.pptx
Celonis Busniess Analyst Virtual Internship.pptx
AnujaGaikwad28
 
Supervised Learning (Data Science).pptx
Supervised Learning  (Data Science).pptxSupervised Learning  (Data Science).pptx
Supervised Learning (Data Science).pptx
TARIKU ENDALE
 
Welcome back to Instagram. Sign in to check out what your
Welcome back to Instagram. Sign in to check out what yourWelcome back to Instagram. Sign in to check out what your
Welcome back to Instagram. Sign in to check out what your
Virni Arrora
 
DU degree offer diploma Transcript
DU degree offer diploma TranscriptDU degree offer diploma Transcript
DU degree offer diploma Transcript
uapta
 
Beautiful Girls Call 9711199171 9711199171 Provide Best And Top Girl Service ...
Beautiful Girls Call 9711199171 9711199171 Provide Best And Top Girl Service ...Beautiful Girls Call 9711199171 9711199171 Provide Best And Top Girl Service ...
Beautiful Girls Call 9711199171 9711199171 Provide Best And Top Girl Service ...
janvikumar4133
 
Willis Tower //Sears Tower- Supertall Building .pdf
Willis Tower //Sears Tower- Supertall Building .pdfWillis Tower //Sears Tower- Supertall Building .pdf
Willis Tower //Sears Tower- Supertall Building .pdf
LINAT
 
transgenders community data in india by govt
transgenders community data in india by govttransgenders community data in india by govt
transgenders community data in india by govt
palanisamyiiiier
 
History and Application of LLM Leveraging Big Data
History and Application of LLM Leveraging Big DataHistory and Application of LLM Leveraging Big Data
History and Application of LLM Leveraging Big Data
Jongwook Woo
 
BDSM Girls Call Mumbai 👀 9820252231 👀 Cash Payment With Room DeliveryDelivery
BDSM Girls Call Mumbai 👀 9820252231 👀 Cash Payment With Room DeliveryDeliveryBDSM Girls Call Mumbai 👀 9820252231 👀 Cash Payment With Room DeliveryDelivery
BDSM Girls Call Mumbai 👀 9820252231 👀 Cash Payment With Room DeliveryDelivery
erynsouthern
 
Biometric Question Bank 2021 - 1 Soln-1.pdf
Biometric Question Bank 2021 - 1 Soln-1.pdfBiometric Question Bank 2021 - 1 Soln-1.pdf
Biometric Question Bank 2021 - 1 Soln-1.pdf
Joel Ngushwai
 
VIP Kanpur Girls Call Kanpur 0X0000000X Doorstep High-Profile Girl Service Ca...
VIP Kanpur Girls Call Kanpur 0X0000000X Doorstep High-Profile Girl Service Ca...VIP Kanpur Girls Call Kanpur 0X0000000X Doorstep High-Profile Girl Service Ca...
VIP Kanpur Girls Call Kanpur 0X0000000X Doorstep High-Profile Girl Service Ca...
satpalsheravatmumbai
 
Research proposal seminar ,Research Methodology
Research proposal seminar ,Research MethodologyResearch proposal seminar ,Research Methodology
Research proposal seminar ,Research Methodology
doctorzlife786
 
Oracle Database Desupported Features on 23ai (Part A)
Oracle Database Desupported Features on 23ai (Part A)Oracle Database Desupported Features on 23ai (Part A)
Oracle Database Desupported Features on 23ai (Part A)
Alireza Kamrani
 

Recently uploaded (20)

Girls Call Vadodara 000XX00000 Provide Best And Top Girl Service And No1 in City
Girls Call Vadodara 000XX00000 Provide Best And Top Girl Service And No1 in CityGirls Call Vadodara 000XX00000 Provide Best And Top Girl Service And No1 in City
Girls Call Vadodara 000XX00000 Provide Best And Top Girl Service And No1 in City
 
Best Girls Call Navi Mumbai 9930245274 Provide Best And Top Girl Service And ...
Best Girls Call Navi Mumbai 9930245274 Provide Best And Top Girl Service And ...Best Girls Call Navi Mumbai 9930245274 Provide Best And Top Girl Service And ...
Best Girls Call Navi Mumbai 9930245274 Provide Best And Top Girl Service And ...
 
OpenMetadata Spotlight - OpenMetadata @ Aspire by Vinol Joy Dsouza
OpenMetadata Spotlight - OpenMetadata @ Aspire by Vinol Joy DsouzaOpenMetadata Spotlight - OpenMetadata @ Aspire by Vinol Joy Dsouza
OpenMetadata Spotlight - OpenMetadata @ Aspire by Vinol Joy Dsouza
 
the potential of the development of the Ford–Fulkerson algorithm to solve the...
the potential of the development of the Ford–Fulkerson algorithm to solve the...the potential of the development of the Ford–Fulkerson algorithm to solve the...
the potential of the development of the Ford–Fulkerson algorithm to solve the...
 
potential development of the A* search algorithm specifically
potential development of the A* search algorithm specificallypotential development of the A* search algorithm specifically
potential development of the A* search algorithm specifically
 
potential usefulness of multi-agent maze-solving in general
potential usefulness of multi-agent maze-solving in generalpotential usefulness of multi-agent maze-solving in general
potential usefulness of multi-agent maze-solving in general
 
DataScienceConcept_Kanchana_Weerasinghe.pptx
DataScienceConcept_Kanchana_Weerasinghe.pptxDataScienceConcept_Kanchana_Weerasinghe.pptx
DataScienceConcept_Kanchana_Weerasinghe.pptx
 
Celonis Busniess Analyst Virtual Internship.pptx
Celonis Busniess Analyst Virtual Internship.pptxCelonis Busniess Analyst Virtual Internship.pptx
Celonis Busniess Analyst Virtual Internship.pptx
 
Supervised Learning (Data Science).pptx
Supervised Learning  (Data Science).pptxSupervised Learning  (Data Science).pptx
Supervised Learning (Data Science).pptx
 
Welcome back to Instagram. Sign in to check out what your
Welcome back to Instagram. Sign in to check out what yourWelcome back to Instagram. Sign in to check out what your
Welcome back to Instagram. Sign in to check out what your
 
DU degree offer diploma Transcript
DU degree offer diploma TranscriptDU degree offer diploma Transcript
DU degree offer diploma Transcript
 
Beautiful Girls Call 9711199171 9711199171 Provide Best And Top Girl Service ...
Beautiful Girls Call 9711199171 9711199171 Provide Best And Top Girl Service ...Beautiful Girls Call 9711199171 9711199171 Provide Best And Top Girl Service ...
Beautiful Girls Call 9711199171 9711199171 Provide Best And Top Girl Service ...
 
Willis Tower //Sears Tower- Supertall Building .pdf
Willis Tower //Sears Tower- Supertall Building .pdfWillis Tower //Sears Tower- Supertall Building .pdf
Willis Tower //Sears Tower- Supertall Building .pdf
 
transgenders community data in india by govt
transgenders community data in india by govttransgenders community data in india by govt
transgenders community data in india by govt
 
History and Application of LLM Leveraging Big Data
History and Application of LLM Leveraging Big DataHistory and Application of LLM Leveraging Big Data
History and Application of LLM Leveraging Big Data
 
BDSM Girls Call Mumbai 👀 9820252231 👀 Cash Payment With Room DeliveryDelivery
BDSM Girls Call Mumbai 👀 9820252231 👀 Cash Payment With Room DeliveryDeliveryBDSM Girls Call Mumbai 👀 9820252231 👀 Cash Payment With Room DeliveryDelivery
BDSM Girls Call Mumbai 👀 9820252231 👀 Cash Payment With Room DeliveryDelivery
 
Biometric Question Bank 2021 - 1 Soln-1.pdf
Biometric Question Bank 2021 - 1 Soln-1.pdfBiometric Question Bank 2021 - 1 Soln-1.pdf
Biometric Question Bank 2021 - 1 Soln-1.pdf
 
VIP Kanpur Girls Call Kanpur 0X0000000X Doorstep High-Profile Girl Service Ca...
VIP Kanpur Girls Call Kanpur 0X0000000X Doorstep High-Profile Girl Service Ca...VIP Kanpur Girls Call Kanpur 0X0000000X Doorstep High-Profile Girl Service Ca...
VIP Kanpur Girls Call Kanpur 0X0000000X Doorstep High-Profile Girl Service Ca...
 
Research proposal seminar ,Research Methodology
Research proposal seminar ,Research MethodologyResearch proposal seminar ,Research Methodology
Research proposal seminar ,Research Methodology
 
Oracle Database Desupported Features on 23ai (Part A)
Oracle Database Desupported Features on 23ai (Part A)Oracle Database Desupported Features on 23ai (Part A)
Oracle Database Desupported Features on 23ai (Part A)
 

Application fields of R in classical industrial analytics

  • 1. © 2010 – 2016 eoda GmbHAndreas Wygrabek Application fields for in classical industrial-analytics industry eRum 2016 Andreas Wygrabek Data Scientist
  • 2. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Objectives 1. Differentiation of data science and classical analytics tasks in industry 2. Application scenarios for R in industry 3. Reveal the potential of R in scenarios of classical analytics What is this talk about?
  • 3. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Representative applications of ... Data Science
  • 4. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de AnalyticMetrological Data Data Science Data Science | Energy Forecast Weather Forecast
  • 5. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de AnalyticSensor Data Data Science Data Science | Predictive Maintenance Machine Failure Predictions
  • 6. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de AnalyticCustomer Data Data Science Data Science | Scoring Conversion Probability
  • 7. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Representative applications of ... Classical_Analytics
  • 8. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de AnalyticAcceptance Sampling Analytic Classical Analytics | Incoming Goods Inspection Results (Acceptance, Rejection)
  • 9. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Analytic Sampling Data Analytic Classical Analytics | Statistical Process Control Process Charts
  • 10. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Analytic Sampling Data Analytic Classical Analytics | Design of Experiments Cause-Effect-Relations
  • 11. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de How do the applications of data science and classical analytics in industry differ?
  • 12. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Exploratory Data Analysis (Data Science Methods) Predictive Classification Regression Clusteranalysis Modelling PCA Forecasts Data-Mining Algorithms Statistics Mu Sigma alpha/beta ProbabilitiesNormal Distribution Confidence Inference Statistics Descriptive Statistics Mean Range Variance Correlation … … Time Series … Testing Deep Learning Analytics and Data Science | Methodology Analytics Data Science
  • 13. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Analytics and Data Science | Project Management Analytic: Traditional PM - Solution known - Standardized Issues - Ressource estimation Data Science: Agile - Interative solution - Individual Issues
  • 14. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Analytics and Data Science | Data Analytic: Data is certain - Data certainly contains all required informations Data Science: Data is uncertain - Often it is not certain that the data contains the required information
  • 15. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Analytics and Data Science | Difficulty Analytic is complicated - Experts will solve the issue Data Science is complex - No guarantee
  • 16. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Analytics and Data Science | Location Analytic: Data Science: - Quality Management - Production - IT - Business Intelligence - Data Science Lab
  • 17. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Analytics and Data Science | Implementation Analytic: Choosing the right tool Data Science: Proof of Concept
  • 18. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de How capable is R to solve the issues which are typical in industry?
  • 19. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de - Incoming Goods Inspection - Sampling - AcceptanceSampling - Statistical Process Control - spc - qcc - IQCC - qualityTools - SixSigma - DoE - CRAN Task View: Design of Experiments (DoE) & Analysis of Experimental Data - Most used package: agricolae Classical_Analytics Reporting - knitr - shiny - interfaces to external software in
  • 20. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de Mind the gap 1. R is powerfull – all the tasks mentioned can be solved 2. R is free 3. R is able to report 4. The need for new tools in classical analytics is growing
  • 21. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de What are the reasons? 1. Qualification 2. Old processes 3. Established Software
  • 22. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de To Do´s 1. Bring R-Developers closer to QM and production 2. Upskill engineers in R 3. Further package development (AQL, ISO 2859, ISO 3951) 4. Create stable R environments
  • 23. © 2010 – 2016 eoda GmbHAndreas Wygrabek www.eoda.de @eodaGmbH @eodaGmbH eodaGmbH blog.eoda.de eoda GmbH Universitätsplatz 12 34127 Kassel - Germany www.eoda.de/en info@eoda.de +49 561 202724-40 The Data Science Specialists.