SlideShare une entreprise Scribd logo
1  sur  14
Deriving Value from Big Data
for Enterprise Performance Management
Dr. Rüdiger Eichin
SAP Products & Innovation
© 2013 SAP AG. All rights reserved. 2
Changes in the Value Creation of Enterprises
*) Source: Ocean Tomo
 Value is more and more depending
on digital and intangible assets
(DIA), e.g. Computerized
Information, Innovative Property,
Brands and Competencies
© 2013 SAP AG. All rights reserved. 3
Changes in the Value Creation of Enterprises
*) Source: Ocean Tomo
 Value is more and more depending
on digital and intangible assets
(DIA), e.g. Computerized
Information, Innovative
Property, Brands and
Competencies
17%
32%
68%
80% 80%
83%
68%
32%
20% 20%
0%
20%
40%
60%
80%
100%
1975 1985 1995 2005 2010
Intangible Assets Tangible Assets
Components of S&P 500 Market Value*  Stock Markets can serve as an
indicator for these changes
© 2013 SAP AG. All rights reserved. 4
Changes in the Value Creation of Enterprises
 How do enterprises manage their
key value drivers today ?
 Can Big Data help to improve the
situation ?
*) Source: Ocean Tomo
 Value is more and more depending
on digital and intangible assets
(DIA), e.g. Computerized
Information, Innovative
Property, Brands and
Competencies
17%
32%
68%
80% 80%
83%
68%
32%
20% 20%
0%
20%
40%
60%
80%
100%
1975 1985 1995 2005 2010
Intangible Assets Tangible Assets
Components of S&P 500 Market Value*  Stock Markets can serve as an
indicator for these changes
© 2013 SAP AG. All rights reserved. 5
Digital & Intangible Assets (DIA) – Challenges
© 2013 SAP AG. All rights reserved. 6
Digital & Intangible Assets (DIA) – Challenges
 Relevant for
many decisions
 Hard to
capture, measur
e and monitor
 May reside in-
and outside of a
company
 Control and
reporting
systems are
mainly focused
on financial
value
© 2013 SAP AG. All rights reserved. 7
Digital and Intangible Assets – Benefits from Big Data
 Much of the information related to DIA is unstructured, e.g. for
 Customer Relationship: Behavior and sentiment
 Human Capital: Collaborative tools & social company networks
 Intellectual Capital: Patents and ideas
© 2013 SAP AG. All rights reserved. 8
Digital and Intangible Assets – Benefits from Big Data
 Big Data may help to improve with regards to
 Availability
 Quality
 Semantics
 Relevance
 Much of the information related to DIA is unstructured, e.g. for
 Customer Relationship: Behavior and sentiment
 Human Capital: Collaborative tools & social company networks
 Intellectual Capital: Patents and ideas
© 2013 SAP AG. All rights reserved. 9
Our Project – Building a Foundation for DIA
 Connect to multiple sources with
internal and external,
structured and unstructured,
transactional or machine-generated,
and multi-lingual content
© 2013 SAP AG. All rights reserved. 10
Our Project – Building a Foundation for DIA
 Connect to multiple sources with
internal and external,
structured and unstructured,
transactional or machine-generated,
and multi-lingual content
 Extensible, e.g.with methods for
measuring,
predicting,
text analysis,
sentiment analysis,
and reporting of DIA
© 2013 SAP AG. All rights reserved. 11
Our Project – Building a Foundation for DIA
 Connect to multiple sources with
internal and external,
structured and unstructured,
transactional or machine-generated,
and multi-lingual content
 Extensible, e.g.with methods for
measuring,
predicting,
text analysis,
sentiment analysis,
and reporting of DIA
 Enabling new types of solutions and
services, e.g. for
Human Capital Managment,
or Marketing
© 2013 SAP AG. All rights reserved. 12
Transparency on the Value Creation of a Company – Example
www.sapintegratedreport.com
© 2013 SAP AG. All rights reserved. 13
Transparency on the Value Creation of a Company – Example
www.sapintegratedreport.com
Connecting financial and
non-financial performance
Dr. Rüdiger Eichin
SAP Products & Innovation
Dietmar-Hopp-Allee 16
69190 Walldorf
Germany
ruediger.eichin@sap.com

Contenu connexe

Tendances

Tendances (20)

EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
 
Gaia-X for Finland – Hub launch 17 June 2021
Gaia-X for Finland – Hub launch 17 June 2021Gaia-X for Finland – Hub launch 17 June 2021
Gaia-X for Finland – Hub launch 17 June 2021
 
EDF2013: Selected Talk, Ghislain Atemezing: Towards Interoperable Visualizati...
EDF2013: Selected Talk, Ghislain Atemezing: Towards Interoperable Visualizati...EDF2013: Selected Talk, Ghislain Atemezing: Towards Interoperable Visualizati...
EDF2013: Selected Talk, Ghislain Atemezing: Towards Interoperable Visualizati...
 
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...
 
EDF2014: Piek Vossen, Professor Computational Lexicology, VU University Amste...
EDF2014: Piek Vossen, Professor Computational Lexicology, VU University Amste...EDF2014: Piek Vossen, Professor Computational Lexicology, VU University Amste...
EDF2014: Piek Vossen, Professor Computational Lexicology, VU University Amste...
 
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
 
Evolution of Data Spaces
Evolution of Data SpacesEvolution of Data Spaces
Evolution of Data Spaces
 
Building blocks for fair digital society
Building blocks for fair digital societyBuilding blocks for fair digital society
Building blocks for fair digital society
 
EDF2014: Talk of Ksenia Petrichenko, Building Policy Analyst, Global Building...
EDF2014: Talk of Ksenia Petrichenko, Building Policy Analyst, Global Building...EDF2014: Talk of Ksenia Petrichenko, Building Policy Analyst, Global Building...
EDF2014: Talk of Ksenia Petrichenko, Building Policy Analyst, Global Building...
 
OPEN DEI vision about European Data Spaces
OPEN DEI vision about European Data SpacesOPEN DEI vision about European Data Spaces
OPEN DEI vision about European Data Spaces
 
Europe rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishEurope rules – making the fair data economy flourish
Europe rules – making the fair data economy flourish
 
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...
 
EDF2014: Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Direct...
EDF2014: Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Direct...EDF2014: Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Direct...
EDF2014: Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Direct...
 
Big Data Value Association (BDVA) - Intro Slide Pack
Big Data Value Association (BDVA) - Intro Slide PackBig Data Value Association (BDVA) - Intro Slide Pack
Big Data Value Association (BDVA) - Intro Slide Pack
 
EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...
EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...
EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...
 
The Value of EU Big Data Value Coordination & Support Actions for Industrial ...
The Value of EU Big Data Value Coordination & Support Actions for Industrial ...The Value of EU Big Data Value Coordination & Support Actions for Industrial ...
The Value of EU Big Data Value Coordination & Support Actions for Industrial ...
 
The EC strategy to enable data sharing spaces
The EC strategy to enable data sharing spacesThe EC strategy to enable data sharing spaces
The EC strategy to enable data sharing spaces
 
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...
 
BDE SC2 Workshop 3: Building a European Data Economy
BDE SC2 Workshop 3: Building a European Data EconomyBDE SC2 Workshop 3: Building a European Data Economy
BDE SC2 Workshop 3: Building a European Data Economy
 
Introduction to EOSCpilot project and topical activities in the area of EOSC
Introduction to EOSCpilot project and topical activities in the area of EOSCIntroduction to EOSCpilot project and topical activities in the area of EOSC
Introduction to EOSCpilot project and topical activities in the area of EOSC
 

En vedette

TLC Manchester - Russell Beck, Impellam
TLC Manchester - Russell Beck, ImpellamTLC Manchester - Russell Beck, Impellam
TLC Manchester - Russell Beck, Impellam
TALiNT Partners
 

En vedette (7)

Big data and employee engagement
Big data and employee engagementBig data and employee engagement
Big data and employee engagement
 
HR Analytics and KPIs with LBi HR HelpDesk
HR Analytics and KPIs with LBi HR HelpDeskHR Analytics and KPIs with LBi HR HelpDesk
HR Analytics and KPIs with LBi HR HelpDesk
 
EDF2014: Talk of Inge Buffolo, Head of Institutional Relations ad Linguistic ...
EDF2014: Talk of Inge Buffolo, Head of Institutional Relations ad Linguistic ...EDF2014: Talk of Inge Buffolo, Head of Institutional Relations ad Linguistic ...
EDF2014: Talk of Inge Buffolo, Head of Institutional Relations ad Linguistic ...
 
Performance Management in ‘Big Data’ Applications
Performance Management in ‘Big Data’ ApplicationsPerformance Management in ‘Big Data’ Applications
Performance Management in ‘Big Data’ Applications
 
TLC Manchester - Russell Beck, Impellam
TLC Manchester - Russell Beck, ImpellamTLC Manchester - Russell Beck, Impellam
TLC Manchester - Russell Beck, Impellam
 
HR Analytics, Done Right
HR Analytics, Done RightHR Analytics, Done Right
HR Analytics, Done Right
 
HR / Talent Analytics
HR / Talent AnalyticsHR / Talent Analytics
HR / Talent Analytics
 

Similaire à EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value from Big Data for Enterprise Performance Management

Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Matt Stubbs
 
Ken Demma - Big Data Morality MIT 7-22 v2
Ken Demma - Big Data Morality MIT 7-22 v2Ken Demma - Big Data Morality MIT 7-22 v2
Ken Demma - Big Data Morality MIT 7-22 v2
Ken Demma
 
Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014
Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014
Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014
pietvz
 

Similaire à EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value from Big Data for Enterprise Performance Management (20)

Incorporating cloud computing for enhanced communication v2
Incorporating cloud computing for enhanced communication v2Incorporating cloud computing for enhanced communication v2
Incorporating cloud computing for enhanced communication v2
 
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...
 It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201... It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...
 
GITEX Big Data Conference 2014 – SAP Presentation
GITEX Big Data Conference 2014 – SAP PresentationGITEX Big Data Conference 2014 – SAP Presentation
GITEX Big Data Conference 2014 – SAP Presentation
 
Better Business From Exploring Ideas - AWS Summit Sydney 2018
Better Business From Exploring Ideas - AWS Summit Sydney 2018Better Business From Exploring Ideas - AWS Summit Sydney 2018
Better Business From Exploring Ideas - AWS Summit Sydney 2018
 
BIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in FinanceBIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in Finance
 
BIG Data & Hadoop Applications in E-Commerce
BIG Data & Hadoop Applications in E-CommerceBIG Data & Hadoop Applications in E-Commerce
BIG Data & Hadoop Applications in E-Commerce
 
Benefiting from Big Data - A New Approach for the Telecom Industry
Benefiting from Big Data - A New Approach for the Telecom Industry  Benefiting from Big Data - A New Approach for the Telecom Industry
Benefiting from Big Data - A New Approach for the Telecom Industry
 
The value of our data
The value of our dataThe value of our data
The value of our data
 
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
 
Idiro Analytics - Analytics & Big Data
Idiro Analytics - Analytics & Big DataIdiro Analytics - Analytics & Big Data
Idiro Analytics - Analytics & Big Data
 
Leverage Unstructured Data to Create Knowledge Graphs: The Real Key to Unlock...
Leverage Unstructured Data to Create Knowledge Graphs: The Real Key to Unlock...Leverage Unstructured Data to Create Knowledge Graphs: The Real Key to Unlock...
Leverage Unstructured Data to Create Knowledge Graphs: The Real Key to Unlock...
 
Better Business from Exploring Ideas - Modern Data Architectures on AWS
Better Business from Exploring Ideas - Modern Data Architectures on AWSBetter Business from Exploring Ideas - Modern Data Architectures on AWS
Better Business from Exploring Ideas - Modern Data Architectures on AWS
 
Dr Christoph Nieuwoudt- AI in Financial Services
Dr Christoph Nieuwoudt- AI in Financial ServicesDr Christoph Nieuwoudt- AI in Financial Services
Dr Christoph Nieuwoudt- AI in Financial Services
 
Radical Optimization: How the Internet of Things, 3D Printing and Innovative ...
Radical Optimization: How the Internet of Things, 3D Printing and Innovative ...Radical Optimization: How the Internet of Things, 3D Printing and Innovative ...
Radical Optimization: How the Internet of Things, 3D Printing and Innovative ...
 
M. Savarese, Big Data as core engine to support the Wind Tre datadriven journey
M. Savarese,  Big Data as core engine to support the Wind Tre datadriven journeyM. Savarese,  Big Data as core engine to support the Wind Tre datadriven journey
M. Savarese, Big Data as core engine to support the Wind Tre datadriven journey
 
Ken Demma - Big Data Morality MIT 7-22 v2
Ken Demma - Big Data Morality MIT 7-22 v2Ken Demma - Big Data Morality MIT 7-22 v2
Ken Demma - Big Data Morality MIT 7-22 v2
 
BIG Data & Hadoop Applications in Retail
BIG Data & Hadoop Applications in RetailBIG Data & Hadoop Applications in Retail
BIG Data & Hadoop Applications in Retail
 
Business Analytics per il Finance: stato dell’arte, esigenze emergenti e nuov...
Business Analytics per il Finance: stato dell’arte, esigenze emergenti e nuov...Business Analytics per il Finance: stato dell’arte, esigenze emergenti e nuov...
Business Analytics per il Finance: stato dell’arte, esigenze emergenti e nuov...
 
Hadoop User Group 29Jan2015 Apache Flink / Haven / CapGemnini REX
Hadoop User Group 29Jan2015 Apache Flink / Haven / CapGemnini REXHadoop User Group 29Jan2015 Apache Flink / Haven / CapGemnini REX
Hadoop User Group 29Jan2015 Apache Flink / Haven / CapGemnini REX
 
Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014
Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014
Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014
 

Plus de European Data Forum

Plus de European Data Forum (14)

EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...
 
EDF2014: BIG - NESSI Networking Session: Intro Presentation
EDF2014: BIG - NESSI Networking Session: Intro PresentationEDF2014: BIG - NESSI Networking Session: Intro Presentation
EDF2014: BIG - NESSI Networking Session: Intro Presentation
 
EDF2014: Adrian Cristal, Barcelona Supercomputing Center, RETHINK big Project...
EDF2014: Adrian Cristal, Barcelona Supercomputing Center, RETHINK big Project...EDF2014: Adrian Cristal, Barcelona Supercomputing Center, RETHINK big Project...
EDF2014: Adrian Cristal, Barcelona Supercomputing Center, RETHINK big Project...
 
EDF2014: Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor: From ...
EDF2014: Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor: From ...EDF2014: Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor: From ...
EDF2014: Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor: From ...
 
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
 
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
 
EDF2014: Vedran Sabol, Head of the Knowledge Visualisation Area, Know-Center,...
EDF2014: Vedran Sabol, Head of the Knowledge Visualisation Area, Know-Center,...EDF2014: Vedran Sabol, Head of the Knowledge Visualisation Area, Know-Center,...
EDF2014: Vedran Sabol, Head of the Knowledge Visualisation Area, Know-Center,...
 
EDF2014: Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universid...
EDF2014: Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universid...EDF2014: Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universid...
EDF2014: Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universid...
 
EDF2014: Taru Rastas, Senior Advisor, Ministry of Communications of Finland: ...
EDF2014: Taru Rastas, Senior Advisor, Ministry of Communications of Finland: ...EDF2014: Taru Rastas, Senior Advisor, Ministry of Communications of Finland: ...
EDF2014: Taru Rastas, Senior Advisor, Ministry of Communications of Finland: ...
 
EDF2014: Harry Theocharis, General Secretary of Public Revenue in the Ministr...
EDF2014: Harry Theocharis, General Secretary of Public Revenue in the Ministr...EDF2014: Harry Theocharis, General Secretary of Public Revenue in the Ministr...
EDF2014: Harry Theocharis, General Secretary of Public Revenue in the Ministr...
 
EDF2014: Talk of Ioannis Kotsiopoulos, European Dynamics: Semantics – Interop...
EDF2014: Talk of Ioannis Kotsiopoulos, European Dynamics: Semantics – Interop...EDF2014: Talk of Ioannis Kotsiopoulos, European Dynamics: Semantics – Interop...
EDF2014: Talk of Ioannis Kotsiopoulos, European Dynamics: Semantics – Interop...
 
EDF2014: Talk of Frank Kresin, Research Director, Waag Society, Netherlands: ...
EDF2014: Talk of Frank Kresin, Research Director, Waag Society, Netherlands: ...EDF2014: Talk of Frank Kresin, Research Director, Waag Society, Netherlands: ...
EDF2014: Talk of Frank Kresin, Research Director, Waag Society, Netherlands: ...
 
EDF2014: Talk of Vassileios Tsetsos, Chief Technical Officer, Mobics Ltd: Pre...
EDF2014: Talk of Vassileios Tsetsos, Chief Technical Officer, Mobics Ltd: Pre...EDF2014: Talk of Vassileios Tsetsos, Chief Technical Officer, Mobics Ltd: Pre...
EDF2014: Talk of Vassileios Tsetsos, Chief Technical Officer, Mobics Ltd: Pre...
 
EDF2014: Talk of Axel Polleres, Full Professor, WU - Vienna University of Eco...
EDF2014: Talk of Axel Polleres, Full Professor, WU - Vienna University of Eco...EDF2014: Talk of Axel Polleres, Full Professor, WU - Vienna University of Eco...
EDF2014: Talk of Axel Polleres, Full Professor, WU - Vienna University of Eco...
 

Dernier

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 

Dernier (20)

08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 

EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value from Big Data for Enterprise Performance Management

  • 1. Deriving Value from Big Data for Enterprise Performance Management Dr. Rüdiger Eichin SAP Products & Innovation
  • 2. © 2013 SAP AG. All rights reserved. 2 Changes in the Value Creation of Enterprises *) Source: Ocean Tomo  Value is more and more depending on digital and intangible assets (DIA), e.g. Computerized Information, Innovative Property, Brands and Competencies
  • 3. © 2013 SAP AG. All rights reserved. 3 Changes in the Value Creation of Enterprises *) Source: Ocean Tomo  Value is more and more depending on digital and intangible assets (DIA), e.g. Computerized Information, Innovative Property, Brands and Competencies 17% 32% 68% 80% 80% 83% 68% 32% 20% 20% 0% 20% 40% 60% 80% 100% 1975 1985 1995 2005 2010 Intangible Assets Tangible Assets Components of S&P 500 Market Value*  Stock Markets can serve as an indicator for these changes
  • 4. © 2013 SAP AG. All rights reserved. 4 Changes in the Value Creation of Enterprises  How do enterprises manage their key value drivers today ?  Can Big Data help to improve the situation ? *) Source: Ocean Tomo  Value is more and more depending on digital and intangible assets (DIA), e.g. Computerized Information, Innovative Property, Brands and Competencies 17% 32% 68% 80% 80% 83% 68% 32% 20% 20% 0% 20% 40% 60% 80% 100% 1975 1985 1995 2005 2010 Intangible Assets Tangible Assets Components of S&P 500 Market Value*  Stock Markets can serve as an indicator for these changes
  • 5. © 2013 SAP AG. All rights reserved. 5 Digital & Intangible Assets (DIA) – Challenges
  • 6. © 2013 SAP AG. All rights reserved. 6 Digital & Intangible Assets (DIA) – Challenges  Relevant for many decisions  Hard to capture, measur e and monitor  May reside in- and outside of a company  Control and reporting systems are mainly focused on financial value
  • 7. © 2013 SAP AG. All rights reserved. 7 Digital and Intangible Assets – Benefits from Big Data  Much of the information related to DIA is unstructured, e.g. for  Customer Relationship: Behavior and sentiment  Human Capital: Collaborative tools & social company networks  Intellectual Capital: Patents and ideas
  • 8. © 2013 SAP AG. All rights reserved. 8 Digital and Intangible Assets – Benefits from Big Data  Big Data may help to improve with regards to  Availability  Quality  Semantics  Relevance  Much of the information related to DIA is unstructured, e.g. for  Customer Relationship: Behavior and sentiment  Human Capital: Collaborative tools & social company networks  Intellectual Capital: Patents and ideas
  • 9. © 2013 SAP AG. All rights reserved. 9 Our Project – Building a Foundation for DIA  Connect to multiple sources with internal and external, structured and unstructured, transactional or machine-generated, and multi-lingual content
  • 10. © 2013 SAP AG. All rights reserved. 10 Our Project – Building a Foundation for DIA  Connect to multiple sources with internal and external, structured and unstructured, transactional or machine-generated, and multi-lingual content  Extensible, e.g.with methods for measuring, predicting, text analysis, sentiment analysis, and reporting of DIA
  • 11. © 2013 SAP AG. All rights reserved. 11 Our Project – Building a Foundation for DIA  Connect to multiple sources with internal and external, structured and unstructured, transactional or machine-generated, and multi-lingual content  Extensible, e.g.with methods for measuring, predicting, text analysis, sentiment analysis, and reporting of DIA  Enabling new types of solutions and services, e.g. for Human Capital Managment, or Marketing
  • 12. © 2013 SAP AG. All rights reserved. 12 Transparency on the Value Creation of a Company – Example www.sapintegratedreport.com
  • 13. © 2013 SAP AG. All rights reserved. 13 Transparency on the Value Creation of a Company – Example www.sapintegratedreport.com Connecting financial and non-financial performance
  • 14. Dr. Rüdiger Eichin SAP Products & Innovation Dietmar-Hopp-Allee 16 69190 Walldorf Germany ruediger.eichin@sap.com

Notes de l'éditeur

  1. Somethingchangeswithinthe last 20 years: IncreasingimportanceofIntangibleAssetslike Human Capital, Intellectual Capital (e.g. Brands), as an extreme youcanthinkof Google orTwitter…Multiple Initiatives on theirwaytoimprovethetransparancy on the non-financialperfomanceofthecompany => highermarketvaluation, betterratingbyinvestors, increasingbrandvalueandbetterreputation
  2. Somethingchangeswithinthe last 20 years: IncreasingimportanceofIntangibleAssetslike Human Capital, Intellectual Capital (e.g. Brands), as an extreme youcanthinkof Google orTwitter…Multiple Initiatives on theirwaytoimprovethetransparancy on the non-financialperfomanceofthecompany => highermarketvaluation, betterratingbyinvestors, increasingbrandvalueandbetterreputation
  3. Somethingchangeswithinthe last 20 years: IncreasingimportanceofIntangibleAssetslike Human Capital, Intellectual Capital (e.g. Brands), as an extreme youcanthinkof Google orTwitter…Multiple Initiatives on theirwaytoimprovethetransparancy on the non-financialperfomanceofthecompany => highermarketvaluation, betterratingbyinvestors, increasingbrandvalueandbetterreputation
  4. Inmanyprocessesandformanydecisions digital andintangibleresourcesarehighly relevant oreventhetopictodecided uponNon-physicalrepresentation => hardtocapture & measureLicensesorknowledgemayreside in- or outside a comanyMost oftheaccountingandreportingsystemsarefocused on financialvalue, also logisticalsystemsfeedintofinancialsystems
  5. Inmanyprocessesandformanydecisions digital andintangibleresourcesarehighly relevant oreventhetopictodecided uponNon-physicalrepresentation => hardtocapture & measureLicensesorknowledgemayreside in- or outside a comanyMost oftheaccountingandreportingsystemsarefocused on financialvalue, also logisticalsystemsfeedintofinancialsystems
  6. Availability: Access moredatasources in- and outside thecompany, e.g. from sensor networks or social mediaQuality: Handle sourcedatawithoutETL / ProfilingSemantics: Handle multi-lingual contentRelevance: Useofstatisticalmethodstodeterminesignificance
  7. We work on a foundation allowing to connecttovarioussources, andproviding a setof innovative methodologiesforcapturing, measuringandmanaging digital andintangibleassetsSuch a foundationenables the data-driven management of intangible assets and provides a platform for an ecosystem of partners to build new solutions and services
  8. We work on a foundation allowing to connecttovarioussources, andproviding a setof innovative methodologiesforcapturing, measuringandmanaging digital andintangibleassetsSuch a foundationenables the data-driven management of intangible assets and provides a platform for an ecosystem of partners to build new solutions and services
  9. We work on a foundation allowing to connecttovarioussources, andproviding a setof innovative methodologiesforcapturing, measuringandmanaging digital andintangibleassetsSuch a foundationenables the data-driven management of intangible assets and provides a platform for an ecosystem of partners to build new solutions and services