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 a...
© 2013 SAP AG. All rights reserved. 3
Changes in the Value Creation of Enterprises
*) Source: Ocean Tomo
 Value is more a...
© 2013 SAP AG. All rights reserved. 4
Changes in the Value Creation of Enterprises
 How do enterprises manage their
key v...
© 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 ...
© 2013 SAP AG. All rights reserved. 7
Digital and Intangible Assets – Benefits from Big Data
 Much of the information rel...
© 2013 SAP AG. All rights reserved. 8
Digital and Intangible Assets – Benefits from Big Data
 Big Data may help to improv...
© 2013 SAP AG. All rights reserved. 9
Our Project – Building a Foundation for DIA
 Connect to multiple sources with
inter...
© 2013 SAP AG. All rights reserved. 10
Our Project – Building a Foundation for DIA
 Connect to multiple sources with
inte...
© 2013 SAP AG. All rights reserved. 11
Our Project – Building a Foundation for DIA
 Connect to multiple sources with
inte...
© 2013 SAP AG. All rights reserved. 12
Transparency on the Value Creation of a Company – Example
www.sapintegratedreport.c...
© 2013 SAP AG. All rights reserved. 13
Transparency on the Value Creation of a Company – Example
www.sapintegratedreport.c...
Dr. Rüdiger Eichin
SAP Products & Innovation
Dietmar-Hopp-Allee 16
69190 Walldorf
Germany
ruediger.eichin@sap.com
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EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value from Big Data for Enterprise Performance Management

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Selected Talk by Rüdiger Eichin, Research Manager at SAP AG, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Deriving Value from Big Data for Enterprise Performance Management.

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  • 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
  • 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
  • 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
  • Inmanyprocessesandformanydecisions digital andintangibleresourcesarehighly relevant oreventhetopictodecided uponNon-physicalrepresentation => hardtocapture & measureLicensesorknowledgemayreside in- or outside a comanyMost oftheaccountingandreportingsystemsarefocused on financialvalue, also logisticalsystemsfeedintofinancialsystems
  • Inmanyprocessesandformanydecisions digital andintangibleresourcesarehighly relevant oreventhetopictodecided uponNon-physicalrepresentation => hardtocapture & measureLicensesorknowledgemayreside in- or outside a comanyMost oftheaccountingandreportingsystemsarefocused on financialvalue, also logisticalsystemsfeedintofinancialsystems
  • Availability: Access moredatasources in- and outside thecompany, e.g. from sensor networks or social mediaQuality: Handle sourcedatawithoutETL / ProfilingSemantics: Handle multi-lingual contentRelevance: Useofstatisticalmethodstodeterminesignificance
  • 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
  • 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
  • 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
  • EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value from Big Data for Enterprise Performance Management

    1. 1. Deriving Value from Big Data for Enterprise Performance Management Dr. Rüdiger Eichin SAP Products & Innovation
    2. 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. 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. 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. 5. © 2013 SAP AG. All rights reserved. 5 Digital & Intangible Assets (DIA) – Challenges
    6. 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. 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. 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. 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. 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. 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. 12. © 2013 SAP AG. All rights reserved. 12 Transparency on the Value Creation of a Company – Example www.sapintegratedreport.com
    13. 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. 14. Dr. Rüdiger Eichin SAP Products & Innovation Dietmar-Hopp-Allee 16 69190 Walldorf Germany ruediger.eichin@sap.com
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