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

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

  • 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