SlideShare a Scribd company logo
1 of 9
Download to read offline
Data Tagging Driving Value
Hunter Downey, SAP
Leading Across Five Markets




                                    TECHNOLOGY
APPLICATIONS   ANALYTICS   MOBILE                 CLOUD
                                     & DATABASE




                      In Memory HANA
Data Tagging Overview


          Overview
            Standardized way to compare
              spending and outlays

            Information structure applied to
              Recipients, Agencies and Treasury


          Strategy and Value
            Need standards and solution for
              volume

            Immediate impact on transparency
              and fraud, waste and abuse

            Significantly lower cost to grow and
              innovate




©  2011 SAP AG. All rights reserved.                3
Demonstration
Complete BI Suite to Put Together Information in the
Users’ Preferred Format




        1BI Suite                                                                                   Different Needs

     Access and transform              Visualize data for   Answer ad hoc     Determine trends          Find immediate
      corporate data into               better decision     questions and        from complex             answers to
       highly formatted                     making           interact with    historical data and     business questions
      reports for greater                                     information    make possible better
            insight                                                                 forecasts




©  2011 SAP AG. All rights reserved.                                                                                       5
A Solution for Different Users and High Volume




                             Data Source 1


                             Data Source 2



                             Data Source 3                HANA

                             Data Source 4   Accelerate




©  2011 SAP AG. All rights reserved.                             6
A Solution for Different Users and High Volume




©  2011 SAP AG. All rights reserved.             7
Cost of Data Without Tags

      Obstacles
                                                   Costs
        Manual Excel based process for results      Massive IT costs to consolidate results

        Massive error rate in combing data sets     Inability to easily innovate because of
                                                      infrastructure problems
        No repeatable way to reuse the process      Expensive and time consuming project
                                                      delivery
        Information is not comparable and less
          meaningful




©  2011 SAP AG. All rights reserved.                                                            8
Thank You!

More Related Content

What's hot

Downsizing Data Centers by NetApp IT
Downsizing Data Centers by NetApp ITDownsizing Data Centers by NetApp IT
Downsizing Data Centers by NetApp ITNetApp
 
Netezza integration with SAS software
Netezza integration with SAS softwareNetezza integration with SAS software
Netezza integration with SAS softwarePavel Zhivulin
 
Live Seminar Cloudera & Big Data Ecosystem
Live Seminar Cloudera & Big Data Ecosystem Live Seminar Cloudera & Big Data Ecosystem
Live Seminar Cloudera & Big Data Ecosystem Xpand IT
 
Data Visualisation - Where is the market going?
Data Visualisation - Where is the market going?Data Visualisation - Where is the market going?
Data Visualisation - Where is the market going?OptimalBI Limited
 
Raj babu principal solutions architect - BI, Data Lake, Big Data, Cloud
Raj babu   principal solutions architect - BI, Data Lake, Big Data, CloudRaj babu   principal solutions architect - BI, Data Lake, Big Data, Cloud
Raj babu principal solutions architect - BI, Data Lake, Big Data, CloudRaj Babu
 
Business in the Moment: From Reactive to Proactive
Business in the Moment: From Reactive to ProactiveBusiness in the Moment: From Reactive to Proactive
Business in the Moment: From Reactive to ProactiveSAP Analytics
 
Using AI-powered Automation for High Performance Data Pipelines in the Cloud
Using AI-powered Automation for High Performance Data Pipelines in the CloudUsing AI-powered Automation for High Performance Data Pipelines in the Cloud
Using AI-powered Automation for High Performance Data Pipelines in the CloudDevOps.com
 
Prologis: How Data Virtualization Enables Data Scientists
Prologis: How Data Virtualization Enables Data ScientistsPrologis: How Data Virtualization Enables Data Scientists
Prologis: How Data Virtualization Enables Data ScientistsDenodo
 
Postgres Vision 2018: Making Modern an Old Legacy System
Postgres Vision 2018: Making Modern an Old Legacy SystemPostgres Vision 2018: Making Modern an Old Legacy System
Postgres Vision 2018: Making Modern an Old Legacy SystemEDB
 
How real is multi-cloud for enterprises? Challenges of multi-cloud architecture
How real is multi-cloud for enterprises? Challenges of multi-cloud architectureHow real is multi-cloud for enterprises? Challenges of multi-cloud architecture
How real is multi-cloud for enterprises? Challenges of multi-cloud architectureDenodo
 

What's hot (11)

Downsizing Data Centers by NetApp IT
Downsizing Data Centers by NetApp ITDownsizing Data Centers by NetApp IT
Downsizing Data Centers by NetApp IT
 
Netezza integration with SAS software
Netezza integration with SAS softwareNetezza integration with SAS software
Netezza integration with SAS software
 
Live Seminar Cloudera & Big Data Ecosystem
Live Seminar Cloudera & Big Data Ecosystem Live Seminar Cloudera & Big Data Ecosystem
Live Seminar Cloudera & Big Data Ecosystem
 
Data Visualisation - Where is the market going?
Data Visualisation - Where is the market going?Data Visualisation - Where is the market going?
Data Visualisation - Where is the market going?
 
Raj babu principal solutions architect - BI, Data Lake, Big Data, Cloud
Raj babu   principal solutions architect - BI, Data Lake, Big Data, CloudRaj babu   principal solutions architect - BI, Data Lake, Big Data, Cloud
Raj babu principal solutions architect - BI, Data Lake, Big Data, Cloud
 
Business in the Moment: From Reactive to Proactive
Business in the Moment: From Reactive to ProactiveBusiness in the Moment: From Reactive to Proactive
Business in the Moment: From Reactive to Proactive
 
Using AI-powered Automation for High Performance Data Pipelines in the Cloud
Using AI-powered Automation for High Performance Data Pipelines in the CloudUsing AI-powered Automation for High Performance Data Pipelines in the Cloud
Using AI-powered Automation for High Performance Data Pipelines in the Cloud
 
Rb wilmer peres
Rb wilmer peresRb wilmer peres
Rb wilmer peres
 
Prologis: How Data Virtualization Enables Data Scientists
Prologis: How Data Virtualization Enables Data ScientistsPrologis: How Data Virtualization Enables Data Scientists
Prologis: How Data Virtualization Enables Data Scientists
 
Postgres Vision 2018: Making Modern an Old Legacy System
Postgres Vision 2018: Making Modern an Old Legacy SystemPostgres Vision 2018: Making Modern an Old Legacy System
Postgres Vision 2018: Making Modern an Old Legacy System
 
How real is multi-cloud for enterprises? Challenges of multi-cloud architecture
How real is multi-cloud for enterprises? Challenges of multi-cloud architectureHow real is multi-cloud for enterprises? Challenges of multi-cloud architecture
How real is multi-cloud for enterprises? Challenges of multi-cloud architecture
 

Similar to sap-demo-day.pdf

Sap Bi OnDemand Overview
Sap Bi OnDemand OverviewSap Bi OnDemand Overview
Sap Bi OnDemand OverviewJohnMeadows_SAP
 
AllAccessSAP 2012 Finale - SAP Slides (incl links)
AllAccessSAP 2012 Finale - SAP Slides (incl links)AllAccessSAP 2012 Finale - SAP Slides (incl links)
AllAccessSAP 2012 Finale - SAP Slides (incl links)BI Brainz Group
 
Compegence: Nagaraj Kulkarni - Hadoop and No SQL_TDWI_2011Jul23_Preso
Compegence: Nagaraj Kulkarni - Hadoop and No SQL_TDWI_2011Jul23_PresoCompegence: Nagaraj Kulkarni - Hadoop and No SQL_TDWI_2011Jul23_Preso
Compegence: Nagaraj Kulkarni - Hadoop and No SQL_TDWI_2011Jul23_PresoCOMPEGENCE
 
#SAPCloud Strategy Update May #Sapphirenow
#SAPCloud Strategy Update May #Sapphirenow#SAPCloud Strategy Update May #Sapphirenow
#SAPCloud Strategy Update May #SapphirenowSven Denecken
 
Business intelligence in the era of big data
Business intelligence in the era of big dataBusiness intelligence in the era of big data
Business intelligence in the era of big dataJC Raveneau
 
Adrian Simpson, Chief Innovation Officer at SAP - Differentiate Through Innov...
Adrian Simpson, Chief Innovation Officer at SAP - Differentiate Through Innov...Adrian Simpson, Chief Innovation Officer at SAP - Differentiate Through Innov...
Adrian Simpson, Chief Innovation Officer at SAP - Differentiate Through Innov...Global Business Events
 
Big data tim
Big data timBig data tim
Big data timT Weir
 
Https _sapmats-de.sap-ag.de_download_download
Https  _sapmats-de.sap-ag.de_download_downloadHttps  _sapmats-de.sap-ag.de_download_download
Https _sapmats-de.sap-ag.de_download_downloadMichelle Crapo
 
SAP HANA for Line of Business Finance
SAP HANA for Line of Business FinanceSAP HANA for Line of Business Finance
SAP HANA for Line of Business FinanceSAP Technology
 
What's New with SAP BusinessObjects Business Intelligence 4.1?
What's New with SAP BusinessObjects Business Intelligence 4.1?What's New with SAP BusinessObjects Business Intelligence 4.1?
What's New with SAP BusinessObjects Business Intelligence 4.1?SAP Analytics
 
2011 sap inside_track_eim_overview
2011 sap inside_track_eim_overview2011 sap inside_track_eim_overview
2011 sap inside_track_eim_overviewMichelle Crapo
 
Innovation Webinar - Using IFS Applications BI to drive business excellence
Innovation Webinar - Using IFS Applications BI to drive business excellenceInnovation Webinar - Using IFS Applications BI to drive business excellence
Innovation Webinar - Using IFS Applications BI to drive business excellenceIFS
 
Big Data World Forum
Big Data World ForumBig Data World Forum
Big Data World Forumbigdatawf
 
How PACE Layering bridges the GAP From Systems of Record to Systems of Engage...
How PACE Layering bridges the GAP From Systems of Record to Systems of Engage...How PACE Layering bridges the GAP From Systems of Record to Systems of Engage...
How PACE Layering bridges the GAP From Systems of Record to Systems of Engage...Jeff Shuey
 
Exclusive Verizon Employee Webinar: Getting More From Your CDR Data
Exclusive Verizon Employee Webinar: Getting More From Your CDR DataExclusive Verizon Employee Webinar: Getting More From Your CDR Data
Exclusive Verizon Employee Webinar: Getting More From Your CDR DataPentaho
 
Big Data analytics per le IT Operations
Big Data analytics per le IT OperationsBig Data analytics per le IT Operations
Big Data analytics per le IT OperationsHP Enterprise Italia
 
SAP Hana Solution Brief
SAP Hana Solution BriefSAP Hana Solution Brief
SAP Hana Solution Briefkavyakaya
 

Similar to sap-demo-day.pdf (20)

Analysis edition for olap
Analysis edition for olapAnalysis edition for olap
Analysis edition for olap
 
Sap Bi OnDemand Overview
Sap Bi OnDemand OverviewSap Bi OnDemand Overview
Sap Bi OnDemand Overview
 
AllAccessSAP 2012 Finale - SAP Slides (incl links)
AllAccessSAP 2012 Finale - SAP Slides (incl links)AllAccessSAP 2012 Finale - SAP Slides (incl links)
AllAccessSAP 2012 Finale - SAP Slides (incl links)
 
Compegence: Nagaraj Kulkarni - Hadoop and No SQL_TDWI_2011Jul23_Preso
Compegence: Nagaraj Kulkarni - Hadoop and No SQL_TDWI_2011Jul23_PresoCompegence: Nagaraj Kulkarni - Hadoop and No SQL_TDWI_2011Jul23_Preso
Compegence: Nagaraj Kulkarni - Hadoop and No SQL_TDWI_2011Jul23_Preso
 
#SAPCloud Strategy Update May #Sapphirenow
#SAPCloud Strategy Update May #Sapphirenow#SAPCloud Strategy Update May #Sapphirenow
#SAPCloud Strategy Update May #Sapphirenow
 
Business intelligence in the era of big data
Business intelligence in the era of big dataBusiness intelligence in the era of big data
Business intelligence in the era of big data
 
Adrian Simpson, Chief Innovation Officer at SAP - Differentiate Through Innov...
Adrian Simpson, Chief Innovation Officer at SAP - Differentiate Through Innov...Adrian Simpson, Chief Innovation Officer at SAP - Differentiate Through Innov...
Adrian Simpson, Chief Innovation Officer at SAP - Differentiate Through Innov...
 
Big data tim
Big data timBig data tim
Big data tim
 
Https _sapmats-de.sap-ag.de_download_download
Https  _sapmats-de.sap-ag.de_download_downloadHttps  _sapmats-de.sap-ag.de_download_download
Https _sapmats-de.sap-ag.de_download_download
 
2012 06 hortonworks paris hug
2012 06 hortonworks paris hug2012 06 hortonworks paris hug
2012 06 hortonworks paris hug
 
SAP HANA for Line of Business Finance
SAP HANA for Line of Business FinanceSAP HANA for Line of Business Finance
SAP HANA for Line of Business Finance
 
What's New with SAP BusinessObjects Business Intelligence 4.1?
What's New with SAP BusinessObjects Business Intelligence 4.1?What's New with SAP BusinessObjects Business Intelligence 4.1?
What's New with SAP BusinessObjects Business Intelligence 4.1?
 
2011 sap inside_track_eim_overview
2011 sap inside_track_eim_overview2011 sap inside_track_eim_overview
2011 sap inside_track_eim_overview
 
Innovation Webinar - Using IFS Applications BI to drive business excellence
Innovation Webinar - Using IFS Applications BI to drive business excellenceInnovation Webinar - Using IFS Applications BI to drive business excellence
Innovation Webinar - Using IFS Applications BI to drive business excellence
 
Big Data World Forum
Big Data World ForumBig Data World Forum
Big Data World Forum
 
How PACE Layering bridges the GAP From Systems of Record to Systems of Engage...
How PACE Layering bridges the GAP From Systems of Record to Systems of Engage...How PACE Layering bridges the GAP From Systems of Record to Systems of Engage...
How PACE Layering bridges the GAP From Systems of Record to Systems of Engage...
 
Exclusive Verizon Employee Webinar: Getting More From Your CDR Data
Exclusive Verizon Employee Webinar: Getting More From Your CDR DataExclusive Verizon Employee Webinar: Getting More From Your CDR Data
Exclusive Verizon Employee Webinar: Getting More From Your CDR Data
 
Technical presentation
Technical presentationTechnical presentation
Technical presentation
 
Big Data analytics per le IT Operations
Big Data analytics per le IT OperationsBig Data analytics per le IT Operations
Big Data analytics per le IT Operations
 
SAP Hana Solution Brief
SAP Hana Solution BriefSAP Hana Solution Brief
SAP Hana Solution Brief
 

More from Ed Dodds

Updated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural America
Updated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural AmericaUpdated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural America
Updated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural AmericaEd Dodds
 
ILSR 2019 12 rural coop policy brief update page 8
ILSR 2019 12 rural coop policy brief update page 8ILSR 2019 12 rural coop policy brief update page 8
ILSR 2019 12 rural coop policy brief update page 8Ed Dodds
 
Maximizing information and communications technologies for development in fai...
Maximizing information and communications technologies for development in fai...Maximizing information and communications technologies for development in fai...
Maximizing information and communications technologies for development in fai...Ed Dodds
 
Iris Ritter interconnection map
Iris Ritter interconnection mapIris Ritter interconnection map
Iris Ritter interconnection mapEd Dodds
 
Inoversity - Bob Metcalfe
Inoversity - Bob MetcalfeInoversity - Bob Metcalfe
Inoversity - Bob MetcalfeEd Dodds
 
Distributed Ledger Technology
Distributed Ledger TechnologyDistributed Ledger Technology
Distributed Ledger TechnologyEd Dodds
 
UCX: An Open Source Framework for HPC Network APIs and Beyond
UCX: An Open Source Framework for HPC Network APIs and BeyondUCX: An Open Source Framework for HPC Network APIs and Beyond
UCX: An Open Source Framework for HPC Network APIs and BeyondEd Dodds
 
Digital Inclusion and Meaningful Broadband Adoption Initiatives Colin Rhinesm...
Digital Inclusion and Meaningful Broadband Adoption Initiatives Colin Rhinesm...Digital Inclusion and Meaningful Broadband Adoption Initiatives Colin Rhinesm...
Digital Inclusion and Meaningful Broadband Adoption Initiatives Colin Rhinesm...Ed Dodds
 
Innovation Accelerators Report
Innovation Accelerators ReportInnovation Accelerators Report
Innovation Accelerators ReportEd Dodds
 
Strategy for American Innovation
Strategy for American InnovationStrategy for American Innovation
Strategy for American InnovationEd Dodds
 
Collaboration with NSFCloud
Collaboration with NSFCloudCollaboration with NSFCloud
Collaboration with NSFCloudEd Dodds
 
AppImpact: A Framework for Mobile Technology in Behavioral Healthcare
AppImpact: A Framework for Mobile Technology in Behavioral HealthcareAppImpact: A Framework for Mobile Technology in Behavioral Healthcare
AppImpact: A Framework for Mobile Technology in Behavioral HealthcareEd Dodds
 
Report to the President and Congress Ensuring Leadership in Federally Funded ...
Report to the President and Congress Ensuring Leadership in Federally Funded ...Report to the President and Congress Ensuring Leadership in Federally Funded ...
Report to the President and Congress Ensuring Leadership in Federally Funded ...Ed Dodds
 
Data Act Federal Register Notice Public Summary of Responses
Data Act Federal Register Notice Public Summary of ResponsesData Act Federal Register Notice Public Summary of Responses
Data Act Federal Register Notice Public Summary of ResponsesEd Dodds
 
Gloriad.flo con.2014.01
Gloriad.flo con.2014.01Gloriad.flo con.2014.01
Gloriad.flo con.2014.01Ed Dodds
 
2014 COMPENDIUM Edition of National Research and Education Networks in Europe
2014 COMPENDIUM Edition of National Research and  Education Networks in Europe2014 COMPENDIUM Edition of National Research and  Education Networks in Europe
2014 COMPENDIUM Edition of National Research and Education Networks in EuropeEd Dodds
 
New Westminster Keynote - Norman Jacknis
New Westminster Keynote - Norman JacknisNew Westminster Keynote - Norman Jacknis
New Westminster Keynote - Norman JacknisEd Dodds
 
HIMSS Innovation Pathways Summary
HIMSS Innovation Pathways SummaryHIMSS Innovation Pathways Summary
HIMSS Innovation Pathways SummaryEd Dodds
 

More from Ed Dodds (20)

Updated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural America
Updated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural AmericaUpdated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural America
Updated Policy Brief: Cooperatives Bring Fiber Internet Access to Rural America
 
ILSR 2019 12 rural coop policy brief update page 8
ILSR 2019 12 rural coop policy brief update page 8ILSR 2019 12 rural coop policy brief update page 8
ILSR 2019 12 rural coop policy brief update page 8
 
Maximizing information and communications technologies for development in fai...
Maximizing information and communications technologies for development in fai...Maximizing information and communications technologies for development in fai...
Maximizing information and communications technologies for development in fai...
 
Iris Ritter interconnection map
Iris Ritter interconnection mapIris Ritter interconnection map
Iris Ritter interconnection map
 
Inoversity - Bob Metcalfe
Inoversity - Bob MetcalfeInoversity - Bob Metcalfe
Inoversity - Bob Metcalfe
 
Distributed Ledger Technology
Distributed Ledger TechnologyDistributed Ledger Technology
Distributed Ledger Technology
 
UCX: An Open Source Framework for HPC Network APIs and Beyond
UCX: An Open Source Framework for HPC Network APIs and BeyondUCX: An Open Source Framework for HPC Network APIs and Beyond
UCX: An Open Source Framework for HPC Network APIs and Beyond
 
Digital Inclusion and Meaningful Broadband Adoption Initiatives Colin Rhinesm...
Digital Inclusion and Meaningful Broadband Adoption Initiatives Colin Rhinesm...Digital Inclusion and Meaningful Broadband Adoption Initiatives Colin Rhinesm...
Digital Inclusion and Meaningful Broadband Adoption Initiatives Colin Rhinesm...
 
Jetstream
JetstreamJetstream
Jetstream
 
Innovation Accelerators Report
Innovation Accelerators ReportInnovation Accelerators Report
Innovation Accelerators Report
 
Work.
Work.Work.
Work.
 
Strategy for American Innovation
Strategy for American InnovationStrategy for American Innovation
Strategy for American Innovation
 
Collaboration with NSFCloud
Collaboration with NSFCloudCollaboration with NSFCloud
Collaboration with NSFCloud
 
AppImpact: A Framework for Mobile Technology in Behavioral Healthcare
AppImpact: A Framework for Mobile Technology in Behavioral HealthcareAppImpact: A Framework for Mobile Technology in Behavioral Healthcare
AppImpact: A Framework for Mobile Technology in Behavioral Healthcare
 
Report to the President and Congress Ensuring Leadership in Federally Funded ...
Report to the President and Congress Ensuring Leadership in Federally Funded ...Report to the President and Congress Ensuring Leadership in Federally Funded ...
Report to the President and Congress Ensuring Leadership in Federally Funded ...
 
Data Act Federal Register Notice Public Summary of Responses
Data Act Federal Register Notice Public Summary of ResponsesData Act Federal Register Notice Public Summary of Responses
Data Act Federal Register Notice Public Summary of Responses
 
Gloriad.flo con.2014.01
Gloriad.flo con.2014.01Gloriad.flo con.2014.01
Gloriad.flo con.2014.01
 
2014 COMPENDIUM Edition of National Research and Education Networks in Europe
2014 COMPENDIUM Edition of National Research and  Education Networks in Europe2014 COMPENDIUM Edition of National Research and  Education Networks in Europe
2014 COMPENDIUM Edition of National Research and Education Networks in Europe
 
New Westminster Keynote - Norman Jacknis
New Westminster Keynote - Norman JacknisNew Westminster Keynote - Norman Jacknis
New Westminster Keynote - Norman Jacknis
 
HIMSS Innovation Pathways Summary
HIMSS Innovation Pathways SummaryHIMSS Innovation Pathways Summary
HIMSS Innovation Pathways Summary
 

sap-demo-day.pdf

  • 1. Data Tagging Driving Value Hunter Downey, SAP
  • 2. Leading Across Five Markets TECHNOLOGY APPLICATIONS ANALYTICS MOBILE CLOUD & DATABASE In Memory HANA
  • 3. Data Tagging Overview Overview   Standardized way to compare spending and outlays   Information structure applied to Recipients, Agencies and Treasury Strategy and Value   Need standards and solution for volume   Immediate impact on transparency and fraud, waste and abuse   Significantly lower cost to grow and innovate ©  2011 SAP AG. All rights reserved. 3
  • 5. Complete BI Suite to Put Together Information in the Users’ Preferred Format 1BI Suite Different Needs Access and transform Visualize data for Answer ad hoc Determine trends Find immediate corporate data into better decision questions and from complex answers to highly formatted making interact with historical data and business questions reports for greater information make possible better insight forecasts ©  2011 SAP AG. All rights reserved. 5
  • 6. A Solution for Different Users and High Volume Data Source 1 Data Source 2 Data Source 3 HANA Data Source 4 Accelerate ©  2011 SAP AG. All rights reserved. 6
  • 7. A Solution for Different Users and High Volume ©  2011 SAP AG. All rights reserved. 7
  • 8. Cost of Data Without Tags Obstacles Costs   Manual Excel based process for results   Massive IT costs to consolidate results   Massive error rate in combing data sets   Inability to easily innovate because of infrastructure problems   No repeatable way to reuse the process   Expensive and time consuming project delivery   Information is not comparable and less meaningful ©  2011 SAP AG. All rights reserved. 8