SlideShare a Scribd company logo

Asug Gov Sig Data Quality Metrics Report Sapphire 2008

•
•
N
nnorthrup

SAPPHIRE presentation by Metrics Taxonomy Team

Technology
1 of 26
Data Quality Metrics Taxonomy Thomas Fish – Air Products and Chemicals Richard King - barenakeData Nancy Northrup – Honeywell Carolyn Pickton – Leprino Foods Jan Slaby – Bayer Material Science
Learning Points ,[object Object],[object Object],[object Object]
Taxonomy – What does success look like? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ultimate goal at metric level – metric data base ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Return on Investment ,[object Object],[object Object],[object Object],[object Object]
Time Line ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oct-07 Nov-07 Dec-07 Jan-08 Feb-08 Mar-08 Apr-08 May-08 Jun-08 Jul-08 Aug-08 Sep-08 Oct-08 Nov-08 Future
Taxonomy - Guiding Principles ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Taxonomy basics – 12 level 0 Categories Four in scope Customer Materials Vendor Employee Reference Organizational Transportation Project Plant Maintenance EH&S Finance Operations
Taxonomy basics Four in scope Customer Materials Vendor Operations 3 12 Level 2 Level 1 Level 0 6 16 6 16 5 35
Taxonomy – Profile of interviewed companies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Leading Practices ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Key Learning – Different maturities ~50% of companies interviewed had no regularly measured metrics
Key Learning –Focus is on basic master data 2.1 Material Master (MM03) 2.2 Production/Planning-related data (excludes MRP 1-4, Work Scheduling Views in Matl Master) 2.3 Quality-related data (excludes QM view in Matl Master) 2.4 Sourcing/Procurement-related data (excludes Purchasing Views in Matl Master) 2.5 Sales-related Data (excludes Sales Org 1-2, Sales General Plant Views in Matl Master)
Key Learning – “info records” of interest, not yet measured ,[object Object],[object Object]
Taxonomy basics ,[object Object],[object Object]
Materials Metrics - level 0 and level 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Materials Drill Down - level 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Taxonomy - Materials drill down ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Material Metric: Examples ,[object Object],[object Object],[object Object]
Examples 1: MRP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Material Material Master MRP Planned Delivery Time Planned Delivery Time for Externally Procured Materials
MRP Example: As implemented ,[object Object],[object Object],Material Material Master MRP Planned Delivery Time Planned Delivery Time for Externally Procured Materials
Examples 2: Supply Chain Integrity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Material Material Master MRP Procurement Extended to Source Plant
Examples 3: Description Accuracy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Material Material Master Basic Data Material Identification Container Code Desc vs Classification
Taxonomy – Data operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THE ASK: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[ ] SESSION CODE: INSERT SESSION CODE Please remember to complete and return your evaluation form following this session. For ongoing education on this area of focus, visit the Year-Round Community page at www.asug.com/yrc

Recommended

How to get data lineage right
How to get data lineage rightHow to get data lineage right
How to get data lineage rightLeigh Hill
 
Approaches to data quality
Approaches to data qualityApproaches to data quality
Approaches to data qualityLeigh Hill
 
Using metrics to measure data quality
Using metrics to measure data qualityUsing metrics to measure data quality
Using metrics to measure data qualityLeigh Hill
 
Data Monetization
Data MonetizationData Monetization
Data MonetizationDATAVERSITY
 
Data lineage to drive compliance and as a business imperative
Data lineage to drive compliance and as a business imperativeData lineage to drive compliance and as a business imperative
Data lineage to drive compliance and as a business imperativeLeigh Hill
 
DAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDATAVERSITY
 
Confessions of a CDO - The Evolving Role of the Chief Data Officer
Confessions of a CDO - The Evolving Role of the Chief Data OfficerConfessions of a CDO - The Evolving Role of the Chief Data Officer
Confessions of a CDO - The Evolving Role of the Chief Data OfficerDATAVERSITY
 
Governing and Preparing Data for Analytics and Business
Governing and Preparing Data for Analytics and BusinessGoverning and Preparing Data for Analytics and Business
Governing and Preparing Data for Analytics and BusinessMark Smith
 

Recommended

How to get data lineage right
How to get data lineage rightHow to get data lineage right
How to get data lineage rightLeigh Hill
 
Approaches to data quality
Approaches to data qualityApproaches to data quality
Approaches to data qualityLeigh Hill
 
Using metrics to measure data quality
Using metrics to measure data qualityUsing metrics to measure data quality
Using metrics to measure data qualityLeigh Hill
 
Data Monetization
Data MonetizationData Monetization
Data MonetizationDATAVERSITY
 
Data lineage to drive compliance and as a business imperative
Data lineage to drive compliance and as a business imperativeData lineage to drive compliance and as a business imperative
Data lineage to drive compliance and as a business imperativeLeigh Hill
 
DAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDATAVERSITY
 
Confessions of a CDO - The Evolving Role of the Chief Data Officer
Confessions of a CDO - The Evolving Role of the Chief Data OfficerConfessions of a CDO - The Evolving Role of the Chief Data Officer
Confessions of a CDO - The Evolving Role of the Chief Data OfficerDATAVERSITY
 
Governing and Preparing Data for Analytics and Business
Governing and Preparing Data for Analytics and BusinessGoverning and Preparing Data for Analytics and Business
Governing and Preparing Data for Analytics and BusinessMark Smith
 
A Practical Guide to Implementing Effective BI Governance
A Practical Guide to Implementing Effective BI GovernanceA Practical Guide to Implementing Effective BI Governance
A Practical Guide to Implementing Effective BI GovernanceDATAVERSITY
 
The art of implementing data lineage
The art of implementing data lineageThe art of implementing data lineage
The art of implementing data lineageLeigh Hill
 
Slides: Achieving a “Single Source of Truth” with BI in Your Enterprise
Slides: Achieving a “Single Source of Truth” with BI in Your EnterpriseSlides: Achieving a “Single Source of Truth” with BI in Your Enterprise
Slides: Achieving a “Single Source of Truth” with BI in Your EnterpriseDATAVERSITY
 
Webinar: Data Quality, Data Engineering, and Data Science
Webinar: Data Quality, Data Engineering, and Data ScienceWebinar: Data Quality, Data Engineering, and Data Science
Webinar: Data Quality, Data Engineering, and Data ScienceDATAVERSITY
 
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...DATAVERSITY
 
Noise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataNoise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataDATAVERSITY
 
TargetStateFutureArchitect - DV
TargetStateFutureArchitect - DVTargetStateFutureArchitect - DV
TargetStateFutureArchitect - DVBhavendra Chavan
 
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...BCS Data Management Specialist Group
 
You Can’t Have Best in Class Governance Without Best in Class Data Lineage
You Can’t Have Best in Class Governance Without Best in Class Data LineageYou Can’t Have Best in Class Governance Without Best in Class Data Lineage
You Can’t Have Best in Class Governance Without Best in Class Data LineageDATAVERSITY
 
Modern Metadata Strategies
Modern Metadata StrategiesModern Metadata Strategies
Modern Metadata StrategiesDATAVERSITY
 
The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?DATAVERSITY
 
Predictions for the Future of Graph Database
Predictions for the Future of Graph DatabasePredictions for the Future of Graph Database
Predictions for the Future of Graph DatabaseNeo4j
 
Data quality
Data qualityData quality
Data qualitysethnainaa
 
Data management trends
Data management trendsData management trends
Data management trendsVivek Mohan
 
Enterprise Data Management
Enterprise Data ManagementEnterprise Data Management
Enterprise Data ManagementBhavendra Chavan
 
Data-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply ChainData-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply ChainDATAVERSITY
 
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & RisksDAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & RisksDATAVERSITY
 
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?Precisely
 
Enterprise Data Management Framework Overview
Enterprise Data Management Framework OverviewEnterprise Data Management Framework Overview
Enterprise Data Management Framework OverviewJohn Bao Vuu
 
Five steps to launch your data governance office
Five steps to launch your data governance officeFive steps to launch your data governance office
Five steps to launch your data governance officeDATAVERSITY
 
Software Testing Guide
Software Testing GuideSoftware Testing Guide
Software Testing Guidenazeer pasha
 
Develop a Data Quality Scorecard
Develop a Data Quality ScorecardDevelop a Data Quality Scorecard
Develop a Data Quality ScorecardInfoCheckPoint
 

More Related Content

What's hot

A Practical Guide to Implementing Effective BI Governance
A Practical Guide to Implementing Effective BI GovernanceA Practical Guide to Implementing Effective BI Governance
A Practical Guide to Implementing Effective BI GovernanceDATAVERSITY
 
The art of implementing data lineage
The art of implementing data lineageThe art of implementing data lineage
The art of implementing data lineageLeigh Hill
 
Slides: Achieving a “Single Source of Truth” with BI in Your Enterprise
Slides: Achieving a “Single Source of Truth” with BI in Your EnterpriseSlides: Achieving a “Single Source of Truth” with BI in Your Enterprise
Slides: Achieving a “Single Source of Truth” with BI in Your EnterpriseDATAVERSITY
 
Webinar: Data Quality, Data Engineering, and Data Science
Webinar: Data Quality, Data Engineering, and Data ScienceWebinar: Data Quality, Data Engineering, and Data Science
Webinar: Data Quality, Data Engineering, and Data ScienceDATAVERSITY
 
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...DATAVERSITY
 
Noise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataNoise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataDATAVERSITY
 
TargetStateFutureArchitect - DV
TargetStateFutureArchitect - DVTargetStateFutureArchitect - DV
TargetStateFutureArchitect - DVBhavendra Chavan
 
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...BCS Data Management Specialist Group
 
You Can’t Have Best in Class Governance Without Best in Class Data Lineage
You Can’t Have Best in Class Governance Without Best in Class Data LineageYou Can’t Have Best in Class Governance Without Best in Class Data Lineage
You Can’t Have Best in Class Governance Without Best in Class Data LineageDATAVERSITY
 
Modern Metadata Strategies
Modern Metadata StrategiesModern Metadata Strategies
Modern Metadata StrategiesDATAVERSITY
 
The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?DATAVERSITY
 
Predictions for the Future of Graph Database
Predictions for the Future of Graph DatabasePredictions for the Future of Graph Database
Predictions for the Future of Graph DatabaseNeo4j
 
Data management trends
Data management trendsData management trends
Data management trendsVivek Mohan
 
Enterprise Data Management
Enterprise Data ManagementEnterprise Data Management
Enterprise Data ManagementBhavendra Chavan
 
Data-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply ChainData-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply ChainDATAVERSITY
 
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & RisksDAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & RisksDATAVERSITY
 
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?Precisely
 
Enterprise Data Management Framework Overview
Enterprise Data Management Framework OverviewEnterprise Data Management Framework Overview
Enterprise Data Management Framework OverviewJohn Bao Vuu
 
Five steps to launch your data governance office
Five steps to launch your data governance officeFive steps to launch your data governance office
Five steps to launch your data governance officeDATAVERSITY
 

What's hot (20)

A Practical Guide to Implementing Effective BI Governance
A Practical Guide to Implementing Effective BI GovernanceA Practical Guide to Implementing Effective BI Governance
A Practical Guide to Implementing Effective BI Governance
 
The art of implementing data lineage
The art of implementing data lineageThe art of implementing data lineage
The art of implementing data lineage
 
Slides: Achieving a “Single Source of Truth” with BI in Your Enterprise
Slides: Achieving a “Single Source of Truth” with BI in Your EnterpriseSlides: Achieving a “Single Source of Truth” with BI in Your Enterprise
Slides: Achieving a “Single Source of Truth” with BI in Your Enterprise
 
Webinar: Data Quality, Data Engineering, and Data Science
Webinar: Data Quality, Data Engineering, and Data ScienceWebinar: Data Quality, Data Engineering, and Data Science
Webinar: Data Quality, Data Engineering, and Data Science
 
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
 
Noise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataNoise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in Data
 
TargetStateFutureArchitect - DV
TargetStateFutureArchitect - DVTargetStateFutureArchitect - DV
TargetStateFutureArchitect - DV
 
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...
The Great Data Debate (4) Implementing a lean approach to Data Quality Manage...
 
You Can’t Have Best in Class Governance Without Best in Class Data Lineage
You Can’t Have Best in Class Governance Without Best in Class Data LineageYou Can’t Have Best in Class Governance Without Best in Class Data Lineage
You Can’t Have Best in Class Governance Without Best in Class Data Lineage
 
Modern Metadata Strategies
Modern Metadata StrategiesModern Metadata Strategies
Modern Metadata Strategies
 
The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?The Evolving Role of the Data Architect – What Does It Mean for Your Career?
The Evolving Role of the Data Architect – What Does It Mean for Your Career?
 
Predictions for the Future of Graph Database
Predictions for the Future of Graph DatabasePredictions for the Future of Graph Database
Predictions for the Future of Graph Database
 
Data quality
Data qualityData quality
Data quality
 
Data management trends
Data management trendsData management trends
Data management trends
 
Enterprise Data Management
Enterprise Data ManagementEnterprise Data Management
Enterprise Data Management
 
Data-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply ChainData-Centric Analytics and Understanding the Full Data Supply Chain
Data-Centric Analytics and Understanding the Full Data Supply Chain
 
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & RisksDAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
 
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?
 
Enterprise Data Management Framework Overview
Enterprise Data Management Framework OverviewEnterprise Data Management Framework Overview
Enterprise Data Management Framework Overview
 
Five steps to launch your data governance office
Five steps to launch your data governance officeFive steps to launch your data governance office
Five steps to launch your data governance office
 

Viewers also liked

Software Testing Guide
Software Testing GuideSoftware Testing Guide
Software Testing Guidenazeer pasha
 
Develop a Data Quality Scorecard
Develop a Data Quality ScorecardDevelop a Data Quality Scorecard
Develop a Data Quality ScorecardInfoCheckPoint
 
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...JohannWanja
 
A few metrics about Open Data in the cultural sector
A few metrics about Open Data in the cultural sectorA few metrics about Open Data in the cultural sector
A few metrics about Open Data in the cultural sectorJoris Pekel
 
Publishing Linked Open Data in 15 minutes
Publishing Linked Open Data in 15 minutesPublishing Linked Open Data in 15 minutes
Publishing Linked Open Data in 15 minutesAlvaro Graves
 
Quality Metrics for Linked Open Data
Quality Metrics for Linked Open Data Quality Metrics for Linked Open Data
Quality Metrics for Linked Open Data ebrahim_bagheri
 
Introduction to open data quality et
Introduction to open data quality etIntroduction to open data quality et
Introduction to open data quality etOpen Data Support
 
An introduction to Linked (Open) Data
An introduction to Linked (Open) DataAn introduction to Linked (Open) Data
An introduction to Linked (Open) DataAli Khalili
 
Crowdsourcing Linked Data Quality Assessment
Crowdsourcing Linked Data Quality AssessmentCrowdsourcing Linked Data Quality Assessment
Crowdsourcing Linked Data Quality AssessmentAmrapali Zaveri, PhD
 
Overview of Open Data, Linked Data and Web Science
Overview of Open Data, Linked Data and Web ScienceOverview of Open Data, Linked Data and Web Science
Overview of Open Data, Linked Data and Web ScienceHaklae Kim
 
Populating a Data Quality Scorecard with Relevant Metrics (Whitepaper)
Populating a Data Quality Scorecard with Relevant Metrics (Whitepaper)Populating a Data Quality Scorecard with Relevant Metrics (Whitepaper)
Populating a Data Quality Scorecard with Relevant Metrics (Whitepaper)NAFCU Services Corporation
 
Linked Open Data Principles, Technologies and Examples
Linked Open Data Principles, Technologies and ExamplesLinked Open Data Principles, Technologies and Examples
Linked Open Data Principles, Technologies and ExamplesOpen Data Support
 
Evaluating the possibilities of DataCite for developing 'Open data metrics' o...
Evaluating the possibilities of DataCite for developing 'Open data metrics' o...Evaluating the possibilities of DataCite for developing 'Open data metrics' o...
Evaluating the possibilities of DataCite for developing 'Open data metrics' o...Nicolas Robinson-Garcia
 
Llinked open data training for EU institutions
Llinked open data training for EU institutionsLlinked open data training for EU institutions
Llinked open data training for EU institutionsOpen Data Support
 

Viewers also liked (15)

Software Testing Guide
Software Testing GuideSoftware Testing Guide
Software Testing Guide
 
Develop a Data Quality Scorecard
Develop a Data Quality ScorecardDevelop a Data Quality Scorecard
Develop a Data Quality Scorecard
 
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...
 
A few metrics about Open Data in the cultural sector
A few metrics about Open Data in the cultural sectorA few metrics about Open Data in the cultural sector
A few metrics about Open Data in the cultural sector
 
Publishing Linked Open Data in 15 minutes
Publishing Linked Open Data in 15 minutesPublishing Linked Open Data in 15 minutes
Publishing Linked Open Data in 15 minutes
 
Quality Metrics for Linked Open Data
Quality Metrics for Linked Open Data Quality Metrics for Linked Open Data
Quality Metrics for Linked Open Data
 
Introduction to open data quality et
Introduction to open data quality etIntroduction to open data quality et
Introduction to open data quality et
 
An introduction to Linked (Open) Data
An introduction to Linked (Open) DataAn introduction to Linked (Open) Data
An introduction to Linked (Open) Data
 
Crowdsourcing Linked Data Quality Assessment
Crowdsourcing Linked Data Quality AssessmentCrowdsourcing Linked Data Quality Assessment
Crowdsourcing Linked Data Quality Assessment
 
Open data quality
Open data qualityOpen data quality
Open data quality
 
Overview of Open Data, Linked Data and Web Science
Overview of Open Data, Linked Data and Web ScienceOverview of Open Data, Linked Data and Web Science
Overview of Open Data, Linked Data and Web Science
 
Populating a Data Quality Scorecard with Relevant Metrics (Whitepaper)
Populating a Data Quality Scorecard with Relevant Metrics (Whitepaper)Populating a Data Quality Scorecard with Relevant Metrics (Whitepaper)
Populating a Data Quality Scorecard with Relevant Metrics (Whitepaper)
 
Linked Open Data Principles, Technologies and Examples
Linked Open Data Principles, Technologies and ExamplesLinked Open Data Principles, Technologies and Examples
Linked Open Data Principles, Technologies and Examples
 
Evaluating the possibilities of DataCite for developing 'Open data metrics' o...
Evaluating the possibilities of DataCite for developing 'Open data metrics' o...Evaluating the possibilities of DataCite for developing 'Open data metrics' o...
Evaluating the possibilities of DataCite for developing 'Open data metrics' o...
 
Llinked open data training for EU institutions
Llinked open data training for EU institutionsLlinked open data training for EU institutions
Llinked open data training for EU institutions
 

Similar to Asug Gov Sig Data Quality Metrics Report Sapphire 2008

What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysWhat is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysNEWYORKSYS-IT SOLUTIONS
 
3._DWH_Architecture__Components.ppt
3._DWH_Architecture__Components.ppt3._DWH_Architecture__Components.ppt
3._DWH_Architecture__Components.pptBsMath3rdsem
 
BI Masterclass slides (Reference Architecture v3)
BI Masterclass slides (Reference Architecture v3)BI Masterclass slides (Reference Architecture v3)
BI Masterclass slides (Reference Architecture v3)Syaifuddin Ismail
 
SCM CRP ERP Decision Support
SCM CRP ERP Decision SupportSCM CRP ERP Decision Support
SCM CRP ERP Decision Supportankit_sharma869
 
Spending Anlaysis
Spending AnlaysisSpending Anlaysis
Spending Anlaysismubarak2009
 
Datawarehouse Overview
Datawarehouse OverviewDatawarehouse Overview
Datawarehouse Overviewashok kumar
 
Overview of business intelligence
Overview of business intelligenceOverview of business intelligence
Overview of business intelligenceAhsan Kabir
 
IRJET- Testing Improvement in Business Intelligence Area
IRJET- Testing Improvement in Business Intelligence AreaIRJET- Testing Improvement in Business Intelligence Area
IRJET- Testing Improvement in Business Intelligence AreaIRJET Journal
 
Fei It Alignement With With Business V2
Fei It Alignement With With Business V2Fei It Alignement With With Business V2
Fei It Alignement With With Business V2Dr.Adel Ghannam
 
Data Collection Process And Integrity
Data Collection Process And IntegrityData Collection Process And Integrity
Data Collection Process And IntegrityGerrit Klaschke, CSM
 
Data warehouse 101-fundamentals-
Data warehouse 101-fundamentals-Data warehouse 101-fundamentals-
Data warehouse 101-fundamentals-AshishGuleria
 
Innovative Data Leveraging for Procurement Analytics
Innovative Data Leveraging for Procurement AnalyticsInnovative Data Leveraging for Procurement Analytics
Innovative Data Leveraging for Procurement AnalyticsTejari
 
Data quality and bi
Data quality and biData quality and bi
Data quality and bijeffd00
 
Npi with bpm webinar
Npi with bpm webinarNpi with bpm webinar
Npi with bpm webinarAisurya Puhan
 
Fusion Applications - PIM Deep Dive
Fusion Applications - PIM Deep DiveFusion Applications - PIM Deep Dive
Fusion Applications - PIM Deep DiveNachiketa Sharma
 
Sears mdm lunch and learn attribute section final
Sears mdm lunch and learn attribute section finalSears mdm lunch and learn attribute section final
Sears mdm lunch and learn attribute section finalMarco Arratia
 
Mi0036 business intelligence & tools...
Mi0036 business intelligence & tools...Mi0036 business intelligence & tools...
Mi0036 business intelligence & tools...smumbahelp
 

Similar to Asug Gov Sig Data Quality Metrics Report Sapphire 2008 (20)

What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysWhat is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
 
3._DWH_Architecture__Components.ppt
3._DWH_Architecture__Components.ppt3._DWH_Architecture__Components.ppt
3._DWH_Architecture__Components.ppt
 
BI Masterclass slides (Reference Architecture v3)
BI Masterclass slides (Reference Architecture v3)BI Masterclass slides (Reference Architecture v3)
BI Masterclass slides (Reference Architecture v3)
 
SCM CRP ERP Decision Support
SCM CRP ERP Decision SupportSCM CRP ERP Decision Support
SCM CRP ERP Decision Support
 
Spending Anlaysis
Spending AnlaysisSpending Anlaysis
Spending Anlaysis
 
CET DQ Tool Selection - Executive
CET DQ Tool Selection - ExecutiveCET DQ Tool Selection - Executive
CET DQ Tool Selection - Executive
 
Datawarehouse Overview
Datawarehouse OverviewDatawarehouse Overview
Datawarehouse Overview
 
Overview of business intelligence
Overview of business intelligenceOverview of business intelligence
Overview of business intelligence
 
Planning Data Warehouse
Planning Data WarehousePlanning Data Warehouse
Planning Data Warehouse
 
IRJET- Testing Improvement in Business Intelligence Area
IRJET- Testing Improvement in Business Intelligence AreaIRJET- Testing Improvement in Business Intelligence Area
IRJET- Testing Improvement in Business Intelligence Area
 
Chap02
Chap02Chap02
Chap02
 
Fei It Alignement With With Business V2
Fei It Alignement With With Business V2Fei It Alignement With With Business V2
Fei It Alignement With With Business V2
 
Data Collection Process And Integrity
Data Collection Process And IntegrityData Collection Process And Integrity
Data Collection Process And Integrity
 
Data warehouse 101-fundamentals-
Data warehouse 101-fundamentals-Data warehouse 101-fundamentals-
Data warehouse 101-fundamentals-
 
Innovative Data Leveraging for Procurement Analytics
Innovative Data Leveraging for Procurement AnalyticsInnovative Data Leveraging for Procurement Analytics
Innovative Data Leveraging for Procurement Analytics
 
Data quality and bi
Data quality and biData quality and bi
Data quality and bi
 
Npi with bpm webinar
Npi with bpm webinarNpi with bpm webinar
Npi with bpm webinar
 
Fusion Applications - PIM Deep Dive
Fusion Applications - PIM Deep DiveFusion Applications - PIM Deep Dive
Fusion Applications - PIM Deep Dive
 
Sears mdm lunch and learn attribute section final
Sears mdm lunch and learn attribute section finalSears mdm lunch and learn attribute section final
Sears mdm lunch and learn attribute section final
 
Mi0036 business intelligence & tools...
Mi0036 business intelligence & tools...Mi0036 business intelligence & tools...
Mi0036 business intelligence & tools...
 

Recently uploaded

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
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 MenDelhi Call girls
 
[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.pdfhans926745
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
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.pdfUK Journal
 
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 Scriptwesley chun
 
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...Neo4j
 
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.pdfsudhanshuwaghmare1
 
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...Miguel Araújo
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
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 MenDelhi Call girls
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
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 interpreternaman860154
 
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.pdfEnterprise Knowledge
 

Recently uploaded (20)

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
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
 
[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
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
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
 
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
 
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...
 
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
 
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...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
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
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
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
 
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
 

Asug Gov Sig Data Quality Metrics Report Sapphire 2008

  • 1. Data Quality Metrics Taxonomy Thomas Fish – Air Products and Chemicals Richard King - barenakeData Nancy Northrup – Honeywell Carolyn Pickton – Leprino Foods Jan Slaby – Bayer Material Science
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. Taxonomy basics – 12 level 0 Categories Four in scope Customer Materials Vendor Employee Reference Organizational Transportation Project Plant Maintenance EH&S Finance Operations
  • 9. Taxonomy basics Four in scope Customer Materials Vendor Operations 3 12 Level 2 Level 1 Level 0 6 16 6 16 5 35
  • 10.
  • 11.
  • 12. Key Learning – Different maturities ~50% of companies interviewed had no regularly measured metrics
  • 13. Key Learning –Focus is on basic master data 2.1 Material Master (MM03) 2.2 Production/Planning-related data (excludes MRP 1-4, Work Scheduling Views in Matl Master) 2.3 Quality-related data (excludes QM view in Matl Master) 2.4 Sourcing/Procurement-related data (excludes Purchasing Views in Matl Master) 2.5 Sales-related Data (excludes Sales Org 1-2, Sales General Plant Views in Matl Master)
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.