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© Copyright 2016 TopQuadrant Inc. Slide 1
Customer Needs for Data Quality
Irene Polikoff, CEO
Ralph Hodgson, CTO
TopQuadrant
© Copyright 2016 TopQuadrant Inc. Slide 2
TopBraid Enterprise Solutions Your Enterprise
Solutions
Customize/C
onfigure
Your Own
Solutions and Platform
IDE
TopBraid Platform Solution Engine
Search / Content Enrichment
through the use of Taxonomies
and Ontologies
Data Governance: Reference Data
Management/Metadata Management/
Data Lineage
Data Layer
© Copyright 2016 TopQuadrant Inc. Slide 4
What is Data Quality
 The five C’s:
– Consistency
– Completeness
– Correctness
– Conformance
– Comprehensibility
 Plus
– Precision
– Temporality
© Copyright 2016 TopQuadrant Inc. Slide 5
Examples of where TopQuadrant has
met the needs for Data Quality
 Consumer Products
– Clearance in different markets
 Production Reporting
– Oil & Gas
 Asset Management
– V-CON project
 Regulatory Compliance
– Finance Sector
© Copyright 2016 TopQuadrant Inc. Slide 6
Common Issues with ‘self created’
RDF Data
 Careless URIs e.g., skos:label
 Incorrect use of predicates e.g, skos:broader
with a text value
 Missing rdf:type statements
 Inconsistent literals e.g., text versus integer
 Mal-formed strings
 Conflated values
 Inconsistent Units of Measure
© Copyright 2016 TopQuadrant Inc. Slide 7
After initial load, data quality is about
enforcing “required practices”
 Each organization will have its own
 Common themes are:
– Requiring some fields
– Capitalizing names
– Enforcing certain patterns (what characters are
allowed)
– Enforcing “permissible” values
– Complex rules with dependencies between fields
– Totally “closed world”
© Copyright 2016 TopQuadrant Inc. Slide 8
Quality-enabling tool support
 Form generation based on:
– class definition
– SHACL constraints
 Auto-completion of entries
 Cardinality enforcement
 Data types enforcement
– SHACL + QUDT
© Copyright 2016 TopQuadrant Inc. Slide 9
As an example – definition of a class
© Copyright 2016 TopQuadrant Inc. Slide 10
As an example – resulting
‘instance’ form
© Copyright 2016 TopQuadrant Inc. Slide 11
In some cases, enforcement is “soft”
Data Validation happens in real time,
but also “after the fact”
For information governed by EDG e.g., reference data, glossary terms, etc.
It is an ongoing process summarized
in dashboards and metrics
© Copyright 2016 TopQuadrant Inc. Slide 14
We have been transitioning to using SHACL
for class definitions and UI customizations
• Users can now create not only classes and properties, but also
SHACL constraints
Ask
Thank You
Ralph Hodgson
E-mail: rhodgson@topquadrant.com
Twitter: @ralphtq, @topquadrant
Irene Polikoff
E-mail: irene@topquadrant.com

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Customer needs for Data quality by Irene Polikoff

  • 1. © Copyright 2016 TopQuadrant Inc. Slide 1 Customer Needs for Data Quality Irene Polikoff, CEO Ralph Hodgson, CTO TopQuadrant
  • 2. © Copyright 2016 TopQuadrant Inc. Slide 2 TopBraid Enterprise Solutions Your Enterprise Solutions Customize/C onfigure Your Own Solutions and Platform IDE TopBraid Platform Solution Engine Search / Content Enrichment through the use of Taxonomies and Ontologies Data Governance: Reference Data Management/Metadata Management/ Data Lineage Data Layer
  • 3.
  • 4. © Copyright 2016 TopQuadrant Inc. Slide 4 What is Data Quality  The five C’s: – Consistency – Completeness – Correctness – Conformance – Comprehensibility  Plus – Precision – Temporality
  • 5. © Copyright 2016 TopQuadrant Inc. Slide 5 Examples of where TopQuadrant has met the needs for Data Quality  Consumer Products – Clearance in different markets  Production Reporting – Oil & Gas  Asset Management – V-CON project  Regulatory Compliance – Finance Sector
  • 6. © Copyright 2016 TopQuadrant Inc. Slide 6 Common Issues with ‘self created’ RDF Data  Careless URIs e.g., skos:label  Incorrect use of predicates e.g, skos:broader with a text value  Missing rdf:type statements  Inconsistent literals e.g., text versus integer  Mal-formed strings  Conflated values  Inconsistent Units of Measure
  • 7. © Copyright 2016 TopQuadrant Inc. Slide 7 After initial load, data quality is about enforcing “required practices”  Each organization will have its own  Common themes are: – Requiring some fields – Capitalizing names – Enforcing certain patterns (what characters are allowed) – Enforcing “permissible” values – Complex rules with dependencies between fields – Totally “closed world”
  • 8. © Copyright 2016 TopQuadrant Inc. Slide 8 Quality-enabling tool support  Form generation based on: – class definition – SHACL constraints  Auto-completion of entries  Cardinality enforcement  Data types enforcement – SHACL + QUDT
  • 9. © Copyright 2016 TopQuadrant Inc. Slide 9 As an example – definition of a class
  • 10. © Copyright 2016 TopQuadrant Inc. Slide 10 As an example – resulting ‘instance’ form
  • 11. © Copyright 2016 TopQuadrant Inc. Slide 11 In some cases, enforcement is “soft”
  • 12. Data Validation happens in real time, but also “after the fact” For information governed by EDG e.g., reference data, glossary terms, etc.
  • 13. It is an ongoing process summarized in dashboards and metrics
  • 14. © Copyright 2016 TopQuadrant Inc. Slide 14 We have been transitioning to using SHACL for class definitions and UI customizations • Users can now create not only classes and properties, but also SHACL constraints
  • 15. Ask Thank You Ralph Hodgson E-mail: rhodgson@topquadrant.com Twitter: @ralphtq, @topquadrant Irene Polikoff E-mail: irene@topquadrant.com

Hinweis der Redaktion

  1. Data governance is increasingly diverse in its scope. Are your tools up to the job? Do they provide flexibility to seamlessly modify and extend what governance has to address and the types of assets being governed? In this short presentation we showcase TopBraid Enterprise Data Governance (EDG). As a modular, extendable solution, it provides a model-driven approach to integrated governance over multiple types of assets, including business glossaries, reference data, crosswalks, ontologies, taxonomies, data, policy and lineage models and other business, technical and operational metadata. Governance of "linked assets" enables capabilities that make data "meaningful". We will show how TopBraid EDG delivers: Governed specification of Data Elements Visibility into how data is produced and consumed in support of business capabilities Comprehensive traceability from glossaries to data elements to their usage Highly customizable and extendable standards-based information models Automated notification of changes to RACI roles Extensive reporting and querying capabilities through generated REST services Agile responsiveness to new governance requirements such as regulatory compliance   Using standards-based graph technologies, TopBraid EDG supports governance across the ever growing numbers and types of assets and governance requirements.