Enterprise Data World Webinars: Data Quality for Data Modelers
-
Upload
dataversity -
Category
Technology
-
view
918 -
download
1
description
Transcript of Enterprise Data World Webinars: Data Quality for Data Modelers
![Page 1: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/1.jpg)
Copyright 2014 by EPI-USE Data Services
October 2014
Data Quality for Data ModellersSue Geuens CDMP, MDQM
![Page 2: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/2.jpg)
Copyright 2014 by EPI-USE Data Services
Data Quality Management is a critical support
process in organisational change management
Data Quality is synonymous with information
quality, since poor data quality results in
inaccurate information and poor business
performance
Data Quality is a LONG TERM
Program, not a SHORT TERM project
![Page 3: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/3.jpg)
Copyright 2014 by EPI-USE Data Services
Data Quality is … and isn’t …
• Supposed to improve your
data
• Required to ensure that reports
have appropriate output
• Needs to enable your
executives to make the correct
decisions
• Must be assessed before any
migration/ integration project
• DOCUMENTED
• A once off instance of
cleansing a piece of data
• Supposed to fix the errors
created by incorrect data
modelling
• Going to improve without
concerted effort
• GUNG HO effort that dies
![Page 4: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/4.jpg)
Copyright 2014 by EPI-USE Data Services
Interface Examples
![Page 5: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/5.jpg)
Copyright 2014 by EPI-USE Data Services
![Page 6: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/6.jpg)
Copyright 2014 by EPI-USE Data Services
![Page 7: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/7.jpg)
Copyright 2014 by EPI-USE Data Services
![Page 8: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/8.jpg)
Copyright 2014 by EPI-USE Data Services
What does Dilbert say?
![Page 9: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/9.jpg)
Copyright 2014 by EPI-USE Data Services
Data Model Examples
![Page 10: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/10.jpg)
Copyright 2014 by EPI-USE Data Services
![Page 11: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/11.jpg)
Copyright 2014 by EPI-USE Data Services
![Page 12: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/12.jpg)
Copyright 2014 by EPI-USE Data Services
![Page 13: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/13.jpg)
Copyright 2014 by EPI-USE Data Services
Reasons for No Quality in Models• Cost
• Timelines
• Access to Data
• Culture
• Metadata
• Over Optimistic on current model
• Measures
• Business Process does not require Quality
• Data Flows
• Not in Your Scope
![Page 14: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/14.jpg)
Copyright 2014 by EPI-USE Data Services
What is your Data Quality Maturity Rating?
![Page 15: Enterprise Data World Webinars: Data Quality for Data Modelers](https://reader036.fdocuments.us/reader036/viewer/2022081404/5594466e1a28ab02738b462d/html5/thumbnails/15.jpg)
Copyright 2014 by EPI-USE Data Services
Dimensions of Quality• Accuracy
Degree to which data correctly represents “real-life” entities
• Completeness Level of assigned data values that are required by business, system, application
• Consistency Applies to ensuring data sets across systems are consistent and/ or not in conflict
• Currency How “fresh” is the data compared to length of time last refreshed
• Precision Level of detail in the data element requiring specific accuracy
• Privacy Need for access control and usage monitoring
• Reasonableness Consider consistency expectations in systems and applications
• Referential Integrity Level to which data is related across database tables and columns
• Timeliness Availability of data for use and ease of accessibility
• Uniqueness The level to which the data entity is unique in the data set
• Validity Conformance to data element attributes, may be specific to database, system and/ or application
Permissable Purpose