Download - Enterprise Data World Webinars: Data Quality for Data Modelers

Copyright 2014 by EPI-USE Data Services

October 2014

Data Quality for Data ModellersSue Geuens CDMP, MDQM


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


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


Interface Examples


What does Dilbert say?


Data Model Examples


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


What is your Data Quality Maturity Rating?


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

Download - Enterprise Data World Webinars: Data Quality for Data Modelers

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