Data quality roles and responsibilities

Introduction to Data Quality

Chrissy Bloom

Head of Enterprise Data Strategy & Governance

Roles and responsibilities involved in data quality activities

roles triangle

Roles

  • Individuals who serve a specific data quality function
  • Often not a full time job
  • Identified by assessing everyone who interacts with data

Responsibilities

  • Functions and activities related to data quality that each role is responsible for
Introduction to Data Quality

Data Producers

Data Quality Role: Data Producer

Description: Individuals who create, collect, process, transform, or store data

Data Quality Responsibilities:

  • Implements data quality rules
  • Ensures remediation of data quality issues
  • Responsible for technical data quality rules

Examples: System and database owners, ETL developers, report writers and data scientists who create data

flow of data from producer to consumer

Introduction to Data Quality

Data Consumers

Data Quality Role: Data Consumer

Description: Individuals or applications who use the data produced by data producers

Data Quality Responsibilities:

  • Advises on data quality rules to implement
  • Accountable for understanding quality of data before using it
  • Reports data quality issues

Examples: Report writers, data scientists, ETL developers, business managers, executives

flow of data from producer to consumer

Introduction to Data Quality

Both a producer and consumer

data flow

Introduction to Data Quality

Data Governance Team

data governance icons

Data Quality Role: Data Governance Team

Description: Team responsible for overall data quality oversight and governance

Data Quality Responsibilities:

  • Define and enforce data quality policies
  • Define data quality roles and responsibilities
  • Monitor data quality dashboards
  • Ensure appropriate data quality tools, processes, and training are available
Introduction to Data Quality

Data Quality Roles and Responsibilities Applied

data governance oversight of data producers and consumers

Scenario: Report writer identifies a data quality issue or determines a data quality rule is needed

  • Data Consumer (Report writer): Alerts data producer and recommends a data quality rule for implementation. Decides whether to use the data.
  • Data Producer (Source System Owner): Implements data quality rule and remediates the issue
  • Data Governance Team: Oversees the process. Makes a data quality dashboard available.
Introduction to Data Quality

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Introduction to Data Quality

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