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Activity

Data quality assessment

Evaluate and improve the quality of data used for decision making

Conduct a thorough assessment of your data quality and implement processes to ensure ongoing data reliability and accuracy.

80 minutes
analysis

Overview

Conduct a thorough assessment of your data quality and implement processes to ensure ongoing data reliability and accuracy.

Learning objectives

  • Audit existing data sources
  • Identify quality issues and gaps
  • Implement data validation rules
  • Create quality monitoring processes

Instructions

Assess and improve the quality of data your team relies on for decisions.

Steps

1

Inventory sources

20 minutes

Inventory all data sources

2

Define criteria

15 minutes

Define quality dimensions and criteria

3

Conduct assessment

25 minutes

Conduct quality assessment

4

Create action plan

15 minutes

Create improvement action plan

5

Implement monitoring

5 minutes

Implement monitoring and alerts

Pro tips

  • •Focus on data that drives key decisions
  • •Consider completeness, accuracy, and timeliness
  • •Involve data producers and consumers
  • •Automate quality checks where possible

Example outcome

A comprehensive data quality framework with automated monitoring, clear ownership, and continuous improvement processes.

Explore more resources

Check out the full stdlib collection for more frameworks, templates, and guides to accelerate your technical leadership journey.