CDO Matters Podcast

CDO Matters Ep. 47 | Practical Data Quality

Apr 4, 2024

Robert Hawker discusses practical data quality in a strategic and value-driven approach, highlighting its importance for data leaders in overcoming challenges. The conversation covers aligning data strategy with MDM initiatives, justifying investments in data quality, and leveraging AI to streamline rule codification.

45:27

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Episode guests

Robert Hawker

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Quick takeaways

Data quality is crucial for AI and digital transformation, with a focus on tangible business benefits.

Initiating small data quality initiatives can lead to quick wins and build credibility within organizations.

Deep dives

Practical Data Quality: Real-Life Examples and Business Impact

Practical data quality is crucial for organizations to truly understand their data. Robert Hawker, in his book on practical data quality, emphasizes the importance of incorporating real-life examples to make concepts tangible and applicable for data leaders. By providing templates and reports from past experiences, the book aims to make data quality concepts practical and actionable. The focus is on delivering tangible results that can be linked to business success.

Efficiently Evaluating Data Quality Business Cases

01:21

Academic Undertakings in Data Quality Discussions

01:28

Introduction

2min

Exploring the Significance of Data Quality for Data Leaders

2min

Exploring the Origins of the Surname 'Hawker'

2min

Practical Data Quality in Data Management

26min

Data Strategy Alignment and MDM Implementation

9min

Practical Approach to Data Quality and AI Benefits

6min

Episode Overview

In this episode of the CDO Matters Podcast, Robert Hawker (no relation – at least none that we’re aware of!) joins for a discussion on Practical Data Quality – which is all a programmatic approach to data quality that focuses on business benefits, quick wins, and the highest priority challenges.

Data quality issues are a major hindrance to the AI and digital transformation aspirations of most companies, so having a roadmap to resolve those issues is a strategic imperative for all data leaders. Please join Malcolm and Robert as they discuss a practical, value-driven approach to overcoming the perils of low-quality data.