Book Image

Practical Data Quality

By : Robert Hawker
Book Image

Practical Data Quality

By: Robert Hawker

Overview of this book

Poor data quality can lead to increased costs, hinder revenue growth, compromise decision-making, and introduce risk into organizations. This leads to employees, customers, and suppliers finding every interaction with the organization frustrating. Practical Data Quality provides a comprehensive view of managing data quality within your organization, covering everything from business cases through to embedding improvements that you make to the organization permanently. Each chapter explains a key element of data quality management, from linking strategy and data together to profiling and designing business rules which reveal bad data. The book outlines a suite of tried-and-tested reports that highlight bad data and allow you to develop a plan to make corrections. Throughout the book, you’ll work with real-world examples and utilize re-usable templates to accelerate your initiatives. By the end of this book, you’ll have gained a clear understanding of every stage of a data quality initiative and be able to drive tangible results for your organization at pace.
Table of Contents (16 chapters)
Part 1 – Getting Started
Part 2 – Understanding and Monitoring the Data That Matters
Part 3 – Improving Data Quality for the Long Term

Designing a high-level data quality dashboard

Every data quality initiative is different, and senior stakeholders at different organizations will have different needs. The example developed for this book is an amalgamation of various concepts successfully applied at different organizations. The figures in this section can be used as a starting point for discussions, but it is critical to get stakeholders involved in the design process.

This section explains the typical design of the various Data Quality Dashboards and reports. It should be possible to apply organizational differences to this typical approach to make it work for your organization.

Dimensions and filters

The high-level Data Quality Dashboard for the senior stakeholder is typically a simple data visualization aimed at showing a data quality summary for the following displayed dimensions:

  • Each process area
  • Each data object
  • Each business unit
  • Each region

The report is typically kept simple...