Practical Data Quality: Learn practical, real-world strategies to transform the quality of data in your organization

Identify data quality issues, leverage real-world examples and templates to drive change, and unlock the benefits of improved data in processes and decision-making

Key Features:

• Get a practical explanation of data quality concepts and the imperative for change when data is poor
• Gain insights into linking business objectives and data to drive the right data quality priorities
• Explore the data quality lifecycle and accelerate improvement with the help of real-world examples
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

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.

What You Will Learn:

• Explore data quality and see how it fits within a data management programme
• Differentiate your organization from its peers through data quality improvement
• Create a business case and get support for your data quality initiative
• Find out how business strategy can be linked to processes, analytics, and data to derive only the most important data quality rules
• Monitor data through engaging, business-friendly data quality dashboards
• Integrate data quality into everyday business activities to help achieve goals
• Avoid common mistakes when implementing data quality practices

Who this book is for:

This book is for data analysts, data engineers, and chief data officers looking to understand data quality practices and their implementation in their organization. This book will also be helpful for business leaders who see data adversely affecting their success and data teams that want to optimize their data quality approach. No prior knowledge of data quality basics is required.

識別數據質量問題，利用現實世界的例子和模板推動改變，並解鎖改善數據在流程和決策中的好處

主要特點：

• 實用解釋數據質量概念和數據不良時變革的必要性


• 深入了解將業務目標和數據聯繫起來推動正確的數據質量優先事項


• 探索數據質量生命周期，並借助現實世界的例子加速改善


• 購買印刷版或Kindle書籍包括免費的PDF電子書

書籍描述：

數據質量不良可能導致成本增加，阻礙收入增長，影響決策，並給組織帶來風險。這導致員工、客戶和供應商對組織的每一次互動感到沮喪。

《實用數據質量》全面介紹了在組織內管理數據質量的方法，從業務案例到永久嵌入組織的改進措施。每一章都解釋了數據質量管理的關鍵要素，從將戰略和數據聯繫在一起到分析和設計揭示不良數據的業務規則。該書概述了一套經過驗證的報告，突出顯示不良數據，並允許您制定修正計劃。在整本書中，您將使用現實世界的例子並利用可重複使用的模板來加速您的計劃。

通過閱讀本書，您將清楚了解數據質量計劃的每個階段，並能夠以快速的速度為組織帶來實質成果。

您將學到什麼：

• 探索數據質量，並了解其在數據管理計劃中的位置


• 通過數據質量改進使您的組織與同行有所不同


• 創建業務案例，獲得對數據質量計劃的支持


• 了解如何將業務戰略與流程、分析和數據聯繫起來，以得出最重要的數據質量規則


• 通過引人入勝且適合業務的數據質量儀表板監控數據


• 將數據質量融入日常業務活動，以幫助實現目標


• 在實施數據質量實踐時避免常見錯誤

本書適合對象：

本書適合數據分析師、數據工程師和首席數據官，他們希望了解數據質量實踐及其在組織中的實施。本書還對於認識到數據對其成功產生不良影響的業務領導者以及希望優化數據質量方法的數據團隊也很有幫助。不需要事先了解數據質量基礎知識。