{"product_id":"data-quality-techniques-strategies-for-continuous-data-improvement-paperback","title":"Data Quality Techniques: Strategies for Continuous Data Improvement - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDaniel Myers\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEquip yourself with proven techniques to turn poor-quality data from a costly liability into a measurable advantage. \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003ci\u003eData Quality Techniques\u003c\/i\u003e\u003c\/b\u003e is a hands-on guide for mid-career data professionals who need to transform data into a reliable, strategic asset. Designed around the Conformed Dimensions of Data Quality framework, this book shows how to define and measure data quality and communicate expectations in ways that drive real business impact. \u003cp\u003e\u003c\/p\u003eWith clear definitions and actionable tools, you'll learn how to: \u003cbr\u003e- Improve data consistency and accuracy\u003cbr\u003e- Uncover hidden data quality issues\u003cbr\u003e- Apply data governance principles to data quality projects\u003cbr\u003e- Anticipate the role of AI in shaping the future of data quality \u003cp\u003e\u003c\/p\u003ePacked with worked examples, \u003cb\u003e\u003ci\u003eData Quality Techniques\u003c\/i\u003e\u003c\/b\u003e gives you the frameworks and tools to improve your data so that it supports growth, compliance and smarter decision making. \u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003ci\u003eThemes include\u003c\/i\u003e\u003c\/b\u003e: \u003ci\u003edata quality management, data governance, data consistency, AI in data, data profiling, data strategy, data management techniques\u003c\/i\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eDan Myers\u003c\/b\u003e is an experienced data management leader and the Principal of DQMatters. His work focuses on helping large enterprises develop successful data quality initiatives and he has worked with many organizations including Farmers Insurance, Rio Tinto, Apple, and Google. His data quality framework, the Conformed Dimensions of Data Quality, has been adopted by numerous organizations. He is the former president of the International Association for Information and Data Quality and is based in San Jose, CA.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 432\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.88 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 28, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48757333754105,"sku":"9781398628007","price":70.36,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/18ibdUrpVJ9781398628007.webp?v=1785946339","url":"https:\/\/bookscloud.io\/products\/data-quality-techniques-strategies-for-continuous-data-improvement-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}