Data Quality - Simple Steps to Win, Insights and Opportunities for Maxing Out Success

Data Quality - Simple Steps to Win, Insights and Opportunities for Maxing Out Success
Author :
Publisher : Complete Publishing
Total Pages : 428
Release :
ISBN-10 : 148889843X
ISBN-13 : 9781488898433
Rating : 4/5 (3X Downloads)

Book Synopsis Data Quality - Simple Steps to Win, Insights and Opportunities for Maxing Out Success by : Gerard Blokdijk

Download or read book Data Quality - Simple Steps to Win, Insights and Opportunities for Maxing Out Success written by Gerard Blokdijk and published by Complete Publishing. This book was released on 2015-10-11 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The one-stop-source powering Data Quality success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead. Based on extensive research, this lays out the thinking of the most successful Data Quality knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for Data Quality innovation - INCLUDED are numerous real-world Data Quality blueprints, presentations and templates ready for you to access and use. Also, if you are looking for answers to one or more of these questions then THIS is the title for you: Why corporate culture is essential to data quality? What are data quality metrics? What is the future of data quality management? How do I measure data quality issues? What are some common techniques used by data scientists to ensure data quality/consistency? How can I measure data quality of business listings? What does a data quality analyst do? What are some creative ways people have enforced data quality and integrity within organizations? What aspects of Data Quality influence the impact on Business Value? Is there any workflow to improve Data quality? What are the best general map applications, in terms of data quality, search quality and usabity? What are the best ways for companies to target the data quality problem? Is data quality and integration important for a business? Why or why not? What magazines and blogs do you read to keep you current when it comes to Data Quality? What is your favorite data quality solution? How do I ensure data quality in crowd sourced data? ...and much more...


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