Nowadays get Quality data Successful data management is easier and harder than ever. If on the one hand new technologies Offer innovative solutions, Truly effective and complete, Besides, reality also became more complex with the emergence of cloud computing and Big Data, imposing a revolutionary new paradigm that inevitably influences the timing of data quality initiatives. .
These complicated challenges faced by institutions working with oceans of data, which, even handling smaller quantities, They also require quality, require a Constant learning, and the books on data quality They can help us find solutions from very different approaches.
Not surprisingly, data is an essential key in business intelligence., And only when they are reliable can they be transformed into a competitive advantage that helps the proper functioning of the company. According to Gartner, to 2017, the 33 percent of Fortune companies 100, compiled by Fortune magazine, which includes the 100 Largest companies in the United States, experience information crises due to the unreliability of their data and the consequent inability to manage it. .
Whether we need to improve the reliability of the data or if we seek to enter or deepen the subject, the 5 books on data quality that we propose can be of great help.
1. “Data quality assessment”, by Arkady Maydanchik.
From a global perspective, The book “Data quality assessment” provides theoretical knowledge complemented by practical examples. In it we will find a myriad of practical ideas for carrying out the evaluation of data quality, clearly described and detailed.
Easy to read, addresses the task of examining data quality rigorously and accurately, from analyzing data quality errors, correct them and know how to prevent them efficiently until identifying and implementing data profiling techniques and, as an example, Create data quality rules.
2. The data asset, Tony Fisher.
The work “The data asset” Guides in the development of the methodologies essential for effective quality and data management, treated as a fundamental strategic asset in decision-making. It offers the essential tools to develop methodologies and processes that help improve your treatment.
3. Data quality: The dimension of precision, Jack E. Olson.
Jack Olson makes an entertaining introduction, Peppered with real anecdotes, on the relevance of corporate data accuracy in “Data quality: Precision dimension”, But the highlight of the book is its treatment of data profiles and its review of the different analytical instruments suitable to examine their quality and maximize their usefulness..
4. Development of high-quality data models, Mathew West.
The book “Development of high-quality data models” is a useful guide to data modeling that is ideal for learning how to develop high-quality data models of complex databases and how to troubleshoot them.. Even though it covers the basics of data model types and their applications, The book is very technical, so it will be very useful for IT professionals.
5. The Professional's Guide to Data Quality Improvement, David Loshin.
The guide “The Professional's Guide to Data Quality Improvement” It is practice-oriented, in order to facilitate the improvement of data quality and its administration based on a work plan that responds to specific needs.
Loshin offers a comprehensive view of data quality, that encompasses people, Processes and technology as items involved in any data quality improvement procedure. From your experience in data management, The author advises how to determine and execute, Step by Step, A Data Quality Initiative.
Related Post:
Image source: jscreatinzs / FreeDigitalPhotos.net
(function(d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s); js.id = id;
js.src = “//connect.facebook.net/es_ES/all.js#xfbml=1&status=0”;
fjs.parentNode.insertBefore(js, fjs);
}(document, ‘script’, 'facebook-jssdk'));
