Keeping up with the latest data quality best practices, trends and news can be a difficult prospect. After all,...
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you’re a busy IT professional with lots of things to do. And besides that, it’s tough to give data quality a high priority when -- according to surveys -- most company executives fail to realize its true value.
But SearchDataManagement.com believes that business user attitudes towards data quality are slowly changing and that it’s important to stay up to date with the latest data quality trends. That’s why we created this handy special report. It’s a one-stop shop for the latest on data quality. Each article in this special report contains practical data quality best practices, tips, advice and other information that will help you improve levels of data quality and, if necessary, pick the right data quality software vendor for your organization.
Table of Contents:
The best way to get executive buy-in for data quality is to think like an executive
Fight data quality problems with non-IT business people
Get best practices for improving levels of product data quality
Find out how Gartner ranks the major data quality tool vendors
So you’re looking for executive support and financial backing for a new data quality software project. Good luck with that. Executives today don’t exactly have a reputation for supporting data quality projects without a fight.
But Richard Ordowich, a data management consultant and former vice president of product development at Dow Jones Inc., has a great tip for anyone looking for the money to back a data quality project: Start thinking like a senior-level executive and find it yourself. It’s a process that requires a little politicking. But having a plan to fund the initiative will go a long way towards getting the project approved.
The job of managing and improving data quality is usually seen as something the IT department does. But, increasingly, rank-and-file business users -- the people who create the data -- are being called upon to take responsibility for data quality.
We talked to information management expert Danette McGilvray, president of Granite Falls Consulting Inc. and the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, to get some best practices for getting business people more involved in the data quality process.
Poor product data quality can be a real pain in the neck. Some companies have thousands upon thousands of products to keep track of, and little data quality mistakes can have widespread ramifications. In this article, we talked to technology professionals and IT industry analysts to get some real-life tips and data quality best practices for improving the reliability of product information.
According to industry experts, 20% to 30% of product files contain mistakes which can cost organizations money. Fixing this problem can be a time consuming and expensive process, but experts add that, in the end, it’s worth the investment.
Stamford, Conn.-based Gartner Research Inc. recently released its annual ranking of data quality tools vendors. This year DataFlux took the top spot. But this article discusses more than just what the data quality vendors are doing right. It also discusses areas where they could improve, allowing potential data quality customers to know the pros and cons of some popular data quality vendors. The Gartner Magic Quadrant serves as a handy buying guide for anyone interested in data quality software.