DQI

(redirected from Data Quality Improvement)
AcronymDefinition
DQIData Quality Improvement (Federal Data Quality Guide)
DQIData Quality and Integrity (Deloitte Touche Tohmatsu; UK)
DQIData Quality Indicators
DQIDesign Quality Indicator (Construction Industry Council; UK)
DQIDesign Quorum, Inc. (Canada)
DQIDrug Quality and Information (US Pharmacopeia)
DQIDigital Quartz Inertial
DQIData Quality Index
DQIDéveloppement Qualité et Informatique (French: Data Quality and Development)
DQIData Qualifying Information
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References in periodicals archive ?
This is the function of data governance, which also sets guidelines for metadata management, drives processes for data issue resolution, and actively monitors and measures data quality improvement over time.
Data quality improvement is often a necessary precursor to expanded analytics.
Previously, Walsh has worked for 15 years with Care Communications Inc, a revenue cycle and healthcare data quality improvement company with expertise in health information management, including as senior vice president sales and marketing, and senior vice president, Business Development.
Different frameworks have been introduced for data quality management and data quality improvement. Some are rooted in quality management while others focus explicitly on data quality.
Data quality improvement plans (DQIPs) based on assessment findings are being implemented in both countries.
ISO and the Alaska Department of Labor and Workforce Development are collaborating to create an EDI Data Quality Improvement Program that will improve overall quality and usability of workers' compensation data among the state and its data reporters.
The course examines the aspects of ensuring data quality and recommend data quality improvement program in a data warehouse by utilizing mainly a revised process flow model (Chowdhury, 2007b).
The ILRR used a multi-phased approach for project delivery that focused on clearly defining the business requirements, developing a legislative framework, data quality improvement, implementation support, as well as, the technology solution and application build.
ABSTRACT: Data quality improvement is becoming an increasingly important issue.
This will reportedly result in a solution that can increase the quality of information accessible by a business while also enabling a number of data quality improvement initiatives.
The data quality improvement screens these often-irrelevant, outdated records, reducing the size, but not the scope of research reports.
Therefore, continuous data quality improvement is critical to ensure high-quality information products.