
Data quality assessment overview
Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them.
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Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them.
Syniti has announced Syniti Match, a rapid, precise and comprehensive solution for data matching. Learn more here.
This article gives a detailed introduction to data quality and the current status it has in healthcare.
Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity.
Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows.
Discover the top trends for data integration in 2022, including data accessibility, integration tools and process improvement.
Microsoft Data Quality Services (DQS) enables you to automatically clean and standardize your organization's data to improve business intelligence (BI) performance. Learn more about DQS now.
Business analysts need to be involved in the process to make it less stressful for everyone, and IT and data science need to make the tech more clear.
Jack Wallen compares two heavy hitters in the form space, Jotform and Google Forms to discover which service is best suited for which users.
Data Ladder performs data quality reviews as a service to ensure your data is clean, complete and accurate. Discover more now.
IBM InfoSphere QualityStage provides tools to manage the quality of your information throughout the data lifecycle and improve your business processes. Read more about this solution now.
Data quality management is important for enterprise data accuracy and integrity. These frameworks can help you identify and fix problems before they impact your business.
Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data.
DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM?
This data integration tools list features some of the best-known and most powerful applications. Learn more about the top data integration tools of 2022 now.