Data quality assessment overview
Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them.
Data Management
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Latest Articles for Data Management
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Image: stnazkul/Adobe Stock Big Data Syniti announces Syniti Match release for efficient, AI-driven data matching
Syniti has announced Syniti Match, a rapid, precise and comprehensive solution for data matching. Learn more here.
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Image: Mykola/Adobe Stock Big Data Data quality in healthcare: Current problems and possible solutions
This article gives a detailed introduction to data quality and the current status it has in healthcare.
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Image: garrykillian/Adobe Stock Big Data A guide to the 10 most common data modeling mistakes
Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity.
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Image: NicoElNino/Adobe Stock Big Data Helpful strategies for improving data quality in data lakes
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.
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Image: wladimir1804/Adobe Stock Big Data Data integration trends to watch in 2022
Discover the top trends for data integration in 2022, including data accessibility, integration tools and process improvement.
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Image: Looker_Studio/Adobe Stock Big Data Microsoft Data Quality Services (DQS) review
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.
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Image: iStock/Nongkran_ch Big Data 3 steps for better data modeling with IT, data scientists and business analysts
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.
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Figure A: Jotform is on the left, and Google Forms is on the right. Software Jotform vs. Google Forms: Which is best for your needs?
Jack Wallen compares two heavy hitters in the form space, Jotform and Google Forms to discover which service is best suited for which users.
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Image: Molnia/Adobe Stock Big Data Data Ladder: Data quality solution review
Data Ladder performs data quality reviews as a service to ensure your data is clean, complete and accurate. Discover more now.
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Image: fizkes/Adobe Stock Big Data IBM Infosphere QualityStage review
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.
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Image: Dmitry/Adobe Stock Big Data An introduction to data quality management frameworks
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.
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Image: freshidea/Adobe Stock Big Data Data cleansing: A cheat sheet
Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data.
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Image: WrightStudio/Adobe Stock Big Data Data quality management: Roles & responsibilities
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?
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Image: bakhtiarzein/Adobe Stock Big Data Top data integration tools of 2022
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.