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.
Data Management
You're on page 5, See the latest articles on Data Management.
Latest Articles for Data Management
-
Image: Mykola/Adobe Stock Big Data -
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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?
-
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.
-
Image: Tee11/Adobe Stock Big Data The different data model types and their uses
Most projects benefit from having a data model. This article gives an overview of the most common types.
-
Image: Gorodenkoff/Adobe Stock Big Data Top data modeling tools of 2022
Identify which data modeling tools are right for your business. Discover the top tools of 2022 now.
-
Image: Song_about_summer/Adobe Stock Big Data Top 10 benefits of data quality
Data quality refers to the accuracy, completeness and consistency of the information in an enterprise database. Discover the top 10 benefits of having data quality in your organization.
-
Image: peopleimages.com/Adobe Stock Big Data Informatica Data Quality review
The Informatica Data Quality solution is designed to meet the needs of organizations operating with globally distributed data environments. Discover more now.