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Managing Data Quality in Healthcare

Astera

This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a challenge. Duplicate data can lead to a waste of resources and negatively impact the quality of care.

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Now available in Tableau 2021.1—Einstein Discovery in Tableau, quick LODs, a new unified notification experience, and more

Tableau

To learn more, read our updated Tableau Server on Microsoft Azure whitepaper for guidance and best practices. First, we’ve added automated data quality warnings (DQW) , which are automatically created when an extract refresh or Tableau Prep flow run fails. Enjoy expanded spatial support.

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Practical Tips to Tackle Data Quality Issues During Cloud Migration

Astera

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. It provides a strategic framework to manage enterprise data with the highest standards of data quality , security, and accessibility.

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Data Profiling: Types, Techniques and Best Practices

Astera

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

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Now available in Tableau 2021.1—Einstein Discovery in Tableau, quick LODs, a new unified notification experience, and more

Tableau

To learn more, read our updated Tableau Server on Microsoft Azure whitepaper for guidance and best practices. First, we’ve added automated data quality warnings (DQW) , which are automatically created when an extract refresh or Tableau Prep flow run fails. Enjoy expanded spatial support. Thank you, Tableau Community!

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5 Best Practices for Big Data Integration 

Astera

Improved Business Insights: By combining data from multiple sources, businesses can gain deeper insights into their operations, enabling them to identify trends, opportunities, and potential risks. Interested in Learning More About Cloud Data Integration? It provides a unified view of data and enables informed decision-making.