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The Best Data Management Tools For Small Businesses

Smart Data Collective

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

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Enterprise Data World 2024 Takeaways: Trending Topics in Data Management

Dataversity

Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event.

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Building a Strong Community for Women in Data Management and Governance

Dataversity

In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event.

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Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management

Dataversity

Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event.

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New in Tableau Catalog: Improved search and monitoring for data quality warnings

Tableau

Product Manager, Tableau Prep. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kristin Adderson. Until 2021.1,

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3 Huge Reasons that Data Integrity is Absolutely Essential

Smart Data Collective

As well as tracking the date and time of events, the author of any changes to the data you hold should be automatically logged. Ideally, this should be automated and happen at the moment an event or change occurs. In this way, you can ensure the security and accuracy of all of your business data. Secure your data.

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7 Data Quality Metrics to Assess Your Data Health

Astera

To do so, they need data quality metrics relevant to their specific needs. Organizations use data quality metrics, also called data quality measurement metrics, to assess the different aspects, or dimensions, of data quality within a data system and measure the data quality against predefined standards and requirements.