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Scaling Data Access Governance

Dataversity

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].

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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

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What is Business Intelligence Consulting

BizAcuity

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. To ensure minimum latency, efficient data management is key. What is Business Intelligence?

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What is Business Intelligence Consulting

BizAcuity

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. To ensure minimum latency, efficient data management is key. What is Business Intelligence?

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Data Integrity, the Basis for Reliable Insights

Sisense

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

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An Introduction to Active Data Governance

Astera

Previously, data governance processes focused on rigid procedures and strict controls over data assets. Active data governance is essential to ensure quality and accessibility when managing large volumes of data. Here’s a breakdown of its key components: Data Quality: Ensuring that data is complete and reliable.

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5 Best Practices for Big Data Integration 

Astera

By following these five best practices businesses can successfully integrate their data, improve efficiency, and gain valuable insights into their operations. Ensure Data Quality Management One of the most critical aspects of big data integration is ensuring that the data being integrated is of high quality.