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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Management of all enterprise data, including master data.

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Keys to Data Fluency: Shared Understanding

Juice Analytics

Without arriving at shared definitions and terminology, your data discussion will get stuck in fruitless debates. Where to get started: There are many high-tech Master Data Management solutions… not the place to start. Link to it when you present data in a dashboard, report, or data story.

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The Top 7 Data Aggregation Tools in 2024

Astera

Pros: User-friendly interface for data preparation and analysis Wide range of data sources and connectors Flexible and customizable reporting and visualization options Scalable for large datasets Offers a variety of pre-built templates and tools for data analysis Cons: Some users have reported that Alteryx’s customer support is lacking.

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What Is Data Management and Why Is It Important?

Astera

Today, this means they should have the necessary resources and infrastructure to be able to deal with big data—large volumes of structured and unstructured data—efficiently. This also includes maintaining data quality while ensuring easy access to the needed data.

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Top 10 Analytics And Business Intelligence Trends For 2020

Data Pine

It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company.