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3 data trends that will drive the future of healthcare

Tableau

The past few years have been ones of radical change in the healthcare industry. The pandemic accelerated the transformation to digital, and it made everyone take a closer look at how to use data to make that transition faster and easier, but also to find new ways to improve outcomes. Molly Brown. Executive Content Manager, Tableau.

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3 data trends that will drive the future of healthcare

Tableau

The past few years have been ones of radical change in the healthcare industry. The pandemic accelerated the transformation to digital, and it made everyone take a closer look at how to use data to make that transition faster and easier, but also to find new ways to improve outcomes. Molly Brown. Executive Content Manager, Tableau.

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A Guide for Healthcare Data Interoperability

Astera

The critical importance of healthcare data interoperability cannot be stressed enough. Without healthcare interoperability, healthcare providers may not have access to a patient’s complete medical history, leading to inaccurate diagnoses. Therefore, healthcare interoperability standards were introduced.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

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Moving to the cloud? Choose cloud service providers wisely

Analysts Corner

As a result, you benefit from agility, scalability, and cost reduction. Among the downsides of a public cloud are limited customization and a higher risk of a data breach since public clouds are available to anyone. The type of data dictates your choice of a cloud hosting service provider and its features.

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How AI Is Transforming the Future of Business Intelligence and Analytics 

Astera

AI-Generated Synthetic Data S ynthetic data is artificially generated data statistically similar to real-world information. With businesses increasingly utilizing business intelligence, leveraging synthetic data can help overcome data access challenges and privacy concerns.

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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

With a combination of text, symbols, and diagrams, data modeling offers visualization of how data is captured, stored, and utilized within a business. It serves as a strategic exercise in understanding and clarifying the business’s data requirements, providing a blueprint for managing data from collection to application.