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Document Data Extraction 101: Understanding the Basics

Astera

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

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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)? Why is Enterprise Data Management Important?

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AI and Data Management: How Intelligent Systems are Changing the Game

Astera

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

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What Is Data Management and Why Is It Important?

Astera

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

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EDI Cost Savings: Transforming Data Management in Healthcare

Astera

This system promotes quick and precise transactions, thereby driving efficiency and cost-effectiveness in data management. In healthcare, managing vast amounts of data is an everyday task. Patient records, billing information, insurance details, and more all require efficient data management processes.

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The 10 Best Airbyte Alternatives In 2024

Astera

The data management and integration world is filled with various software for all types of use cases, team sizes, and budgets. It provides many features for data integration and ETL. While Airbyte is a reputable tool, it lacks certain key features, such as built-in transformations and good documentation.

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Overcoming Data Challenges in the Insurance Industry

Astera

But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties. In this blog, we’ll explore these common data management challenges faced by insurance companies.