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ANSI X12 vs EDIFACT: Key Differences

Astera

EDI transmits data almost instantaneously — serving as a fast and efficient mode for exchanging business documents. This blog will discuss the differences between X12 and EDIFACT and how a no-code EDI solution can help streamline your EDI processes. This flexibility allows for customization to avoid conflicts with data content.

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EDI Cost Savings: Transforming Data Management in Healthcare

Astera

Due to the growing volume of data and the necessity for real-time data exchange, effective management of data has grown increasingly important for businesses. As healthcare organizations are adapting to this change, Electronic Data Interchange (EDI) is emerging as a transformational solution.

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A Guide to Building Better Data Products

Juice Analytics

One of our clients has data on the learning activities of more than 60% of all healthcare workers. But before getting down to designing the data product, you'll want to get the right people in place. Part 2: Development If “ Data is the Bacon of Business ” (TM), then customer reporting is the Wendy’s Baconator.

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AI-Powered Data Extraction: Revolutionizing Business Intelligence 

Astera

An integral part of this process is data extraction, which involves collecting data from multiple sources and transforming it into a usable format. Traditionally, data extraction is performed manually, which involves hand-keying data from different sources and formats, such as spreadsheets, websites, and documents.

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Snowflake ETL Tools: Top 7 Options to Consider in 2024

Astera

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes. providing users with flexibility and extensibility in data processing.

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Best Data Mining Tools in 2024

Astera

Whether it’s choosing the right marketing strategy, pricing a product, or managing supply chains, data mining impacts businesses in various ways: Finance : Banks use predictive models to assess credit risk, detect fraudulent transactions, and optimize investment portfolios. These tools enhance financial stability and customer satisfaction.

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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. These PDFs may vary in format and layout.