Healthcare runs on data, whether it is insurance claims, eligibility checks, or payment details. All of this crucial data needs to move quickly and securely between providers, insurers, and third parties.   However, without standardized processes, managing all these streams of…

AI is rapidly gaining traction across all facets of business operations, and data management—especially data extraction and processing—is no exception. As a result, organizations are investing in AI-powered document processing solutions to automatically ingest, extract, and analyze data from diverse…

PostgreSQL APIs let applications interact with Postgres databases, perform CRUD (Create, Read, Update, Delete) operations, and manage database schemas. Keep reading to learn more about how APIs help you maximize your databases.  Understanding PostgreSQL APIs  The term’ PostgreSQL API’ can…

Insurers’ success has always hinged on their ability to analyze data effectively to price and underwrite policies accurately. While this analytical capability remains essential, outdated legacy systems hinder insurers from competing in a rapidly changing market.  According to McKinsey, modernizing…

Data extraction and data mining are two distinct processes that contribute uniquely to how an organization manages and uses data. This blog takes an in-depth look at the data extraction vs. data mining comparison, discussing the use cases, applications, and…