Dataversity
APRIL 26, 2022
In today’s fast-paced business world, one of the best ways for a modern enterprise to optimize processes is to rethink how to manage data. Business documents contain vital information for companies, irrespective of their size and industry.
Astera
APRIL 3, 2023
Data entry in healthcare is extremely common for one major reason: the number of documents – patient information, medical records, insurance forms, billing forms, lab reports, prescriptions, consent forms, medical charts, and that’s just the beginning. To contrast this number, manual data entry can have accuracy as low as 75%.
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Astera
MAY 9, 2023
Data processing involves transforming raw data into valuable information for businesses. Generally, data scientists process data, which includes collecting, organizing, cleaning, verifying, analyzing, and converting it into readable formats such as graphs or documents.
Astera
JUNE 16, 2023
Invoice capture extracts relevant information from these documents and converts it into a digital format through a combination of advanced technologies and intelligent software algorithms. After extraction, the data is validated, verified, and cross-checked against predefined rules and formats to ensure accuracy and consistency.
Monday
JUNE 24, 2021
Scrolling through long email threads or sifting through tools or documents to find data is tedious and slows the entire project down. Execution : as team members accomplish tasks, your project management information system will store documents, facilitate communication and automatically update relevant stakeholders as plans progress.
Cprime
JULY 27, 2021
Date is collected infrequently due to the significant effort required to assemble experts and obtain data. Requires tooling and normalizing tooling data Automated data collection may be difficult from document based tools like MS Excel.
Astera
JANUARY 19, 2024
Its feature set encompasses data automation and integration functions, allowing the efficient delivery of data to data lakes and cloud data warehouses through visual ETL and ELT processes. Key Features: Data streaming architecture.
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