Astera

MAY 24, 2023

Studies show that by automating just 36% of document processes, healthcare organizations can save up to hours of work time and $11 billion in claims. So, let’s delve further into how healthcare organizations are significantly improving their medical record management processes using an automated data extraction tool.

Healthcare 40

Healthcare Documentation Innovation Digital 40

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. Predictions As artificial intelligence continues to rapidly advance, its potential applications are constantly expanding.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Insight Software

MAY 9, 2024

Streaming data pipelines enable organizations to gain immediate insights from real-time data and respond quickly to changes in their environment. They are commonly used in scenarios such as fraud detection, predictive maintenance, real-time analytics, and personalized recommendations.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52

Astera

FEBRUARY 2, 2024

Healthcare Forms: Patient intake forms, medical history forms, and insurance claims in healthcare involve a lot of unstructured data. Form processing extracts patient details, medical history, and insurance information to improve the efficiency of healthcare processes.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

JUNE 13, 2023

Evolution of Data Pipelines: From CPU Automation to Real-Time Flow Data pipelines have evolved over the past four decades, originating from the automation of CPU instructions to the seamless flow of real-time data. Initially, pipelines were rooted in CPU processing at the hardware level.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

SEPTEMBER 28, 2023

Data Movement Data pipelines handle various data movement scenarios, including replication, migration, and streaming. ETL pipelines typically involve batch processing and structured data transformation. Real-Time Processing It can include real-time data streaming capabilities.

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52