Astera

MAY 4, 2023

The GDPR also includes requirements for data minimization, data accuracy, and data security, which can be particularly applicable to the use of AI-based document processing. Poor data quality can lead to biased or inaccurate results, undermining the system’s transparency and fairness.

Documentation 40

Documentation Artificial Intelligence Data Security Monitoring 40

Astera

AUGUST 11, 2023

Healthcare organizations deal with huge amounts of data every day, from patient records and claims to lab results and prescriptions. However, not all data is created equal. Different systems and formats can make data exchange difficult, costly, and error-prone. What Does EDI Stand for in Healthcare?

Healthcare 52

Healthcare Documentation Planning Data Security 52

Astera

APRIL 7, 2023

In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

MAY 13, 2024

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Besides being relevant, your data must be complete, up-to-date, and accurate.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

APRIL 4, 2024

Data governance’s primary purpose is to ensure organizational data assets’ quality, integrity, security, and effective use. The key objectives of Data Governance include: Enhancing Clear Ownership: Assigning roles to ensure accountability and effective management of data assets.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

MARCH 30, 2023

while data sharing is crucial for organizations, it does not come without implementational challenge Create a Centralized Data Repository For Seamless Data Sharing with Astera Centerprise View Demo Challenges of Intra-Enterprise Data sharing Data Security: A primary challenge of sharing data across organizations is data security.

Data Quality 52

Data Quality Data Warehouse Data Security Finance 52

Astera

JANUARY 24, 2024

Key Features of Astera It offers customized data quality rules so you can get to your required data faster and remove irrelevant entries more easily. It provides multiple security measures for data protection. Features built-in data quality tools, such as the Data Quality Firewall, and error detection.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

MARCH 28, 2024

Establishing a data catalog is part of a broader data governance strategy, which includes: creating a business glossary, increasing data literacy across the company and data classification. Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

APRIL 10, 2023

The world of big data can unravel countless possibilities. From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. Data profiling is the first step toward achieving data quality.

Big Data 52

Big Data IBM Maintenance IBM cost Data Quality 52

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95

GAVS Technology

AUGUST 31, 2021

Each interaction within the healthcare system generates critical patient data that needs to be available across hospitals, practices, or clinics. Consequently, the industry witnessed a surge in the amount of patient data collected and stored. The varying use of data standards can affect interoperability.

Healthcare 40

Healthcare Data Security Government Data Quality 40

Astera

JANUARY 12, 2024

It ensures that data from different departments, like patient records, lab results, and billing, can be securely collected and accessed when needed. Selecting the right data architecture depends on the specific needs of a business. Use Cases Choosing between a Data Vault and a Data Mesh often depends on specific use cases.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

APRIL 24, 2024

Business analysts, data scientists, IT professionals, and decision-makers across various industries rely on data aggregation tools to gather and analyze data. Essentially, any organization aiming to leverage data for competitive advantage will benefit from data aggregation tools.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52