GAVS Technology

MARCH 18, 2024

Today, the healthcare industry faces several risks of data breaches and other data security and privacy challenges. Automation in healthcare systems, digitization of patient & clinical data, and increased information transparency are translating directly into higher chances for data compromise.

Healthcare 52

Healthcare Cybersecurity Digital Data Security 52

Timo Elliott

DECEMBER 11, 2018

All of these things require data and analytics. More visibility, for example — the internet of things gives us new ways of monitoring and optimizing previously invisible business processes. And just having lots of data isn’t enough – what’s important is to be able to focus on what’s important.

Big Data 274

Big Data Healthcare Data Discovery Visualization 274

Astera

APRIL 28, 2023

AI algorithms can detect anomalies, inconsistencies, and errors in data, reducing the potential for human error and increasing operational efficiency. For example, GE Healthcare leverage AI-powered data cleansing tools to improve the quality of data in its electronic medical records, reducing the risk of errors in patient diagnosis and treatment.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

MAY 8, 2024

All three have a unique purpose in organizing, defining, and accessing data assets within an organization. For instance, in a healthcare institution, “Patient Admission” might be “the process of formally registering a patient for treatment or care within the facility.”

Data Governance 52

Data Governance Government Healthcare Retail 52

Astera

APRIL 4, 2024

Implementing Security Measures: Enforcing encryption and monitoring to protect sensitive information. Information Governance vs. Platforms can standardize product information and monitor data quality, which enhances customer trust, minimizes returns, and drives competitiveness.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

MARCH 28, 2024

While a data catalog serves as a centralized inventory of metadata, a data dictionary focuses on defining data elements and attributes, describing their meaning, format, and usage. The former offers a comprehensive view of an organization’s data assets.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

APRIL 24, 2024

Builds a Unified Data Language A common business language and data quality rules help everyone in the organization understand data terms and standards similarly. This approach avoids confusion and errors in data management and use, making communication across the company more straightforward.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52