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

NOVEMBER 30, 2023

Aspect Data Vault 1.0 Data Vault 2.0 Hash Keys Hash Keys weren’t a central concept, limiting data integrity and traceability. Prioritizes Hash Keys, ensuring data integrity and improving traceability for enhanced data security. Loading Procedures Loading procedures in Data Vault 1.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

NOVEMBER 13, 2023

For instance, marketing teams can use data from EDWs to analyze customer behavior and optimize campaigns, while finance can monitor financial performance and HR can track workforce metrics, all contributing to informed, cross-functional decision-making. This schema is particularly useful for data warehouses with substantial data volumes.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

AUGUST 5, 2024

Data Quality and Integration Ensuring data accuracy, consistency, and integration from diverse sources is a primary challenge when analyzing business data. Implementing robust data governance frameworks and quality assurance processes is essential to address this.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

JUNE 3, 2024

A data warehouse leverages the core strengths of databases—data storage, organization, and retrieval—and tailor them specifically to support data analysis and business intelligence (BI) efforts. Today, cloud computing, artificial intelligence (AI), and machine learning (ML) are pushing the boundaries of databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Dataversity

APRIL 22, 2022

In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively.

Data Management 130

Data Management Digital Data Quality Data Governance 130

Dataversity

MAY 17, 2021

Businesses must address the challenges of cloud migration through the lenses of data integrity, security, and sovereignty. While it may be a pain, it will enable you to make better, long-term business decisions confidently. The post Requirements for Confident Cloud Migration appeared first on DATAVERSITY.

Data Governance 130

Data Governance Data Quality Artificial Intelligence Data Architecture 130

Dataversity

JUNE 25, 2021

From hackable medical devices to combating fake news, data provenance is growing in importance. In addition to enabling trust and security, data provenance creates efficiencies for data scientists and opens up new lines of business. Click to learn more about author Brian Platz.

Data Governance 130

Data Governance Data Quality Artificial Intelligence Data Security 130