Precisely

MARCH 13, 2023

Despite that understanding, many organizations lack a clear framework for organizing, managing, and governing their valuable data assets. In many cases, that realization prompts executive leaders to create a data governance program within their company. In many organizations, that simply isn’t the case.

Data Governance 52

Data Governance Government Generalist Data 52

Towards Data Science

JUNE 8, 2023

Specialists or generalists? We examine which team structures are the best suited for efficiently improving data quality. Sure, data quality is everyones’ problem. Why is data quality ownership important? It’s typically posed in a version of, “Why does it matter who owns data quality as long as it gets done?”

Data Governance 77

Data Governance Government Generalist Data Engineering 77

AltexSoft

FEBRUARY 11, 2023

In the EU, the General Data Protection Regulation (GDPR) sets guidelines for collecting, storing, and processing personal information. This privacy law must be kept in mind when building data architecture. It defines metrics and best practices to ensure data quality as well as data privacy and security.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

MAY 19, 2022

From the start, the data steward role was heavily intertwined with data governance and metadata management. However, stewards also took on leadership across initiatives designed to tame the “5 v’s” of big data: volume, value, variety, velocity, and veracity. Data governance initiatives can collapse under their own weight.

Generalist 52

Generalist Data Governance Government Metadata 52

Striim

NOVEMBER 8, 2023

” and “what is the best way to structure the data?” In a recent McKinsey survey, organizations reported spending up to 80% of their data analytics project time on repetitive data pipeline setup, which ultimately slowed down the productivity of their data teams.

Architecture 52

Architecture Generalist Government Datasets 52