Dataversity

JUNE 7, 2024

I was privileged to deliver a workshop at Enterprise Data World 2024. Participating in such events has multiple advantages, including becoming familiar with trending topics in the data management […] The post Enterprise Data World 2024 Takeaways: Trending Topics in Data Management appeared first on DATAVERSITY.

Data Management 187

Data Management Data Governance Data Quality Data Architecture 187

Dataversity

AUGUST 16, 2024

I was privileged to deliver a workshop at Enterprise Data World (EDW) 2024. Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […] The post Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management appeared first on DATAVERSITY.

Data Management 130

Data Management Data Governance Government Master Data Management 130

Passionate BA

DECEMBER 5, 2024

Workshop facilitation is not an easy trick, folks Hello, folks Another treat to share – a new episode of the Passionate Business Analyst podcast with Jan Meskens, Data & AI strategy consultant.

Data Governance 130

Data Governance Data Quality Data Architecture Government 130

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Domo

MAY 30, 2024

By establishing a strong foundation, improving your data integrity and security, and fostering a data-quality culture, you can make sure your data is as ready for AI as you are. You could also establish key performance indicators (KPIs) related to data quality and integrate them into performance evaluations.

Data Quality 105

Data Quality Data Governance Government Data Security 105

Analysts Corner

NOVEMBER 24, 2022

Rupa has written many research articles on quality management, Six Sigma, information management, software engineering, environmental management, compliance, simulation, and modelling.

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

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