IBM Journey to AI blog

SEPTEMBER 5, 2024

Start small by setting measurable goals and assigning ownership of data domains. Establishing standardized definitions and control measures builds a solid foundation that evolves as the framework matures. Define roles and responsibilities A successful data governance framework requires clearly defined roles and responsibilities.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Precisely

JUNE 26, 2023

Business needs and challenges 77% of respondents say data-driven decision-making is the top goal of their data programs – and they’re also looking to accelerate those processes. Those who have already made progress toward that end have used advanced analytics tools that work outside of their application-based data silos.

Data Quality 52

Data Quality Data Silos Data Governance Analytics 52

Alation

OCTOBER 12, 2021

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Evaluate and monitor data quality.

Analytics 52

Analytics Analytics Data Governance DataOps 52