Precisely

JUNE 26, 2023

Those who have already made progress toward that end have used advanced analytics tools that work outside of their application-based data silos. Successful organizations also developed intentional strategies for improving and maintaining data quality at scale using automated tools. The biggest surprise?

Data Quality 52

Data Quality Data Silos Data Governance Artificial Intelligence 52

Alation

DECEMBER 13, 2022

Today a modern catalog hosts a wide range of users (like business leaders, data scientists and engineers) and supports an even wider set of use cases (like data governance , self-service , and cloud migration ). So feckless buyers may resort to buying separate data catalogs for use cases like…. Data governance.

DataOps 52

DataOps Data Governance Data Silos Data Scientist 52

Precisely

FEBRUARY 9, 2024

They’re where the world’s transactional data originates – and because that essential data can’t remain siloed, organizations are undertaking modernization initiatives to provide access to mainframe data in the cloud.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

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. Business strategy. Analytics forecasting.

Analytics 52

Analytics Analytics Data Governance DataOps 52