Dataconomy

MAY 26, 2025

Key steps in data management An effective data management process involves several key steps: Data retention strategy: A clear decision on what data to keep for compliance and business needs. Data discarding policies: Identifying data that can be safely discarded when it is no longer needed.

Big Data 91

Big Data Big Data Apache Hadoop Data Quality 91

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

Pickl AI

DECEMBER 11, 2024

Efficiency emphasises streamlined processes to reduce redundancies and waste, maximising value from every data point. Common Challenges with Traditional Data Management Traditional data management systems often grapple with data silos, which isolate critical information across departments, hindering collaboration and transparency.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52