IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

The Data Administration Newsletter

MARCH 15, 2022

Borne of the Japanese business philosophy, kaizen is most often associated […]. What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process.

Data Governance 98

Data Governance DataOps Business Intelligence Business Intelligence 98

Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. The best part? His major takeaway?

Data Governance 52

Data Governance DataOps Data Pipeline Business Intelligence 52

Dataconomy

MAY 26, 2025

Big data management refers to the strategies and processes involved in handling extensive volumes of structured and unstructured data to ensure high data quality and accessibility for analytics and business intelligence applications.

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. Business strategy. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making.

Analytics 52

Analytics Analytics Data Governance DataOps 52