IBM Journey to AI blog

OCTOBER 22, 2024

This process is known as data integration , one of the key components to improving the usability of data for AI and other use cases, such as business intelligence (BI) and analytics. Data must be combined and harmonized from multiple sources into a unified, coherent format before being used with AI models.

Data Silos 102

Data Silos Data Pipeline DataOps Data Quality 102

IBM Journey to AI blog

SEPTEMBER 5, 2024

Regularly reviewing the framework and adjusting it based on feedback, new regulations or changes in business strategy fosters a culture that values data as a strategic asset, supporting effective business intelligence and data use across the organization.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Alation

MAY 31, 2023

Ben Fox has worked with data-driven organizations such as Toyota Financial, Washington Mutual, Disney, Activision Blizzard, and Electronic Arts, and has authored the book, Cooking with Business Intelligence. His major takeaway?

Data Governance 52

Data Governance DataOps Data Pipeline Data Quality 52

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

Dataversity

MARCH 29, 2021

It has taken a global pandemic for organizations to finally realize that the old way of doing businesses – and the legacy technologies and processes that came with it – are no longer going to cut it. The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. As […].

DataOps 94

DataOps Data Lakes Azure Cloud Data 94

phData

MAY 11, 2023

With the “Data Productivity Cloud” launch, Matillion has achieved a balance of simplifying source control, collaboration, and dataops by elevating Git integration to a “first-class citizen” within the framework. The most common final stage is a curation of reports that are designed for the specific business intelligence tool to be used.

ETL 52

ETL Analytics Analytics Data Models 52

Alation

OCTOBER 12, 2021

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

Analytics 52

Analytics Analytics Data Governance DataOps 52