Alation

MAY 19, 2022

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often.

Data Analytics 52

Data Analytics Metadata Analytics Data Governance 52

Alation

MARCH 14, 2023

It also recognised that more and more data was being harvested — but that challenges remained over how to extract truly valuable insight from it. It also set out a detailed plan to make data ‘ an enduring, strategic asset ’, with clear goals to be reached by 2025. What is a data strategy?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Alation

JULY 6, 2021

As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. The world is collectively generating trillions of gigabytes of new data. And one enterprise alone can generate a world of data. The result?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Alation

AUGUST 17, 2021

Enterprises are making major investments in their data and analytics capabilities, both to help manage growth in data and to cope with emerging data governance and regulatory pressures. According to IDC, by 2025, global data will grow to a whopping 175 zettabytes, and much of that growth will be in the cloud.

Data Governance 52

Data Governance Cost-Benefit Enterprise Data Warehouse 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #6: Data Quality and Governance The size and complexity of data sources and datasets is making traditional data dictionaries and Entity Relationship Diagrams (ERD) inadequate.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Andrew White

JANUARY 11, 2021

See Roadmap for Data Literacy and Data-Driven Business Transformation: A Gartner Trend Insight Report and also The Future of Data and Analytics: Reengineering the Decision, 2025. measuring value, prioritizing (where to start), and data literacy? where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

JANUARY 30, 2025

In 2025, data management is no longer a backend operation. This article dives into five key data management trends that are set to define 2025. AI-driven platforms process vast datasets to identify patterns, automating tasks like metadata tagging, schema creation and data lineage mapping.

Management 113

Management Data-driven Data Governance Unstructured Data 113

CIO Business Intelligence

MAY 14, 2025

According to Gartner , more than 80% of CEOs expect AI to contribute to top-line growth in 2025, whereas only 3% of CIOs expect the same. AI initiatives often need centralized data lakes, while domain-driven models emphasize decentralized ownership. On-demand data access. Complex governance. How can modern EA bridge the gap?

Enterprise 115

Enterprise Data Architecture Data-driven Data Quality 115

BI-Survey

FEBRUARY 27, 2025

However, a closer look reveals that these systems are far more than simple repositories: Data catalogs are at the forefront of bringing AI into your business for at least two reasons. However, lineage information and comprehensive metadata are also crucial to document and assess AI models holistically in the domain of AI governance.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

BI-Survey

MARCH 6, 2025

For data management teams, achieving more with fewer resources has become a familiar challenge. While efficiency is a priority, data quality and security remain non-negotiable. Developing and maintaining data transformation pipelines are among the first tasks to be targeted for automation. Register here!

Data Warehouse 52

Data Warehouse Metadata Unstructured Data Data-driven 52

erwin

MAY 14, 2025

Drive use of trusted assets with expanded automated data value scoring Successful AI outcomes demand using trusted models with high-value, AI-ready data. erwin Data Intelligence 15 extends your ability to easily pinpoint trusted models and automatically measure associated data value through expanded automated data value scoring.

Modeling 52

Modeling Data Quality Uncertainty Risk 52

AWS Big Data

APRIL 29, 2025

Specializing in data, their teams are dedicated to ensuring the seamless integration, management, and accessibility of data across multiple facets of the organization. Performance Optimization: A significant portion of the DAGs are dynamically generated based on database metadata.

Optimization 72

Optimization Management Recreation/Entertainment Testing 72