erwin

JULY 17, 2019

The solution is data intelligence. It improves IT and business data literacy and knowledge, supporting enterprise data governance and business enablement. Organizations need a real-time, accurate picture of the metadata landscape to: Discover data – Identify and interrogate metadata from various data management silos.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Cloudera

JUNE 6, 2024

To keep pace as banking becomes increasingly digitized in Southeast Asia, OCBC was looking to utilize AI/ML to make more data-driven decisions to improve customer experience and mitigate risks. While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data.

Contextual Data 83

Contextual Data Data Lake Data-driven Risk 83

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. A business glossary to explain the business terms used within a data asset.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

CIO Business Intelligence

MAY 29, 2025

The open data foundation: Beyond raw Iceberg to enterprise-grade control For years, the vast scale of data lakes often resulted in data swamps, lacking the critical governance and performance necessary for enterprise-grade workloads.

Metadata 87

Metadata Contextual Data Cost-Benefit Unstructured Data 87

CIO Business Intelligence

MAY 6, 2025

This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action. Prescriptive analytics: Moving from knowing to doing Prescriptive analytics answers the question: What should we do about it?

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78