Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

erwin

OCTOBER 16, 2020

The companies that come out of this historic period of global uncertainty and change are those who’ve taken intelligent and data-driven approaches to their businesses. 1 of erwin Insights 2020, our virtual conference on enterprise modeling and data governance/intelligence. Subscribe to the erwin Expert Blog.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

IBM Big Data Hub

DECEMBER 16, 2022

IBM AI Governance is designed to help businesses develop a consistent transparent model management process, capturing model development time, metadata, post-deployment model monitoring and customized workflows.

Uncertainty 116

Uncertainty Metadata Modeling Data Collection 116

Cloudera

AUGUST 26, 2021

This means that there is out of the box support for Ozone storage in services like Apache Hive , Apache Impala, Apache Spark, and Apache Nifi, as well as in Private Cloud experiences like Cloudera Machine Learning (CML) and Data Warehousing Experience (DWX). Data ingestion through ‘s3’. label="uncertainty").

Data Science 109

Data Science Forecasting Metadata Machine Learning 109

Alation

OCTOBER 26, 2021

Data governance: Alation allows finance teams to easily identify business metric owners and connect these experts to the underlying data they know best, which supports better governance. They can add metadata in the business glossary to indicate what types of compliance reporting a term supports.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

MARCH 29, 2022

. • You have data but don’t use it. Why does valuable data so often go unused? Lack of annotation with the right metadata is a contributing factor. An even larger issue is that people may not know how to see value in data. Recognizing what data can tell you is an acquired skill for people beyond just data scientists.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. They don’t have the resources they need to clean up data quality problems. Organizations are flunking Data Governance 101.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304