Precisely

SEPTEMBER 5, 2023

An MDM consolidates important domain data into unique or linked instances (e.g. a “golden” record) and then uses that unique record as a reference point for aggregating associated data, purging duplicates, standardizing data across various applications, and creating rules to continuously resolve, merge, or disassociate records.

Data Governance 52

Data Governance Data Quality Cloud Computing Data Classification 52

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? These questions drive classification. Once you have data classification then you can talk about whether you need to tokenize and why, or anonymize and why, or encrypt and why, etc.” Data Collaboration Data discovery has increasingly become a team sport.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

Alation

AUGUST 26, 2021

So how does data intelligence support governance? Examples of governance features that leverage data intelligence include: A business glossary, with automated data classification, to align teams on key terms. Data lineage tracking and impact analysis reports to show transformation over time. Data lineage features.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

Mlearning.ai

NOVEMBER 29, 2023

This means that it is best used for elaborating data classifications in conjunction with other efficient algorithms. For instance, when used with decision trees, it learns to outline the hardest-to-classify data instances over time. But the results should be worth it.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Flipboard

MARCH 21, 2025

Global policies such as data dictionaries ( business glossaries ), data classification tags, and additional information with metadata forms can be created by the governance team to ensure standardization and consistency within the organization.

SQL 139

SQL Data Analyst Data Warehouse AWS 139