Remove Data Classification Remove Data Quality Remove Information
article thumbnail

Data Classification Can Make or Break Data Governance

Dataversity

The news these days is full of massive fines levied against companies that failed to protect their customer data. An effective data classification approach is one of the best ways to ensure that companies can identify and protect their most valuable data. Our experience continues to […].

article thumbnail

Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

IBM Data Science in Practice

Metadata Enrichment: Empowering Data Governance Data Quality Tab from Metadata Enrichment Metadata enrichment is a crucial aspect of data governance, enabling organizations to enhance the quality and context of their data assets. More on metadata enrichment can be read here.

SQL 130
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Role of IT in Data Governance

The Data Administration Newsletter

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

article thumbnail

AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, data classification, organization and tagging.

AI 45
article thumbnail

Why Your Master Data Management Needs Data Governance

Precisely

MDM offers a unified reference point that can harmonize and synchronize the customer information stored and maintained in those various systems. An MDM consolidates important domain data into unique or linked instances (e.g. An MDM consolidates important domain data into unique or linked instances (e.g.

article thumbnail

Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. This makes it easier to compare and contrast information and provides organizations with a unified view of their data. Checking the data quality before and after the cleansing steps is critical.

article thumbnail

Data governance 101: Building a strong foundation for your organization

Dataconomy

In an era where data is king, the ability to harness and manage it effectively can make or break a business. A comprehensive data governance strategy is the foundation upon which organizations can build trust with their customers, stay compliant with regulations, and drive informed decision-making.