Dataversity

JULY 12, 2021

In my eight years as a Gartner analyst covering Master Data Management (MDM) and two years advising clients and prospects at a leading vendor, I have seen first-hand the importance of taking a multidomain approach to MDM. Click to learn more about author Bill O’Kane.

Master Data Management 130

Master Data Management Data Management Data Quality Data Governance 130

Astera

JULY 13, 2023

This makes it a valuable resource for organizations that need to analyze a wide range of data types. Master Data Management (MDM) Master data management is a process of creating a single, authoritative source of data for business-critical information, such as customer or product data.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JANUARY 25, 2024

This facilitates the real-time flow of data from data warehouse to reporting dashboards and operational analytics tools, accelerating data processing and providing business leaders with timely information. Data Models: These define the specific sets of data that need to be moved.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

The Data Administration Newsletter

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Master Data Management 78

Master Data Management Data Quality Data Modelling Data Governance 78

Astera

APRIL 24, 2024

Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. Interactive, Automated Data Preparation : Ensures data quality using data health monitors, interactive grids, and robust quality checks.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Insight Software

AUGUST 30, 2024

AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master data modeling, and improving data governance efficiency. Data quality is paramount for successful AI adoption.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM cost 52