Search for:
MDM vs. CDP: Which Does Your Organization Need?


Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Often, the reasons include:   1. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3. Inconsistent data quality across the organization Implementing a central […]

The post MDM vs. CDP: Which Does Your Organization Need? appeared first on DATAVERSITY.


Read More
Author: Mahtab Masood and Arjun Vishwanath

Master Data Match Rules
As part of a master data management (MDM) implementation, a series of rules must be implemented to determine if two records refer to the same real-world entity that they represent. In the world of MDM, this is often referred to as the golden record, and master data match rules identify when two should become one.  Introduction  […]


Read More
Author: Mark Horseman

How to Ensure Data Quality and Consistency in Master Data Management


In the digital age, organizations increasingly rely on data for strategic decision-making, making the management of this data more critical than ever. This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data. This evolution underscores the importance of master […]

The post How to Ensure Data Quality and Consistency in Master Data Management appeared first on DATAVERSITY.


Read More
Author: Ravikumar Vallepu

The Art of Lean Governance: Addressing the Elephant in the Room
Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time. However, these same spreadsheets represent a significant control problem exposing […]


Read More
Author: Steve Zagoudis

Why Master Data Management (MDM) and AI Go Hand in Hand


Organizations have long struggled with the “eternal data problem” – that is, how to collect, store, and manage the massive amount of data their businesses generate. This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […]

The post Why Master Data Management (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.


Read More
Author: Brett Hansen

What is master data management: A complete guide


IntroductionMaster data management (MDM) is a critical aspect of modern data management practices. MDM is the process of creating, maintaining and governing the master data, which is the core data that is used to support an organization’s business processes and operations. Master data is typically shared across multiple systems and applications, and is used to […]

The post What is master data management: A complete guide appeared first on LightsOnData.


Read More
Author: George Firican