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Mind the Gap: Architecting Santa’s List – The Naughty-Nice Database


You never know what’s going to happen when you click on a LinkedIn job posting button. I’m always on the lookout for interesting and impactful projects, and one in particular caught my attention: “Far North Enterprises, a global fabrication and distribution establishment, is looking to modernize a very old data environment.” I clicked the button […]

The post Mind the Gap: Architecting Santa’s List – The Naughty-Nice Database appeared first on DATAVERSITY.


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Author: Mark Cooper

How to Win the War Against Bad Master Data


Master data lays the foundation for your supplier and customer relationships. It identifies who you are doing business with, how you will do business with them, and how you will pay them or vice versa – not to mention it can prevent fraud, fines, and errors. However, teams often fail to reap the full benefits […]

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Author: Danny Thompson

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.


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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  […]


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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.


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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 […]


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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.


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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.


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Author: George Firican

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