Party On
The most frequent data domain addressed in data quality improvement and master data management is parties. Some of the issues related to parties that keeps on creating difficulties are: Party roles...
View ArticleSingle Customer Hierarchy View
One of the things I do over and over again as part of my work is data matching. There is a clear tendency that the goal of the data matching efforts increasingly is a master data consolidation taking...
View ArticleFit for repurposing
Reading a blog post by David Loshin called Data Governance and Quality: Data Reuse vs. Data Repurposing I was, perhaps a bit off topic, inspired to pose the question about if data are of high quality...
View ArticleYin and Yang Data Quality
The old Chinese concept of yin and yang, or simply yīnyáng, is used to describe how polar opposites or seemingly contrary forces are interconnected and interdependent in the natural world. The concept...
View ArticleInaccurately Accurate
The public administrative practice for keeping track of the citizens within a country is very different between my former country of living being Denmark and my current country of living being the...
View ArticleThe Problem with Multiple Purposes of Use
Today I noticed this tweet by Malcolm Chisholm: I agree. The problem with the “fitness for use” or “fit for the purpose of use” definition of data quality has been a recurring subject on this blog...
View Article”Fitness for Use” is Dead
The definition of data quality as being ”fitness for use” is challenged. “Real world alignment” or similar expressions are gaining traction. Back in May Malcolm Chisholm made a tweet about the...
View ArticleData that is not aligned with the real world usually provides bad information
The shortcomings of data being fit for some purpose of use compared to data that is aligned with the real world is a repeating topic on this blog latest in the post “Fitness for Use” is Dead. Today I...
View ArticleHierarchical Single Source of Truth
Most data quality and master data management gurus, experts and practitioners agree that achieving a “single source of truth” is a nice term, but is not what data quality and master data management is...
View ArticleThe Greenland Problem in MDM
In a recent comment here on this blog the relevance of Master Data Management (MDM) solutions was questioned because in real business life different business units sees master data very differently...
View ArticleData Quality, Real World Alignment and Visualization by Maps
Babbling about data quality, real world alignment and maps is a regular topic on this blog and this Saturday is no exception. This week I stumbled on a discussion in the “Data, Data, Data” community on...
View ArticleMulti-Facet MDM
In MDM (Master Data Management) there is the term Multi-Domain MDM being how we manage respectively parties, products, locations and other entity types and handling master data within a Multi-Channel...
View ArticleOmni-purpose Data Quality
A recent post on this blog was called Omni-purpose MDM. Herein it is discussed in what degree MDM solutions should cover all business cases where Master Data Management plays a part. Master Data...
View ArticleCustomer Friendly Product Master Data
Data is of high quality if they are fit for the purpose of use. This mantra has been around in the data management realm for many years. In a recent article by Andy Hayler on CIO about MDM at Harrods...
View ArticleThe “Fit for Purpose” Trap
Gartner (the analyst firm), represented by Saul Judah, takes data quality back to basics in the recent post called Data Quality Improvement. While I agree with the sentiment around measuring the facts...
View ArticlePost No. 666
This is post number 666 on this blog. 666 is the number of the beast. Something diabolic. The first post on my blog came out in June 2009 and was called Qualities in Data Architecture. This post was...
View ArticleEvergreen Data Quality and MDM
The term evergreen is known from botany as plants staying green all year and from music as songs not just being a hit for a few months but capable of generating royalties for years and years. Data...
View ArticleData Warehouse vs Data Lake, Take 2
The differences between a data warehouse and a data lake has been discussed a lot as for example here and here. To summarize, the main point in my eyes is: In a data warehouse the purpose and structure...
View ArticleThe Two Data Quality Definitions
If you search on Google for “data quality” you will find the ever-recurring discussion on how we can define data quality. This is also true for the top ranked none sponsored articles as the Wikipedia...
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