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Channel: Fit for purpose – Liliendahl on Data Quality
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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...

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Single 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...

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Fit 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...

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Yin 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...

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Inaccurately 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...

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The 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...

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”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...

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Data 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...

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Hierarchical 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...

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The 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...

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Data 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...

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Multi-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...

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Omni-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...

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Customer 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...

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The “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...

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Post 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...

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Evergreen 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...

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Data 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...

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The 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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