The promise of good data health through metadata management

Article first published on the Swiss website Arbido, in the Metadata – Quality data report (in French).

« Information excellence leads your business to success ». This slogan, used by many vendors in the world of computing, effectively hides the need for permanent control over the data, their quality and the management rules that govern them.

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Do you need a Harvard degree to run a business ?

The other day I was at my mechanic's shop for the annual inspection of my vehicle.

This is one of those small garages you can still find in towns, with his owner in blue overalls, friendly and yet a bit gruff.

His shop works great. He has two assistants who are hard workers like him and always smiling. You can see that everything here runs smoothly, without stress. The garage is clean and organized, and from experience I know that his customers are delighted with his services.

So I asked him what was the secret of his success.

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Data quality - Where to start ?

Less poor data is essential

Data quality is about making sure that data are accurate and coherent.

What type of organization, big or small, can say that they're not concerned by data quality ? None, of course. 

Many different types of data are collected (for research, transactions, customer or administrative care, demographics, social media activity, surveys, basically all informations aimed at statistics...).

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Metadata for dummies

Metadata are data describing other data (semantically data about data). It's the information which allows to recognize the collected data. For example the most common metadata are the backup date, the size and author of a file... all the information allowing you to identify and locate the data in due time (it can be a document, an audio file, an image, in theory any kind of collected information).

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