The most common data breaches that companies have to face are :

  • Stolen data / hacked (from inside or outside sources)
  • Administrative errors (human operator mistakes)
  • Mistakenly online exposition (insufficient protection or application vulnerabilities)
  • Visual hacking (workers accessing data from their mobile or personal devices)
  • Data loss (malwares, espionage)

An introduction to data quality

According to a survey from InformationWeek Analytics*, data quality in 2015 is «still the No. 1 "barrier to success" cited by both Business Intelligence and analytics types and information management professionals».

Analogy between a whisky distillery and data management

The similitudes don't typically jump out, do they? But you'll quickly see the point. 

On one side, in a whisky distillery we have engineers who build the tubings and alembics and such (the containers), and biologists who are in charge of taking care of the many processes leading to the final product (the content). It's all about measuring the quality and tasting.

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).

Our cavemen ancestors were all about foraging. Times were tough and to survive one needed to go hunt or search for plants. We've come a long way since then of course, but a small part of us still reacts pretty much the same way. We consider accumulation as a richess. But what is true for more traditional assets such as gold is not necessarily true for modern business assets such as data.

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