Introduction to Data Quality

We’ve all heard the phrase “garbage in, garbage out” which highlights the importance of quality data for data-driven systems. Here, quality data can be interpreted in two ways: firstly as clean and well-standardized data that meets expectations, and secondly, as...

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Getting more value out of your data 

“Data is eating the world”, is a well-known variant on Mark Andreesen’s famous quote “Software is eating the world”. In our current output driven society everything is measured by an interpretation of a set of data, even by the people...