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.


Gathering data, a lot of data, is the new business trend. Indeed we have been told by industry observers that data is the new gold rush. But that comparison is sorely lacking. Data is not gold. If we were to use the gold analogy, data would be more like the stones from the river bed that the gold hunter needs to shake in his net to find the real value.


So is it possible to have too much data? Of course, the answer to this question depends greatly of your organisation’s size and level of data mindedness. But it seems pretty obvious that if you’re going to have to search for nuggets of value within a never-ending river of knowledge, the question of quality must be adressed sooner than later.


Data quality much more than data quantity will impact your organisation’s growth. This explains why data professionals today see the role of a data scientist much more as a quality guard than an analyst. Data scientist are therefore the first line of defense to protect your organisation from being overwhelmed by data. But outsourced help can also tremendously affect the level of quality of your data.

Rever Data Engineers has developped its own set of data quality assessment tools based on the unique know-how of our team of engineers. We also provide data cleaning processes.