in the US that obtains valuable information via sensors about the ease of use and safety of its machines. Selling this data provides the manufacturer with an extra source of income. he precise meaning of big data depends on the context. Sometimes the ‘big’ refers to the large quantity of data, but it could equally be a question of many different data sources or data formats. To me, first and foremost, big data means an explosion in terms of complexity and the growing realization that data itself is valuable. In the past, data was used purely as a basis for analyses. Now we also have the means to do that better than ever and, what is more, data can be traded as a product in itself. For instance, there is a manufacturer of agricultural tractors
Double trouble There are two trends that can jeopardize the value of data: 1. Toxic analytics Most companies have now started capturing a whole heap of data. But the huge increase in the complexity of data makes it difficult for them to analyze the data properly and fully. So two analyses of the same data can lead to two different positions, namely toxic analytics. 2. Data chaos More and more departments in the company want to have their say. Consequently, there are too many people involved in the process, there is too much data and there are too many tools. All this leads to chaos, so it is difficult or even impossible to retrieve the real value from the data.
“ T H E H AYS TACK
Data governance Data plays a leading role in the digital transformation that is currently in full swing. Businesses can use data governance to ensure that they have high-quality data. Analysts need this data today to be able to formulate their advice properly. That’s only logical because, on the basis of this advice, important policy decisions are taken so that businesses can grow.
IS TEN TIMES BIGGER BUT THE NEEDLE IS STILL JUST AS SMALL. W E R E S O LV E THAT BY TH E AMA ZON I FI C ATION
Haystack x10 The data haystack is 10 times bigger but the needle is still just as small. That problem can be offset by what we call the ‘Amazonification’ of data. This involves dealing with data governance based on the principles of Ama zon. Goal is guiding consumers to fi nd products on their website quickly and easily. Imagine a sort of catalogue for your data that you can use to find the right data without difficulty. Otherwise you end up with the equivalent of a library with 100,000 books that have no titles and aren’t arranged in any particular order. Try starting from there. Big data 2 We talk about big data but, in fact, we haven’t seen any real big data yet. However, it’s on its way now. Once we start collecting data from the Internet of Things, sensors and wearables, data flows will get bigger than ever before. Privacy, the new green Linking the unbridled power and possibilities of big data elegantly to a - legally and morally - fair application of the privacy rules is not a simple task. In that respect you might well wonder whether it is not up to individual consumers
OF DATA .”
to choose whether to benefit as much as possible from the advantages of big data or to protect their privacy as much as possible. The privacy issue is becoming a hot topic, like being green is today. Companies will stand out more and more due to the security around privacy that they can or cannot offer their customers. In that respect, many companies today are still ill-prepared for the requirements of the new European GDPR.
is a Belgian data governance company set up in 2008 as a spin-off of the VUB. Today the company has about 250 employees and offices in New York, Belgium, France, Poland and the United Kingdom. Collibra recently raised an extra $50 million in capital. Services Collibra counters data chaos to maximize data value /// helps companies comply with the rules of GDPR etc.
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