INTRODUCTION
A mix of conflicting emotions often accompanies the arrival of data analytics in a company. On the one hand, we feel optimistic and energised: big data, AI and the automation of decision-making processes arrive together with a fair amount of euphoria and positivity, propelled by the many anecdotes and success stories that are now ubiquitous in our readings.
On the other hand, the same topics come along with a generalised sense of inadequacy and also a certain suspicion, often unspoken, that sounds like this: ‘Is this data really as important as they say, or is it yet another bubble that does nothing but divert attention from our core business?’ In any case, the moment we decide to invest in it properly or to accelerate the journey ...
Get Starting Up On Your Own now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
