The importance of DAT in the digital transformation of retail

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This article is the third in a mini-series (the first episode is here) with name A revolution in retail in which we understand the main issues surrounding the revolution that began in retail. We talk about macro and micro economics and the implications of the importance of positioning for retail, the world has become topologicalthe future of proximity, data, marketing and of course the essential subject of artificial intelligence.

The podcast discusses the importance of information systems in a data-driven society. Businesses need to generate insights from data, and that information needs to be secure. Jean-François Gomez questions whether brands have reached maturity when it comes to their information systems. He takes the example of Walmart, which has invested heavily in cutting-edge technology to optimize its distribution operations. It also highlights the importance of companies knowing their core business and investing in the right technology. Our guest expresses his opinion that many information systems in retail are inefficient and need improvement. It warns against relying on third parties to manage information systems, as this could lead to sharing confidential data with those third parties and training them in consumer behavior.

Understanding DATA challenges for retail

Excerpts

I’m going to put my evangelist hat on a little bit to try to take– because data is the same, it’s the word that’s used, I think we have the word data in all the sentences today. Whatever your role in the company, we strive to put data into it.

Then something pretty big happens too. First, I think we always have to make an analogy with a physicist. This means that man first tried to outsource his physical functions. He invented the wheel, then levers, and so on. Then, thanks to oil and energy, he created steam engines and gasoline engines. There somewhere we had this explosion, this acceleration of the externalities of our physical functions. We can clearly see that today with few materials we have incredible power. As Jean-Marc Jancovici says, they are granules of superpower. Data is the same for cognitive.

This means that first the oral tradition, then we began to write. Cognitive is the data that allows us to exchange, we must speak the same language. It allows you to save, amplify and therefore share. So we had writing, we had electronics, which was an important medium. That’s why the first industrial revolution, I always put it in the 1970s, when we started using electronics, for example with Swift for financial transfers. This is also where the decorrelation between the value created by the company and the value redistributed to employees began. I won’t go into it, but it’s pretty clear that it was during those years that he started to have a problem. Today, data is amplified by artificial intelligence. This cognitive data allows us to see where we are not, allows us to read thousands of documents in a few seconds. So it’s in the data. First of all, data allows us to communicate with people we don’t currently talk to. Voice, words are data. We are all data carriers somewhere and we all have our data supply chain when we read a book and so on. That’s important. That’s when this data has value today. That is, who are the customers who came to my store? How many receipts? How much did I sell this product for? What product was sold? At what time? At what point? It’s all data. It should never be shared. It is primarily a responsibility, especially if it is

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