| |OCTOBER 20248CIOReviewWhile data analysis has probably existed for millennia, it wasn't until around 30 years ago that business intelligence arose as the new promise in the corporate world. Technology was transforming the way the world did business, with massive migrations in the business mentality from analog to digital. Not only was this brand new brave digital word difficult, but it was also deeply misunderstood and scary for those with many decades of experience who just suddenly got their A-game shaken and challenged.Financial institutions were the pioneers in breaking the problem down, understanding that it was not just receipts, transactions, and dollars but customers that could now be consistently identified, even if they chose not to. Hence, the data was there, being massively stored and growing every second. Business intelligence was born everywhere, like a giant bang of ones and zeroes accruing in local bank servers. When did it happen exactly? It is hard to say, but the need for talent, engineers, and seasoned talent capable of understanding this intangible world was scarce. It took a lot of manpower and significant hours of processing power because not all the technology was prepared for it and how quickly it would grow.I was incredibly lucky to learn programming in my college years as a chemical engineering student. Managing, adapting, and interpreting numbers of complicated and, many times, abstract concepts were just in my DNA. For many years, business intelligence was the core brain of the companies for which I worked. I was always close with the C-suite, hungry THE EVOLUTION OF BUSINESS ANALYTICS, THE STRENGTHENING OF DATA SCIENCE, AND THE PROMISE OF ARTIFICIAL INTELLIGENCE AS BOTTOM-LINE REVENUE INSURANCEBy Javier Contreras Gaillard, Director of Analytics and Data Science, At Home Group Inc.Javier Contreras GaillardIN MY OPINIONIN MY OPINIONIN MY OPINIONIN MY OPINION
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