It is no news that data science applications are increasingly integrated into the life of organizations and, consequently, in the life of all of us. From the most familiar aspects like product and content recommendations (just think of the giants Facebook, Netflix, Amazon, and Spotify, which analyse our characteristics, interests and preferences to suggest the next product we will like), to the most surprising applications like, for example, suggesting recipes based on the ingredients we have in our kitchen [1], artificial intelligence algorithms are becoming more and more pervasive in our daily lives.
The high failure rate of change efforts - usually around two thirds - has motivated researchers and managers to pay increasing attention to change management. As this is a worrying statistic, several studies have been conducted since the 1990s only to find that this ratio, despite numerous efforts, persists.
Twenty years ago, as a consequence of the definition of recycling targets by the European Commission, numerous awareness-raising campaigns on the subject emerged in Portugal. Currently, it has been possible to prove the positive impact of communication on the population, generating a change of habits.
Learning is a journey for life: personally and professionally. As such, one would expect investment in training to remain constant throughout one's professional career, but we are still a long way from that reality. In this context, the question that arises among executives is: why invest? In this article, we present 10 reasons why you should invest in your training, supported by the testimonials of Nova SBE executive training students.
Starting a company is tempting. The eulogy of the entrepreneur is nowadays exacerbated, full of success stories from Silicon Valley: the garage company that became Fortune 500, the start-up sold for millions or the eccentric life of someone who became a multimillionaire overnight. However, the truth is that not everything translates into a megalomaniac marketing campaign, and achieving this status is not only unlikely, but also implies a lot of work, a lot of time and a lot of mistakes.