Undoubtedly, the more companies know their customers, the better experience they can provide. However, the traditional ways of acquiring these insights are labor-intensive and lengthy for analysts.
It is expensive for major corporations and even more for small businesses. Therefore, it is not astonishing that many companies have begun to deploy artificial intelligence (AI) to offer a customer experience that is informed and convenient at any given point along the customer’s journey. In fact, Forbes recently reported that 75% of enterprises employing AI and machine learning (ML) can boost customer satisfaction by more than 10%.
AI-powered data analytics provides companies significantly useful insights in a fraction of the time that it would take a human analyst, while simultaneously removing human bias and error. In no way it means that data analyst jobs are likely to become obsolete. Instead, data analysts’ role in connecting the data with the real world would become even more important and nuanced.
Before we explore how AI-powered data analytics helps in driving business results, while revolutionizing the data analyst’s role, let’s first understand AI and ML.
