Over the past two decades, the meaning of data analytics (DA) has undergone significant changes and it continues to expand at present as the field evolves. The changes have been driven by business needs, adoption strategies, required skills and capabilities, and technological advancements. As DA has a broad impact across various sectors, it is essential to comprehend its evolution and anticipate its future developments. The purpose of this article is to assist analytics and business experts in preparing for the future.
