In the world of technology, it will be an impossible task these days to find someone who is not aware of the term data science.
With the emergence of data science, Artificial Intelligence (AI) and Machine Learning (ML) tools appreared on the horizon. The world was introduced to the significant impact AI and ML tools could make to the way businesses plan and operate.
Among all this hype, BI, which was the poster child of the world of analytics till then, started to lose its glamour.
However, the fact is, descriptive analytics is one of the foundational capabilities and is in no way inferior to other type of tools and algorithms. The fact is, an organization strategically needs to define what type of analytics it will be leveraging across its functions and processes.
Eventually, you will be leveraging a portfolio of tools. And for some aspects, descriptive analytics is all that you need and anything more than that may be an overkill.