Data warehousing is not a new concept, however, 2015 marks a very special year in the field. With unprecedented growth in the Internet of Things (IoT), customer relationship marketing (CRM), smart data recovery and hybrid transactional/analytical processing (HTAP), it goes without saying that data warehousing is also evolving to keep pace. use all of those skills together while still being able to demonstrate the results to non-technical audiences."
With the worlds of data science, business intelligence and statistical models continually developing and evolving, it is more necessary than ever before to recognize the differences and distinctions these terms possess.
In business intelligence (BI), having access to and being able to utilize important information for the purposes of making sound business decisions towards reaching a specific, strategic goal is the most important aspect. As such, this makes reports and analysis the two most important tools for comprehending large amounts of data and determining a decisive plan of action towards achieving the desired results.