Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for business to compete.
According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives,followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements The support and advancements that cloud technologies deliver in the analytics space is clear. It’s no surprise that, according to a recent BARC Survey, 78% of organizations are planning to increase the use of cloud for business intelligence and data management in the next 12 months. Prior to the advent of inexpensive, readily available cloud technology, organizations were forced to make capital investments in on-premise infrastructure to support their enterprise data storage and analytics environments. The upfront investment included large stacks of physical hardware that would often remain unchanged for many years, rendering it a legacy investment. This method of hardware procurement is conclusively outdated, and given the speed of technological, regulatory, market, and competitive change, traditional on-premise deployments are increasingly a burden for large organizations due to resources and costs. Cloud presents a solution to these challenges. It gives organizations the means to quickly and easily create new environments with very little capital investment
