Data platforms are designed to manage and analyze big data, enabling organizations to leverage their data to operate with greater efficiency across on-premises, hybrid and multi-cloud environments. Our Analytics and Data Benchmark Research finds that while 58% are using big data in their analytics processes, less than one quarter (23%) are satisfied with their technology’s support for big data. Looking at the statistics, it is safe to say that organizations have been slow to adopt modern technology that was built to help manage and organize big data so that it can be used for analysis. With advancements in technology, organizations are now able to provide a platform that makes it easier for line of business workers to access and analyze big data.
When you think about it, events are at the very core of computing, right down to the simplest if-then operation in a spreadsheet. Each event leads to a set of choices, often binary, which then become events in themselves. As computing has become more ubiquitous and has developed into the architecture upon which all business and commerce runs, the events themselves have become more consequential and more numerous. There’s still an event, and each "if" still leads to a "then," but now we evaluate at enterprise scale.