We are just beginning to witness an analytics evolution, a shift away from historical batch reporting to real-time analytics for data-driven decision making while events are happening. In a fiercely competitive, digital world where speed to insight and action have become more critical than ever before, decision makers do not have the luxury of relying on data that can only get periodically updated.
Analyzing real-time data feeds with high throughput used to be immensely difficult, time consuming to set up and expensive to scale. In the past when project sponsors asked for real-time reporting, analytics professionals would prudently push back on information timing needs to level set expectations with regards to what could be reasonably delivered. Compromises on right-time dashboards that directly connected to relational databases or used relational online analytical processing (ROLAP) solutions were common.
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