The concept of big data can be overwhelming for many organizations. They know that they have valuable information coming in from various sources, but often struggle with how to organize and action that data in any meaningful way. This struggle is exacerbated by clever marketing and buzz word bingo, which further confuses actual requirements and proper adoption of big data solutions; organizations fear they’re falling behind by failing to adopt the seemingly endless stream of new tools that promise to leverage their data.
Because leveraging big data analytics seems so daunting, many IT professionals end up only dipping a toe into the potential capabilities, but never quite jump in to take advantage of them all.
