The goal of data analytics is to provide organizations with deep, actionable insights that can help them make critical business decisions or pivot at the right time to meet customer demand. But to do that, the underlying analytics framework must be up to the tasks.
The most important consideration when implementing your analytics framework is not just what technology it’s built on, but what the business need is.
Will you be analyzing online data, benchmarking, doing ad hoc queries, or working on data and process mining? Do you need to quickly understand customer trends and buying habits, or get a handle today on what your industry and competitors are doing?
What’s most important to your business – speed, agility, massive data processing, or all of the above? Wavicle recognizes that these questions must be answered first, before technology is considered. Using our technology-agnostic approach, Wavicle helps you understand the best direction forward based on your company’s needs, then develops MVP’s (Minimally Viable Products) and sandboxes so you can rapidly prove value.