Time is valuable in the world of business. Waiting to get critical data analyzed and presented in the form of an understandable report can be a waste of that valuable time for business users of all levels. DATAVERSITY brought this interesting information to our attention in their article, “Augmented Analytics and Data Discovery.”
A report developed by data scientists or other IT staff may often be beyond the layman’s comprehension, which can amount to even more wasted time and effort. To solve this problem, there is a next-generation data analytics approach to make it easy accessible for the common data user. Augmented analytics and data discovery make it much easier for the non-tech employees to indulge in guided data analysis with advanced tools.
The augmented analytics process enables the extraction of intelligence through built-in trend recognition and pattern recognition tools. The data analysis process is largely automated, and sophisticated machine learning and natural language processing features aid this next-generation business analytics activity.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
