Whether you are a consumer or a business user, today’s technology users are savvy and they are used to having easy-to-use tools and features that make them more productive and allow them to quickly complete tasks. The same holds true for users of advanced analytics users. These users are also consumers when they are off the job and they are used to simple search technology like Google and other search methodologies that allow them to think, search and get results in a way that is fitting for normal speech and language.
This expectation has driven the integration of Natural Language Processing (NLP) as part of Advanced Analytics products so business users with average skills can leverage Search Analytics that employ machine learning, NLP and ‘clickless analytics’ to quickly perform searches and get results that will help them make business decisions and help them to better understand their data.
If you are a sales manager, you might use this NLP feature to ask your Augmented Analytics ‘which Southwestern region sales person sold the most units of tea products in September of 2018?’.
With natural language-processing-based search capability, users can avoid menus and scrolling and get right to the heart of the question (and answer). Results will be returned in natural language and displayed in an appropriate format with appropriate visualization to illustrate numbers, content or tables.
The concept of Clickless Analytics provides seamless augmented analytics, in a self-serve environment that is easy enough for every business user resulting in increased user adoption, improved data democratization, and return on investment (ROI).
If your users need a simpler, more intuitive way to perform search analytics, you can find the solution here: NLP and Clickless Analytics