Clickless Analytics: Search Analytics That is Easy and Fast!
Natural Language Processing (NLP) and Clickless Analytics: Advanced Analytics for All!
Natural Language Processing (NLP) takes the shackles off business users and provides advanced search analytics that is as easy as using a search engine. When advanced analytics incorporates natural language processing, business users can formulate questions and receive answers in a way that mirrors human language and writing. They do not need code or specific formats. They can just enter a question and receive an answer.
Users may want to leverage Advanced Analytics to find out which region sold the most units of a particular product last quarter, or they may want to find out how many units of a certain product are available in a certain warehouse, or which suppliers delivered products in the shortest time from order to delivery. Those are just some of the questions a business user might ask. Natural language search analytics can be used in advanced analytics to uncover valuable nuggets of information in the financial arena, in sales, marketing, HR, IT, manufacturing, purchasing, payroll and every other aspect of the organization.
Natural Language Processing search analytics allows business users to create complex searches without endless clicks and complex navigation and commands. Using this type of Search Analytics, users can access and view clear, concise answers and analysis quickly and easily. With natural language-processing-based search capability, users do not need to scroll through menus and navigation.
Clickless Analytics enhances this process further by providing simplified search analytics with seamless Augmented Analytics so users can work through searches and produce results with guidance, auto-recommendations and suggestions in an environment that uses machine learning and natural language processing (NLP) so the process is simple, swift and worry-free. Users work in a self-serve environment that is easy enough for every team member and will result in increased user adoption, improved data democratization, and return on investment (ROI).
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Original Post: Advanced Analytics with Natural Language Processing (NLP)!