Clickless Analytics for Business Users: Ask a Question, Get an Answer!

Every consumer and business user loves the new world of search and query. Google-type searches offer the ability to ask a question in simple form, and receive an answer you can understand. You don’t have to be a data scientist, a rocket scientist, a statistician or a data guru to perform the search or to understand the results!

When you combine self-serve augmented analytics for business with the concept of clickless analytics and natural language processing (NLP), you can provide your business users with tools that help them to quickly gather data and integrate that data from disparate sources, and then analyze the data using natural language. Ask, ‘who sold the most bakery items in the Southwest in May of 2019,’ and the system will provide an answer. It’s that simple.

‘Clickless Analytics democratizes advanced analytics so business users can enjoy the benefits of smart data discovery using natural language searches.’

Several years ago, Gartner predicted that enterprises would quickly double their current spending on natural-language-technology-based solutions, and recent surveys of businesses seem to validate that prediction. As this technology advances, and businesses understand the value of providing intuitive tools and working environs for their business users, the global business community has embraced natural language processing (NLP) and its users have come to expect nothing less. It makes them more productive and enables sharing of data and results.

With natural language-processing-based search capability and clickless analytics, users do not need to scroll through menus and navigation. They can simply enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.

Natural Language Processing Search Analytics (NLP) is a crucial component of search analytics and smart data discovery today. NLP search 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.

Clickless Analytics provides seamless augmented analytics and advanced data discovery, using machine learning and natural language processing (NLP), 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).

Clickless Analytics democratizes advanced analytics so business users can enjoy the benefits of smart data discovery using natural language searches. Simply enter the query in natural language and let the system do the rest. Your users to not need to involve data scientists or ask IT professionals to create a report. They can do it themselves!

‘Clickless analytics and natural language processing (NLP) provides your business users with tools that help them to quickly gather data and integrate that data from disparate sources, and then analyze the data using natural language.’

Explore the benefits of Smarten Clickless Analytics and watch this video to discover how Clickless Analytics and the Smarten suite of augmented analytics can support your business users with self-serve tools that are intuitive and will encourage user adoption and fact-based decision-making.

Clickless Analytics in Augmented Analytics Solution Supports Users with Simple Searches and Results

Clickless Analytics provides seamless augmented analytics and advanced data discovery, using machine learning and natural language processing (NLP), 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). Smarten Clickless Analytics and the Smarten suite of augmented analytics can support your business users with self-serve tools that are intuitive and will encourage user adoption and fact-based decision-making.