Clickless Analytics and NLP Search Ensures User Adoption of Analytics!

NLP Search and Clickless Analytics Improves User Adoption

It’s human nature! People will always find the easiest way to do something and stick to that approach. So, if you are considering a self-serve approach to analytics in your organization, and you want to democratize data and improve data literacy, you can’t give your business users yet another complex solution to learn, yet another system to navigate, yet another task to perform.

If you want your users to adopt an augmented analytics solution to improve your Return on Investment (ROI) and keep your Total Cost of Ownership (TCO) down, you have to give them tools they will WANT to use.

The technology research firm, Gartner, states that, ‘75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.’

If you can bring together those data hubs into one, easy-to-use solution, your users will be able to perform tasks more quickly, get results and move on to the next thing.

Natural Language Processing Search Analytics (NLP) is a crucial component of this approach to augmented analytics. This type of 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, so your team members will want to adopt and use the solution on a daily basis.

‘Clickless Analytics, machine learning and natural language processing create a self-serve environment and democratize analytics.’

Advanced analytics with Natural Language Processing (NLP) provides a Google-type interface so users can enter a question using common human language. Your team can enter a context-based search query in natural language – say, perhaps, ‘which sales rep had the most bakery sales in the Southwest in April of 2022?’, 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.

Improve ROI and TCO with NLP Search Analytics

Clickless Analytics uses machine learning and natural language processing (NLP), in a self-serve environment and democratizes advanced analytics so your team can enjoy the benefits of natural language searches, and your enterprise can effectively democratize data and encourage the use of analytics for fact-based decisions.

‘If you want your users to adopt an augmented analytics solution to improve your Return on Investment (ROI) and keep your Total Cost of Ownership (TCO) down, you have to give them tools they will WANT to use.’

This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

Find out how self-serve Augmented Analytics Products, and  Clickless Analytics And Natural Language Processing (NLP) can help you achieve your goals, support your business users and improve ROI and TCO.

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