How Can Clickless Analysis Help Business Users?

Clickless Analytics & NLP Search Analytics for Business Users!

What is Clickless Analytics and How Can It Help My Business?

Natural Language Processing Search Analytics (NLP) is a crucial component of search analytics and smart data discovery in today’s online and technology environment. Consumers and business users are very familiar with the search techniques used by online giants like Google and they expect and demand that same ease-of-use in apps and software designed for business user. 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 without the knowledge.

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What is Clickless Analytics? You Will LOVE it!

Advanced Analytics with Natural Language Processing!

Search Analytics that Works the Way Users Think!

Everyone knows how to ask a question using the Google search interface. It is easy because it allows the user to phrase the question using normal, human language. Imagine how few users Google would have if they required the user to know and use complex search queries to find a restaurant or locate a movie review!

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Why is Natural Language Processing Important?

Do I Need Clickless Search Analytics?

What is Clickless Analysis and Why Should I Care?

What is Clickless Analysis, and why is it important to your Advanced Analytics solution? Clickless Search 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).

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Explain NLP, Search Analytics and Clickless Analytics!

Search Analytics, NLP and Clickless Analytics

What Is: Search Analytics, NLP and Clickless Analytics Explained!

What is Search Analytics? When a business user or analyst employs search analytics, it is for the express purpose of gathering content and data from various sources to achieve an analytical outcome. The data is gathered by ‘searching’, often using natural language processing. The benefits of natural language processing are many.

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ElegantJ BI and Smarten Advanced Analytics at The Vibrant Gujarat StartUp & Technology Summit, Oct 11-13, 2018

ElegantJ BI and Smarten Advanced Analytics at The Vibrant Gujarat StartUp & Technology Summit, Oct 11-13, 2018

ElegantJ BI announces its participation in The Vibrant Gujarat StartUp & Technology Summit 2018, October 11 through October 13 at the Helipad Exhibition Centre in Gandhinagar, Gujarat, India. Clients, partners and technology innovators are invited to visit Stall No 36, in Hall #1 to experience the Smarten approach to advanced analytics.

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Advanced Analytics and Natural Language Processing!

Natural Language Processing for the Common Good!

Search Analytics is Not Rocket Science Anymore!

No business, large or small, can afford to employ the services of dozens of data scientists or professional analysts. Budgets are tight and there are so many places we need to spend our money to help the business success and grow.

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What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)

What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)

The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language.

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Clickless Analytics – Disambiguating George (Part 2 of ∞)

Clickless Analytics – Disambiguating George (Part 2 of ∞)

Does not look like a technical heading? It is as serious as my other stuff. And I have forgiven the definition of technical for being ambiguous. The problem for working in a Clickless world starts with the meaning as meant in the input. So, a simple phrase “come on George” Could mean multiple things. A classic problem which the bot engine developers are resolving by using patterns and machine learning. “Come on” said by a mother, boyfriend, boss, colleague, store keeper, the barista could mean entirely different things at different times depending on the previous sentences.

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Clickless Analytics – Augmented Analytics

Clickless Analytics – Augmented Analytics

Gartner recently released a paper on Augmented Analytics which is described as “An approach that automates insights using machine learning, and natural-language generation.”

So as a gyani disseminating free gyan on the internet, I have chosen to write a few words on this.

This blog post of mine is an extremely biased and opinionated post. This is because any attempt to be fair and unbiased would not be thought provoking. We believe in clickless analytics and path to that includes learning and responding, predicting and suggesting, warning and solving. So, some of the points in this article may sound contrary to these but are not.

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