Search-Driven Business Analytics by Unknown

Author:Unknown
Language: eng
Format: epub, mobi

Interpreting User Input

Let’s see how the solutions in this report handle use questions. Power BI and Adatao estimate what a user’s intent is using natural language processing (NLP) techniques. They accept a range of relatively free text and resolve ambiguities by examining the context of the words used.

ThoughtSpot, on the other hand, chose not to use NLP in order to remove any chance of ambiguity. ThoughtSpot’s search engine guides the user as they type with intelligent search suggestions, making sure that the user’s intent and the search engine are always in sync. As such, ThoughtSpot is always able to provide a single, accurate result, rather than a list of probabilistic answers.

All of these tools are fault-tolerant at the user-input level, allowing users to get to answers even with misspellings, changed word orders, or incorrect grammar. The tools can execute the kind of type-ahead autocomplete that Google has made familiar (see Figure 5).

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