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While self-service analytics is typically a key goal for modern organizations to derive more answers from data, only two out of five (40%) report their analytics users can analyze data without help from IT, according to Ventana Research.
To help those without training better analyze data, tools like natural language query (NLQ) allow you to ask questions of your data, receive a best practice chart or report that answers your query, and provides a deeper level of understanding.
NLQ tools typically come as a free text search bar, but the latest type, Guided Natural Language Query, extends its potential by taking a guided approach to self-service BI. One such example is Yellowfin Guided NLQ, which helps you build your question, know what to ask, and how to pose it, step-by-step, acting as a simpler way for anyone of any skill level explore their data, and get more relevant answers.
In this free whitepaper, we explain:
This guide will assist you in understanding the benefits of Guided NLQ and its significant impact in opening up true self-service BI for everyone - not just analysts.