Measuring the Value of Natural
Language Query Implementation
over a Semantic Layer

This white paper outlines a structured method for assessing the real benefits of implementing NLQ, helping your organization promote widespread data discovery and analysis.

It explains how standardized vocabularies and semantic technologies improve contextual understanding, ensure consistent data interpretation, and support advanced analytics.

A real-world case study demonstrates how a large, multi-entity organization overcame data access and usability hurdles with NLQ.

Download this white paper to learn about: 

• How NLQ changes data interaction by removing the need for technical query skills and broadening data access.
• A practical example showcasing the challenges faced by a multi-entity organization and how NLQ offers solutions.
• The benefits of semantic-enhanced NLQ, including improved contextual understanding, advanced querying, and data quality.
• A framework to quantify the value NLQ adds to key performance indicators in data discovery, analytics, and interpretation.