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Monday, 06 December 2021 10:19

Users can now ask data questions in plain language with Yellowfin’s Guided Natural Language Query

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Analytics vendor Yellowfin launches Guided Natural Language Query, leveraging natural language processing to enable anyone—regardless of skill level and expertise—to ask data questions in plain language and receive answers instantly.

Guided NLQ is part of Yellowfin’s latest release, Yellowfin 9.7, which also launched today.

With Guided NLQ, analytics consumers are guided every step through thousands of modelled question types and sequences. They can ask questions such as, “Show sales by product category and highlight outliers for this month” in plain language of their data.

Yellowfin provides a practice visualisation and report, overlaying automated analysis where necessary. Integrated throughout the Yellowfin platform, consumers can explore answers in further detail in the Advanced Report Builder, and even add them into existing Yellowfin content such as dashboards, stories, and present.

“As business complexity increases, so does the demand for a simplified analytics experience for the augmented consumer," concludes Yellowfin CEO Glen Rabie.

“There is significant demand from companies looking to shift analytical capabilities previously only available to analysts to the business user, and Guided NLQ delivers exactly that for true self-service analytics. Combined with signals and stories, we see Guided NLQ as the final piece in the puzzle of making analytics more consumer-focussed, fulfilling the need for insights that are automated, contextual to our users’ context and delivered in an experience that makes the most sense for them."

Guided NLQ is available at no additional cost as part of the Yellowfin platform.

Additional key areas of enhancements in Yellowfin 9.7 are:

Mobile App now supports multi-chart canvas and tabular reports, enabling consumers to view all reporting content — both generated manually by users and automatically by Guided NLQ—across devices with new drill, filter, search and share interactions.

Dashboard and present widgets have been enhanced with a new click event, Ask Question, allowing consumers to go from seeing dashboard and presentation data to asking their next question by clicking on action buttons and directly engaging Guided NLQ.

Stories now include Guided NLQ integration, enabling authors to perform natural language queries during Story creation and embedding the answers directly into their stories.


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Kenn Anthony Mendoza

Kenn Anthony Mendoza is the newest member of the iTWire team. Kenn is also a contributing writer for South China Morning Post Style, and has written stories on Korean entertainment, Asian and European royalty, Millionaires and Billionaires, and LGBTQIA+ issues. He has been published in Philippine newspapers, magazines, and online sites: Tatler PhilippinesManila BulletinCNN Philippines LifePhilippine StarManila Times, and The Daily Tribune. Kenn now covers all aspects of technology news for iTWire.com.

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