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Today, business intelligence (BI) specialist ThoughtSpot hosted its “Beyond 2023” customer conference, where it announced new product capabilities aimed at simplifying analytics for business users.
A large part of the conversation revolved around the consumption of information through AI. The company also detailed notable accessibility features, including a mobile-friendly way to experience analytics and integrations to gain insight into where teams are working.
“Each of the new enhancements in this release embrace the future of AI-powered analytics, enabling organizations of all sizes to experiment, collaborate, model, and access data in new ways that are personalized to the user and increase productivity. productivity,” said Sumeet Arora, director of development at ThoughtSpot.
Here is a summary of the key developments:
Query data with indications in natural language
ThoughtSpot led the discussion on simplifying analytics by talking about Sage, their new LLM-based search experience. First announced in March, Sage provides business users with a chat experience where they can type natural language prompts to query data for visual or text information. It combines foundational models, including GPT-3, with ThoughtSpot’s proprietary search technology to convert prompts to SQL and generate answers accurately and reliably.
The company said that Sage can provide results in seconds and includes related suggestions to deepen the insights provided. Users also have the ability to provide feedback when fixing keyword tokens, further empowering the system to learn and fix future queries. The technology is in private preview, with ThoughtSpot planning to open up access gradually. He said the fix will initially be available to all current and new users of the Trial and Team editions of his platform.
Stay informed through Monitor for Mobile
Next, ThoughtSpot debuted a mobile analytics feature called ThoughtSpot Monitor for Mobile. This dedicated feature within the ThoughtSpot app allows users to subscribe to KPIs and automatically receive notifications on their mobile devices as these metrics change, and also receive an explanation of the drivers behind that change. This ensures that teams can make decisions when and where needed.
To provide explanations, ThoughtSpot uses AI. First, it looks at the attributes behind each KPI and uses machine learning to identify what is driving the changes. Then, with the help of generative AI, it provides an explanation that helps users understand what changed and why, and what they should do in response. The feature is currently in preview, but ThoughtSpot says it will be available in the coming months.
New integrations, including an AI assistant in Slack
The business intelligence leader also announced a series of integrations to help teams harness insights right where they work. These include a connector that allows users to share ThoughtSpot Liveboards links and generate visualization previews in Slack; an interactive AI assistant called Spot for querying natural language data via Slack; and ThoughtSpot Analytics for Excel, Google Sheets, and Slides.
ThoughtSpot Analytics for Sheets is available starting today, while the rest of the capabilities are in preview and scheduled to roll out at a later date.
ThoughtSpot is also doing its surfboards (ThinkSpot’s version of a dashboard) more collaborative, with new features like note tiles, cross filters, and parameters. Note tiles can be used to add details like branding, explanations, or context. Filters can help ensure consistency in analysis, while parameters can be used to perform what-if analysis.
The company is also rolling out an in-app comment system to promote feedback, collaboration, and brainstorming, as well as verified Liveboards to increase transparency and end-user trust.
Visual data modeling for analysis
Finally, the company updated its data workspace with a new data modeling studio, an offering that provides a visual drag-and-drop interface and a guided user interface to simplify data modeling for analytics.
With this solution, ThoughtSpot says, users can inherit existing joins from their database or create new joins through a guided user interface; build railings for the search by dragging and dropping relevant columns into your model; and scale data literacy across the enterprise by adding custom formulas, adjusting attributes, and setting column properties.
thinking point Beyond 2023 runs May 9-10, virtually.
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