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Today, business intelligence (BI) specialist ThoughtSpot hosted its “Beyond 2023” customer conference, where it announced new product features aimed at simplifying analytics for business users.
Much of the conversation revolved around consuming insights via AI. The company also detailed notable accessibility features, including a mobile-friendly way to experience analytics and integrations to gather insights into where teams work.
“Each of the new enhancements in this launch embraces the future of AI-powered analytics and enables organizations of all sizes to experiment, collaborate, model and access data in new ways that are personalized to the user and increase productivity” , said Sumeet Arora, chief development officer of ThoughtSpot.
Here is a rundown of the main developments:
Query data with natural language prompts
ThoughtSpot led the discussion on simplifying analytics by speaking about Sage, its new LLM-based research experience. First announced in March, Sage offers business users a chat experience where they can type natural language prompts to query data for text or visual information. Combine key templates, including GPT-3, with ThoughtSpot’s patented search technology to convert prompts to SQL and produce answers with accuracy and reliability.
The company said that Sage can deliver results in seconds and includes related suggestions to dig deeper into the information provided. Users also have the ability to provide feedback by correcting keyword tokens, further training the system to learn and correct future queries. The technology is in private preview, with ThoughtSpot planning to open access gradually. It said the solution will initially be available to all current and new users of its platform’s Trial and Team editions.
Stay up-to-date via Mobile Monitor
Later, ThoughtSpot launched a mobile-first analytics feature called ThoughtSpot Monitor for Mobile. This dedicated feature within the ThoughtSpot app allows users to subscribe to KPIs and automatically get notified on their mobile devices as these metrics change, while also receiving an explanation of the drivers behind that change. This ensures that teams can make decisions when and where needed.
To provide explanations, ThoughtSpot uses artificial intelligence. First, analyze the attributes behind each KPI and use machine learning to identify what’s driving the changes. Then, with the help of Generative AI, it provides an explanation, helping 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 number of integrations to help teams leverage insights right where they work. These include a connector that allows users to share links from ThoughtSpot Liveboards and generate preview previews in Slack; an interactive AI assistant called Spot for querying data in natural language via Slack; and ThoughtSpot Analytics for Excel, Google Sheets, and Slides.
ThoughtSpot Analytics for Sheets is available starting today, with the rest of the features in preview and expected to roll out at a later date.
New tools for collaborating on ThoughtSpot liveboards
ThoughtSpot is also doing its thing Liveboards (ThoughtSpot’s version of a dashboard) more collaborative, with new features like note tiles, cross-filtering, and metrics. Note boxes can be used to add details such as branding, explanations or context. Filters can help ensure consistency in your analysis, while metrics can be used to conduct a “what-if” scenario analysis.
The company is also rolling out an in-app comments system to promote feedback, collaboration, and brainstorming, as well as verified Liveboards to increase transparency and trust for end users.
Visual data modeling for analysis
Finally, the company has updated its data workspace with a new data modeling studio, an offering that provides a drag-and-drop visual interface and a guided user interface to simplify data modeling for analysis .
With this solution, ThoughtSpot says, users can inherit existing joins from their database or create new joins via a guided user interface; build search guardrails by dragging and dropping relevant columns into their template; and scale data literacy across the enterprise by adding custom formulas, adjusting attributes, and configuring column properties.
Point of thought Beyond 2023 it runs virtually from May 9 to 10.
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