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Ken Yeung@Ken Yeung
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Salesforce is enhancing its Tableau platform with agentic analytics through Tableau Next, aiming to provide smarter business intelligence. This new offering leverages AI to analyze data more effectively and deliver actionable insights to executives, enabling them to make more informed and faster decisions. Tableau Next is designed to address the growing gap between the need for data-driven insights and the confidence business leaders have in their organization's data. According to a recent Tableau study, many leaders feel their jobs depend on data literacy, yet only half are confident in finding or interpreting the data they need.
Tableau Next uses agentic analytics, which involves AI agents examining data and allowing users to engage with it using natural language prompts to uncover answers. Unlike rules-based systems, these responses are generated using reasoning. Southard Jones, Tableau’s chief product officer, emphasizes that Tableau Next is not a separate platform but an extension of the existing Tableau platform, allowing users to leverage their existing work. The platform features an open, composable architecture, AI-powered semantic layer, and the ability to embed trusted insights directly into existing dashboards and applications, speeding up the entire data-to-action workflow.
In addition to Tableau Next, Salesforce is also utilizing agentic AI in other areas. Agentforce is being used to automate tasks such as code writing, with AI now writing 20% of Salesforce's code. This helps developers shift from purely technical roles to more strategic ones, focusing on customer needs and business value. Furthermore, Air India has partnered with Salesforce to enhance customer service using agentic AI, automating refund requests to accelerate the resolution process and improve customer satisfaction.
ImgSrc: thelettertwo.co
References :
Tableau Next uses agentic analytics, which involves AI agents examining data and allowing users to engage with it using natural language prompts to uncover answers. Unlike rules-based systems, these responses are generated using reasoning. Southard Jones, Tableau’s chief product officer, emphasizes that Tableau Next is not a separate platform but an extension of the existing Tableau platform, allowing users to leverage their existing work. The platform features an open, composable architecture, AI-powered semantic layer, and the ability to embed trusted insights directly into existing dashboards and applications, speeding up the entire data-to-action workflow.
In addition to Tableau Next, Salesforce is also utilizing agentic AI in other areas. Agentforce is being used to automate tasks such as code writing, with AI now writing 20% of Salesforce's code. This helps developers shift from purely technical roles to more strategic ones, focusing on customer needs and business value. Furthermore, Air India has partnered with Salesforce to enhance customer service using agentic AI, automating refund requests to accelerate the resolution process and improve customer satisfaction.
ImgSrc: thelettertwo.co
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References :
- analyticsindiamag.com: Air India Partners with Salesforce to Improve Customer Service with Agentic AI
- Ken Yeung: Salesforce Supercharges Tableau With ‘Agentic Analytics’ to Deliver Smarter BI
- www.salesforce.com: Tableau Next leverages agentic analytics to allow users to collaborate with AI agents to speed up the entire data-to-action workflow
- Salesforce: Salesforce announcement on Tableau Next and its agentic analytics capabilities.
- Salesforce: Salesforce Redefines Business Intelligence with Tableau Next: AI Agents Transform How Businesses Turn Data into Action
Classification:
- HashTags: #AgenticAI #BusinessIntelligence #Salesforce
- Company: Salesforce
- Target: Business Executives
- Product: Tableau
- Feature: Agentic Analytics
- Type: AI
- Severity: Informative