Wiiisdom for Tableau AI
Embrace the AI wave with confidence.
Champion the AI Revolution
In the fast-paced world of data analytics, trust is paramount. Wiiisdom for Tableau ensures that your AI-driven insights and predictions are reliable by rigorously quality-checking the data sources upon which Tableau AI is built. By dynamically running data reconciliation, we certify data sources, validate data recency, and check them against business rules to detect anomalies. This mitigates risks, reduces distrust, and fosters innovation.
Set the Standard for Reliable Dashboards
With the proliferation of dashboards, it can be difficult to discern which ones are trustworthy. The advent of Gen-BI (embodied by Tableau Pulse) exacerbates this problem, as it becomes increasingly easy for each user to develop and publish new BI content. Wiiisdom allows you to establish a visual standard, enabling users to easily identify reliable dashboards and data sources. This not only strengthens user trust but also promotes the adoption of Tableau Pulse.
Set the Standard for Reliable Dashboards
With the proliferation of dashboards, it can be difficult to discern which ones are trustworthy. The advent of Gen-BI (embodied by Tableau Pulse) exacerbates this problem, as it becomes increasingly easy for each user to develop and publish new BI content. Wiiisdom allows you to establish a visual standard, enabling users to easily identify reliable dashboards and data sources. This not only strengthens user trust but also promotes the adoption of Tableau Pulse.
Automate Testing for Trusted Insights
Automated testing on Tableau data sources is at the heart of Wiiisdom’s approach. By ensuring that Tableau AI constantly delivers trusted generative insights and predictions, we empower organizations to leverage the full potential of their data. This robust testing framework supports the seamless integration and adoption of Tableau Pulse, driving innovation and efficiency across your analytics ecosystem.
“With growing regulation tied to AI, analytics governance is now required, not a nice-to-have.” Gartner®
Source: Gartner, Hype Cycle for Data and Analytics Governance 2024, Guido De Simoni, Andrew White, 18 June 2024. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
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Wiiisdom for Tableau AI
Ensuring Tableau Pulse Quality: The Role of Automated Data Source Testing with Wiiisdom
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