Overview: Sisense for Cloud Data Teams and Knowi Platform as Business Intelligence Category solutions.

Sisense for Cloud Data Teams: Sisense for Cloud Data Teams offers AI-driven data and embedded analytics to enhance customer engagement. Faster, more confident decisions are enabled through its flexible and extensible platform.

Knowi Platform: Knowi is an augmented analytics platform that connects to any data source and exposes insights through AI. Key features include data blending, predictive analytics, and role-based permissions.

Sisense for Cloud Data Teams and Knowi Platform: Best activities based on customer satisfaction

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Applying your context and needs changes the comparison

Sisense for Cloud Data Teams in Action: Unique Use Cases

How efficiently Does Sisense for Cloud Data Teams manage your Competitive Intelligence?

What makes Sisense for Cloud Data Teams ideal for Engagement Management?

What Are the key features of Sisense for Cloud Data Teams for Training & Onboarding?

Knowi Platform in Action: Unique Use Cases

How does Knowi Platform facilitate White Labeling?

Integrations

Ecosystem partners each product commonly connects with.

Sisense for Cloud Data Teams

Slack
4.7
Intercom
4.5
Asana
4.4
MongoDB
4.5
Tray.ai
4.0

News

Latest Sisense for Cloud Data Teams news

From AI Adoption to Real Outcomes: New Sisense Research Reveals How Product Leaders Are Closing the Gap

Sisense released its 2026 State of Analytics report, highlighting challenges in operationalizing AI insights. The report, based on a survey of 267 product leaders, reveals barriers such as accessibility and integration issues. Despite increased AI adoption, 29% of initiatives fail to progress beyond pilot stages. The report emphasizes the need for embedded, AI-powered analytics to enhance decision-making within workflows.

29/04/2026 - source

Latest Knowi Platform news

Connect Gorgias to Knowi via REST API

Knowi has integrated with Gorgias via a REST API, enabling users to pull support ticket data into Knowi's platform. This integration uses basic authentication and Cloud9QL transformations to convert nested JSON responses into flat rows, facilitating easier data management and analysis.

18/06/2026 - source