Sisense pitches its predictions for tech in 2025.
Ariel Katz, CEO
- The Demise of Traditional BI: API-First and GenAI Integrate Analytics into Every App: “In 2025, traditional BI tools will become obsolete, as API-first architectures and GenAI seamlessly embed real-time analytics into every application. Data insights will flow directly into CRMs, productivity platforms, and customer tools, empowering employees at all levels to make data-driven decisions instantly—no technical expertise needed. Companies that embrace this shift will unlock unprecedented productivity and customer experiences, leaving static dashboards and siloed systems in the dust.”
- The Semantic Layer Becomes the Enabler for LLMs in Enterprises: “In 2025, the Semantic Layer will become the crucial enabler for LLMs in enterprises, acting as a bridge between internal data and LLMs to deliver precise, contextually relevant insights. By unifying enterprise data with global knowledge, this integration will revolutionize decision-making and productivity, making GenAI indispensable. Companies that embrace this convergence will dominate in innovation and customer experience, leaving competitors behind.”
- Data Literacy Becomes a Mass Movement—Empowered by Composable Apps: “In 2025, a mass data literacy movement will take hold, driven by composable apps that seamlessly integrate real-time analytics into everyday experiences. Consumers will actively engage with data on energy usage, shopping habits, and sustainability through intuitive, user-friendly platforms. Companies that simplify data reporting and empower users will thrive, while those relying on opaque, complex reports will face a consumer backlash demanding transparency.”
Yigal Edery, SVP Product & Strategy
- AI as an Upskilling Tool for Analytics Teams: “In the coming year, AI will completely redefine analytics teams, enabling even non-technical members to master advanced analytics tasks. AI-driven tech approaches will dismantle traditional skill silos, empowering everyone from product managers to end-users to actively contribute to complex data projects. This shift will not only boost productivity but also foster a culture of seamless collaboration, accelerating innovation across organizations.”
- No-Code / Pro-Code Analytics Boundaries Will be Shattered: “In 2025, the boundary between no-code and pro-code analytics will dissolve entirely. By empowering product managers to generate 80% of analytics content and enabling developers to fine-tune it, AI-driven platforms will spark a revolution in analytics development, slashing development cycles and maximizing team efficiency. This game-changing approach will redefine how companies integrate analytics, making data-driven decision-making more collaborative and accessible than ever before.”
Ronen Rubinfeld, SVP of Engineering
- Human-Centric Leadership Will Define AI Adoption: “As AI technologies become more pervasive, successful companies will prioritize leadership that balances technological advancement with human expertise. By fostering trust, collaboration, and empowerment within teams, businesses will effectively integrate AI while maintaining human creativity as a core differentiator.”
- Self-Serve Analytics Will Become the Norm for End-Users: “The growing demand for user empowerment will drive a shift towards self-serve analytics. Businesses will increasingly enable their customers to build and customize their own dashboards, making data more accessible and valuable at every level of the user experience.”
