From Detection to Decision: Why Data Observability Is Becoming Core to Enterprise Transformation
From Detection to Decision: Why Data Observability Is Becoming Core to Enterprise Transformation
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Enterprise data architectures have changed.
Federated ownership, AI adoption, and domain-driven data products are now the norm across retail, financial services, media, and manufacturing. Yet one challenge persists across every transformation programme: decision trust.
Most observability platforms detect technical anomalies. Very few translate those signals into business impact, governance alignment, and safe-to-act intelligence.
For system integrators, this shift creates both risk and opportunity.
In this session, we will explore:
- Why detection alone is no longer sufficient
- Where modern data mesh and federated architectures break
- How decision-centric observability reduces delivery risk and unlocks recurring services
- How Sifflet partners co-sell, deliver, and scale observability programmes
- The commercial and enablement model behind our 2026 Partner Program
If you are delivering enterprise data platforms and want to embed decision trust into every transformation, this session is for you.
Speaker
Sifflet is a leading data observability platform that helps companies see data breakthroughs. Customers like the BBC, Penguin Random House, Carrefour, and Adaptavist rely on Sifflet to uncover, prevent, and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.
Speaker
Sifflet is a leading data observability platform that helps companies see data breakthroughs. Customers like the BBC, Penguin Random House, Carrefour, and Adaptavist rely on Sifflet to uncover, prevent, and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.
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