For smaller teams, simplicity and clarity are key. Implementing lightweight data observability dashboards and using tools that support real-time alerts and Slack notifications can help them stay agile without feeling overwhelmed. Also, defining clear roles and giving access to self-service tools boosts autonomy and satisfaction.

If your team already uses ServiceNow for incident management, having your data alerts show up there means fewer missed issues and faster resolution times. It brings transparency to your data pipelines and supports better data governance and trust.

After evaluating several data catalog vendors, jobvalley selected Sifflet because of its comprehensive features that addressed both data discovery and data quality monitoring. The platform’s ability to streamline onboarding and support real-time metrics made it the ideal choice for their growing data team.

Data lineage is a visual map that shows how data flows from its source through transformations to its final destination, like dashboards or ML models. It's essential for data teams because it enables faster root cause analysis, improves data trust, and supports smarter change management. When paired with a data observability platform like Sifflet, lineage becomes a powerful tool for tracking data quality and ensuring SLA compliance.

By rebuilding their pipelines with strong data pipeline monitoring, Dailymotion reduced storage costs, improved performance, and ensured consistent access to delivery data. This helped eliminate data sprawl and created a single source of truth for operational teams.

Data lineage tracking is essential for understanding where your AI training data comes from and how it has been transformed. With Sifflet’s field-level lineage and Universal Integration API, you get full transparency across your data pipelines. This is crucial for meeting regulatory requirements like GDPR and the AI Act, and it strengthens your overall data governance strategy.

Data observability helps Shippeo’s Customer Experience team respond quickly to issues like missing GPS data or unusual spikes in transport orders. Real-time alerts empower them to act fast, communicate with customers, and keep service levels high.

At Sifflet, data security is built into the foundation of our data observability platform. We follow three core principles: least privilege, no storage, and single tenancy. This means we only use read-only access, never store your data, and isolate each customer’s environment to prevent cross-tenant access.