A successful data observability program depends on effective strategic planning, program design, and execution. A cross-functional team, comprising one or more data leaders, data engineers, governance professionals, and data consumers, should establish their strategic objectives as well as the organizational and architectural control points that can help them achieve those objectives. The control points might center on a specific data engineering team, set of pipelines, or data repository.
When the team designs their program, they should identify how to adapt their architecture, what type of data observability tool can help them do this, and what achievable milestones can best gauge the success of their implementation. Successful program execution requires implementing new tools without harming existing data flows and processes. As team members measure their success and learn, they must stay ready to adapt the program for continuous improvement.
A successful data observability program depends on effective strategic planning, program design, and execution.