Coaching for Data, Analytics, AI Leaders (11–20)
Principles and patterns to build winning performance+team
If you are leading teams responsible for Data, Analytics, Data Science, or AI — this blog series is for you! Throughout my career leading teams in Data Engineering, Data Analytics/Science, and AI in both startup and large company environments, I have uncovered principles and patterns that have proven to be effective. In this series, I will be sharing these principles and patterns.
#11 Establish clear Service Level Agreements (SLAs) for data
For business-critical metrics/dashboards/models, ensure there are clear Service Level Agreements (SLAs) established with source data teams. SLAs need to include refresh lags, quality checks, incident response times.
#12 Establish a clear promotion process to solidify insights and models
Metrics and dashboards typically begin as prototypes, but eventually, the business begins to use them and rely on them for decision-making. To ensure accuracy and consistency, it is…
