Data and Analytics for Transformation Questions

Covers the end to end data and analytics considerations needed to measure and guide transformation initiatives. Topics include data architecture patterns such as data lakes and warehouses, event streaming and real time processing, batch pipelines, instrumentation strategies to capture adoption and impact signals, data pipeline design, analytics model selection, process mining techniques to discover current state and bottlenecks, visualization and dashboard design for executive and operational reporting, data quality and lineage, and tool selection and tradeoffs for analytics and reporting.