Data Stack
Modularized implementation of the best-in-class tools of the modern data stack
ELT data pipeline
data warehouse
data transformation
data visualization
Code-first development borrowing best practices from software engineering
Customized solutions according to your business needs, emphasizing the data transformation layer
Data Processes Consulting
Data lifecycle management
Raw data to transformed and tested data
Transformed data to insight
Insight to distributed knowledge
Cross-team collaboration and goal-alignment
Testing, monitoring, and incident response procedures
Data organization scaling and recruiting
Operational Insights
Foundational interactive dashboards for recurrent use
Data integration across various source systems
Data models to support exploratory analysis
Forecasting and customer projections
But is it really worth the effort?