Service 1
Enterprise data project lifecycle management
We use a rigorous waterfall–agile hybrid model so every step has clear deliverables and every phase has strict quality gates.
Services
Services & solutions
From enterprise architecture planning to industry data warehouse and BI delivery—and post-launch operations support.
Service 2
Pharma data warehouse & BI analytics
Built on industry data sources such as IMS and CPA, covering sales KPI, behavior KPI, listing KPI, inventory turnover, forecast achievement, and other multi-dimensional metrics.
Service 3
High-availability operations (SLA)
Three months of free warranty after delivery; ongoing paid technical support thereafter. See tiered response standards on the Support page.
Pipeline
Project delivery spine
Requirements & planning → dimensional modeling / warehouse review → ETL design & demo audit → system testing / go-live decision → follow-up / acceptance & operations.
RequirementsScope & plan confirmation
ArchitectureModeling & warehouse review
ETL buildDemo audit & iteration
Test & launchSystem testing & sign-off
Follow-upAcceptance & ongoing support
Why Warehouse
Why build a pharma data warehouse
01
Cross-subject analytics
Enable analysis across customer, product, region, and time—without pulling ad hoc data from each business system.
02
High scalability
Flexibly adapt to future system changes and new analytical themes.
03
Historical asset retention
Unified historical data as a foundation for future AI forecasting and external system integration.
04
Maintainability
Keep the overall system maintainable and reduce long-term operations cost.
Engage
Need to assess your current data stack?
We can start with a metrics inventory and architecture review.