All customer stories
AI & analytics
Market decisions in days instead of weeks, 80% faster with AI
A $500M pharma company built an AI-ready market database from 20+ sources.
About the client
- Industry
- Pharma
- Size
- $500M revenue
- Timeline
- [X weeks]
The challenge
The company needed one market research database built from 20+ sources: diseases, drugs, regulatory approvals, country demographics, bidding opportunities and competitor benchmarks, in Excel, PDF, text and web formats. It also needed feasibility analysis on top.
What it meant for the team
CFO
Market entry decisions waited weeks for research.
FP&A
Feasibility models ran on messy, manually updated data.
Business teams
Complex data out of reach for non-technical users.
How we delivered it
- Step 1[X weeks]
Advise and design
- Defined the end-to-end cloud strategy and architecture for the tool
- Step 2[X weeks]
Build and automate
- Automated pipeline to scrape, clean and enrich 20+ sources
- Real-time data model and Power BI dashboards with Ask-a-question
- RAG-based AI chat, insights and simulations for feasibility analysis
- UI-driven database updates with an audit trail
- Step 3[X weeks]
Launch and embed
- [Add go-live, training and adoption details]
Total timeline: [X weeks]
Solution stack
Advisory services
- Cloud strategy
- Data architecture
Data sources
- 20+ sources: web, PDF, Excel, text
Storage and transformation
- Automated scraping and cleaning
Logic and workflow
- Real-time data model
- Decision simulations
Insights delivery
- Power BI Q&A
- RAG AI chat
Impact
80%
shorter decision cycles
90%
fewer data errors
70%
less time on database updates
Outcomes
- Non-technical teams query complex data in plain English
- Potential new revenue from new markets and better-timed launches
