Brand Tracking Analytical Product
A scalable self-service brand intelligence platform
Client: Leading Market Research Agency, USA
6 months
to MVP, with clients onboarded
Self-service
analysis instead of a research project per question
Lakehouse
Medallion architecture on Azure PaaS
Challenge
Custom research studies were slow and expensive, which capped how far the business could scale and left small and medium clients out of reach. A syndicated brand tracking product had to reach MVP under a strict time-to-market constraint.
Solution
A platform on Azure PaaS built to Lakehouse and Medallion patterns: incremental ingestion, AI-based analytics and web access for clients. Self-service by design, and extendable to new data sources and markets without a rebuild.
Implementation
- 01Batch and incremental ingestion from APIs, RDBMS and files
- 02Brand equity algorithms and AI trend analysis integrated
- 03Microservices-based web UI with fast charts and subscription models
- 04NoSQL storage for read-optimized analytical output
- 05Self-service BI access and data exploration tools
- 06Secure SDLC with automated infrastructure and DataOps
Business impact
MVP delivered and clients onboarded within 6 months
A scalable post-MVP product, extended with new data sources and methods
Growth in client base and markets without performance loss
Technology stack
Have a complex system to build or modernize?
Tell us what must change. We will bring the relevant domain and engineering leads into the conversation.