Case Studies
Real Problems.
Real Results.
From startups just like yours — see how we turned data challenges into competitive advantages.
Investor-Ready Data Warehouse for a B2B SaaS Startup
A 30-person B2B SaaS company approaching their Series A had data scattered across Salesforce, HubSpot, Stripe, and three separate databases — making consistent investor metrics impossible.
Challenge
Siloed data across 5+ systems, manual reporting taking 2 days per cycle, no single source of truth.
Solution
Cloud data warehouse on BigQuery, dbt transformations, Power BI dashboard with 40+ investor-grade metrics.
Duration
8 weeks · Project-based
Services
Data Engineering · Business Intelligence · Consulting
Real-Time Sales Dashboard for a Fast-Growing D2C Brand
A D2C e-commerce startup with 3x YoY growth was making inventory and marketing decisions based on day-old spreadsheet data — with no unified view across sales, inventory, and ad spend.
Challenge
Day-old data, manual spreadsheets, no unified view across Shopify, Meta Ads, and WMS.
Solution
Real-time ETL pipeline into Snowflake, Tableau dashboard refreshing every 15 minutes.
Duration
6 weeks · Project-based
Services
Data Engineering · Business Intelligence
Compliance-Ready Transaction Analytics for a Payments Startup
A payments startup needed transaction data pipelines that were both analytically powerful and compliant with RBI regulatory requirements — their existing setup was not audit-ready.
Challenge
Non-compliant storage, no audit trail, fragile pipelines with frequent failures.
Solution
Redesigned pipeline with full audit logging, immutable event store on AWS, compliance reporting in Metabase.
Duration
10 weeks · Project + retainer
Services
Data Engineering · Consulting
Data Strategy for an Early-Stage HealthTech Startup
A seed-stage HealthTech startup wanted expert guidance on data architecture before writing a single line of infrastructure code — avoiding the costly mistakes most startups make early on.
Challenge
No data architecture in place, unsure which tools to use, concerned about DPDP Act compliance.
Solution
4-week consulting engagement: tech stack selection, architecture blueprint, data governance framework, team training.
Duration
4 weeks · Consulting
Services
Data Consulting
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