NO OBLIGATION • TECHNICAL AUDIT INCLUDED
Industry: SaaS
Services: Data Engineering • BI • Analytics • Automation
The Challenge
A fast-growing SaaS company struggled with fragmented sales data across their CRM, ERP, and marketing systems. Reporting cycles took days, and leadership lacked real-time visibility on revenue, conversion, and regional performance.
What We Delivered
Integrated CRM + ERP + marketing data into a unified warehouse
Built automated ETL pipelines using dbt + Fivetran + Snowflake
Designed a real-time Tableau dashboard for revenue tracking
Implemented anomaly detection for forecasting variance
The Outcome
Reporting time reduced from 3 days to 15 minutes
Revenue forecasting accuracy improved by 28%
Leadership gained a single source of truth across all sales channels
Industry: Financial Services
Services: Data Architecture • Engineering • Governance • Cloud
The Challenge
The client relied on legacy data infrastructure that limited performance, scalability, and compliance. Expanding analytics capabilities was impossible without major architectural change.
What We Delivered
Designed a secure cloud data architecture on AWS
Built scalable ingestion pipelines using Kafka and Spark
Implemented governance, lineage, and access control
Migrated historical datasets with zero downtime
The Outcome
90% reduction in infrastructure maintenance overhead
4 x faster data processign speeds
Full regulatory compliance using automated data governance controls
Industry: E-commerce
Services: Machine Learning • Data Engineering • Personalization
The Challenge
The client needed to understand customer behavior and deliver personalized product recommendations to improve retention and conversion rates.
What We Delivered
Cleaned and unified customer data across channels
Built ML models for segmentation + recommendation
Created an MLOps pipeline for continuous retraining
Integrated insights directly into the client's marketing engine
The Outcome
+17% increase in repeat purchases
22% higher average order value
Marketing spend efficiency improved by 34%
Industry: Transport & Logistics
Services: Data Pipelines • Real-time Analytics • Could Engineering
The Challenge
The logistics team relied on manual tracking, leading to delays, blind spots, and costly operational inefficiencies.
What We Delivered
Streaming data architecture with real-time events
Custom dashboards for operations, routing, and SLA monitoring
Automated alerts for delays, anomalies, and capacity gaps
Integrated IoT/device data for end-to-end visibility
The Outcome
Delivery delays reduced by 41%
Operational efficiency improved by 30%
Real-time visibility across entire fleet and warehouse operations
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