DataDrive Analytics Platform Enterprise Data Engineering
Project Snapshot
Industry
Data Analytics · SaaS · Enterprise
Service Categories
Data Engineering · Web Development · Backend Engineering
Tech Stack
Python, Node.js, React, PostgreSQL, AWS, ETL Pipelines
Users
Analysts, Management Teams, Data Operators
Duration
5 Months
Status
Launched & Scaled
About DataDrive Analytics Platform
DataDrive is a data consolidation and analytics platform designed for organizations needing real-time insights, predictive intelligence, and unified reporting.
Their existing tools involved manual spreadsheets, disconnected data sources, and slow decision cycles.
Inexture built a modern analytics platform that centralizes data, processes millions of records, and provides rich dashboards for leadership teams.
Project Requirements
- Consolidate data from multiple sources (APIs, files, CRMs, databases)
- Build a secure data warehouse and real-time ETL pipelines
- Deliver actionable dashboards and visualizations
- Automate reporting cycles
- Ensure high performance for large datasets
- Provide role-based access and data permissions
- Enable drill-down analytics for managers
- Provide cloud-native scalability
Challenges We Solved
- Highly fragmented data across systems
- No unified schema or normalization process
- Manual reporting taking days
- Heavy load queries slowing performance
- Need for multi-role access
- Complex data models requiring transformation logic
- Real-time ingestion required near-zero downtime
Our Solution & Engineering Approach
Inexture delivered a high-performance data analytics platform with automated ingestion, advanced dashboards, and rich insights.
- Real-time ETL Pipelines for ingesting API & file data
- Unified Data Model to normalize inconsistent structures
- Interactive Dashboards built with React + visualization libraries
- Role-Based Access Control (RBAC)
- Searchable filters for deep analytics
- Automated scheduled reports (daily/weekly/monthly)
- Drill-down, cross-filtering charts for fast analysis
- Performance Layer with caching for large volumes
DataDrive Analytics Platform - Data Architecture
A data architecture showing how sources, transformations, and analytics layers combine to enable reliable reporting and decision-making at scale.
Technology Stack
A robust and scalable technology foundation powering seamless performance and future-ready growth
- Python
- Node.js microservices
- Responsive PWA-friendly UI
- PostgreSQL
- Redis Cache
- AWS S3
- React.js
- Chart.js
- HighCharts
- AWS EC2
- AWS CloudWatch
- CI/CD Pipeline
- JWT Authentication
- Encrypted REST APIs
- Secure Data Access Policies
Analytics Platform - System & Infrastructure Architecture
An infrastructure architecture covering ingestion, storage, compute, dashboards, and monitoring – built for consistent analytics performance and scalability.
Measurable Outcomes
- 85% faster insight generation via automated dashboards
- Real-time data updates instead of manual refresh
- Data from 10+ sources unified into a single platform
- 60% reduction in reporting time for management
- Scalable cloud-native architecture enabling future growth
- Improved decision-making accuracy through clean, normalized data
Industries We Serve
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