Engineering the Foundation of Industrial Intelligence
Manusphere’s Data Engineering solutions transform fragmented data across OT, IT, and IoT systems into a unified, reliable foundation ready for analytics, AI, and real-time operational decisions.
Core Value Proposition
Single Source of Truth
We integrate data from all sources to create one reliable data layer, enabling powerful analytics.
Cloud & Hybrid Ready
Whether migrating to the cloud or managing hybrid systems, we design architectures that scale.
Automated Quality
We don't just move data; we cleanse, structure, and govern it to ensure accuracy.
The Challenge
Disconnected Data. Inconsistent Decisions.
Multiple Data Sources
Machines, sensors, ERPs, and field systems speak different languages. We break down these barriers to unify your operational view.
Siloed Storage
Data locked in local servers or isolated apps prevents cross-departmental visibility. We migrate and consolidate this into accessible, secure warehouses.
Manual Processing
Teams spend more time compiling reports than analyzing insights. We automate data refreshes so you always have the data you need, when you need it.
What We Deliver
Data Engineering That Powers Operational Excellence
We build and manage data pipelines, platforms, and architectures that make your industrial information clean, connected, and cloud-ready.
Service 1
Data Warehouse Design & Build
We design and deploy secure, scalable data warehouses (such as Google BigQuery) that serve as the central repository for all your operational intelligence.
Service 2
Cloud Migration & Modernization
We handle the complex migration of legacy on-premise databases to modern cloud environments, ensuring minimal disruption and maximum scalability.
Service 3
Data Quality & Cleansing
Raw data is often messy. We implement rigorous cleansing protocols to remove duplication, fill gaps, and ensure high-integrity data for your analytics models.
Service 4
Master Data Management (MDM)
We create consistent naming conventions, IDs, and metadata across your organization, ensuring that "Machine A" in maintenance is the same as "Asset A" in finance.
Service 4
Real-Time Integration Pipelines
We set up automated pipelines that ingest data continuously from IoT devices, ERPs, and external sources, ensuring your dashboards reflect reality.
Our Approach
A Structured, Secure, and Scalable Integration Framework
Step 1
Discover & Map
We identify every internal, IoT, and partner data source in your ecosystem.
Step 2
Design Architecture
We create logical and physical models for optimal storage, access, and security.
Step 3
Build & Automate
We use ETL/ELT frameworks to build seamless ingestion pipelines that run on autopilot.
Step 4
Monitor & Govern
We implement continuous validation and error handling to maintain data health over time.
Data Sources We Integrate
Bringing Every Data Source into One Stream
Operational Technology (OT)
Sensor data, machine logs, and production metrics.
Internal Data (IT)
ERP, Financials, CRM, Sales, and HR systems.
IoT & Smart Devices:
Real-time streams from trackers, mobile apps, and connected assets.
External & Partner Data
Supply chain feeds, third-party APIs, and customer data.