25%
Higher productivity.
Unified data platforms deliver about 25% higher data-engineering productivity (Forrester TEI), helping teams ship trusted data products faster.
Data Engineering& Platform Modernization
A modern data platform that unifies your data, trusted, real-time and ready for BI and AI
Data trapped in legacy warehouses, spreadsheets and siloed operational systems slows every report and blocks AI.
This service designs and builds a modern data platform, including lakehouse, pipelines and real-time streaming, that brings your ERP, operational, transactional and IoT data into one governed foundation your analysts and AI can rely on.
The value of a modern data platform
A unified platform raises engineering productivity, puts more enterprise data to work and creates one governed source of truth.
379%
Strong three-year returns.
Forrester TEI reports a 379% three-year ROI for unified data platforms. We sequence the build around priority domains and measurable value.
32%
Put more data to work.
Enterprises use only 32% of the data available to them (IDC). A governed platform makes more of that data accessible for BI and AI.
What’s included
A production-ready platform covering architecture, ingestion, streaming and modernization.
Data platform architecture
Lakehouse, data lake and warehouse design, in the cloud, on-premises or hybrid.
ETL/ELT pipeline development
Batch and incremental ingestion with built-in quality checks.
Real-time streaming
IoT / OT, event and transaction data integrated with ERP and CRM.
Legacy modernization
Warehouse and ETL migration, parallel run, cutover and decommissioning.
Engagement at a glance
Duration
10–14 weeks to a production platform for priority data domains, with further domains in 4–6 week increments.
Your engagement team
Engagement Lead, Data Architect, two to three Data Engineers, a Cloud / Platform Engineer and a BI Developer.
Tools and technologies
Lakehouse and warehouse platforms such as Microsoft Fabric, Databricks and Snowflake, plus dbt and Kafka streaming.
Delivery partners
Delivered in-house, with cloud and data-platform vendors engaged where required.
Pricing
A fixed fee per build increment (preferred), and managed services for platform run and enhancement.
What we’ll need from you
Access to source systems including ERP, CRM, databases and historians; data owners for validation; target cloud or landing-zone access; and current reports to reconcile against.
Related services
Data Strategy & Advisory
A data strategy, governance model and roadmap tied to business value and ready for AI.
DataOps & Data Lifecycle Management
Reliable, observable data pipelines that stay fresh, accurate and cost-efficient.
Custom AI & ML Solution Development
Production AI models built on your own data, running in your operations.
Ready to get started?
Start with your priority data domains, on a production platform in 10–14 weeks.