Cloud data for supply chains
We brought Blackwoods’ procurement, inventory, logistics and service data into a shared cloud platform for analytics and reporting.
Blackwoods needed one cloud data foundation across the supply chain.
Blackwoods, an Australian industrial and safety supplier with an extensive distribution network and a large product estate, needed to reimagine its data strategy to support complex supply-chain operations and strategic decisions.
We built an enterprise data platform on Azure, Azure Data Factory, Databricks, and Power BI: a unified cloud data lake, real-time streaming, a modern warehouse, and AI-powered data quality.
What stood in the way.
Siloed legacy data
Procurement, inventory, logistics, and service each kept their own systems and their own numbers.
No real-time view
Batch latency blocked live decisions and predictive insight.
Scale pressure
Growing volumes strained an architecture never designed for them.
The solution, piece by piece.
A unified cloud data lake
Central, secure, scalable storage for structured and unstructured data.
Real-time streaming
Streaming analytics give live visibility into inventory and orders.
A modern data warehouse
Complex queries across massive datasets for operations and analytics.
AI-powered data quality
Automated validation, anomaly detection, and predictive insight.
What changed for the client.
A shared product-data foundation
One platform brought the catalogue and operational data into a common foundation.
Real-time operational visibility
The supply chain sees itself as it moves.
Self-service BI for every team
Analytics stopped being a specialist bottleneck.
Ready for machine learning
A foundation prepared for predictive optimisation.
The capabilities that carried this engagement.
Related client work.
Explore related work across platforms, data and operations.
Data silos do not merge themselves. Platforms merge them.
Talk to the team that builds cloud data platforms at industrial scale.