Manufacturing BI Consulting
Business Intelligence Consulting for Manufacturing
Connect your shop floor to the boardroom — turning production data into decisions that improve OEE, reduce waste, and accelerate throughput.
The Manufacturing Data Challenge
Most manufacturers sit on rich operational data — but it's locked in systems that don't talk to each other, reported too late to act on, and rarely trusted by the people who need it most.
ERP & MES Data Silos
SAP, Oracle, and MES systems hold the data but reporting is slow, manual, and siloed by plant — leaving operations teams flying blind across sites.
OEE Blind Spots
Availability, performance, and quality losses are tracked in spreadsheets days after the fact, making it impossible to respond to downtime in real time.
Quality & Compliance Gaps
ISO, traceability, and audit requirements demand clean, real-time production records — yet most plants still rely on paper trails and disconnected quality systems.
Our Manufacturing BI Services
From ERP integration to real-time shop-floor dashboards, we deliver end-to-end manufacturing BI consulting that fits your existing technology stack.
ERP Data Integration & Warehousing
- SAP / Oracle / Unit4 certified connectors
- Unified production data lake across plants
- Automated ETL pipelines with lineage tracking
OEE & Production Analytics
- Real-time availability, performance & quality dashboards
- Downtime root-cause analysis by machine and shift
- Trend alerts with configurable thresholds
Quality & Traceability Reporting
- Defect rate trending and SPC control charts
- Full batch traceability from raw material to dispatch
- Audit-ready exports for ISO, IATF, and BRC standards
Supply Chain & Procurement Analytics
- Supplier lead time variability and on-time delivery scoring
- Spend analytics with category and supplier segmentation
- Inventory turnover and safety stock optimisation
Example Use Cases
Illustrative scenarios and sample figures showing a possible approach. These are not verified client results or a promise of savings.
Automotive Parts Manufacturer
Real-time OEE dashboard replacing 47 weekly Excel reports
Example scenario: connect plant records to a Power BI environment for shift-level OEE review. The sample defect reduction is an illustrative target; validate the baseline and interventions in a pilot.
22% defect reduction
Food & Beverage Plant
Batch traceability investigation time cut from 3 days to 4 hours
Example scenario: bring ERP lots, lab results and warehouse movements into a traceability search. Sample investigation times illustrate an objective; quality managers must verify completeness and audit readiness.
4 hrs investigation time
Industrial Equipment Maker
SAP S/4HANA integration consolidating 8 plant datasets
Example scenario: consolidate plant data in Azure Synapse and Power BI for consistent reporting. The sample close-time reduction is an illustrative target, subject to reconciliation rules and a measured baseline.
35% faster month-end close
Tools We Use
We work with the platforms your teams already own, and add the modern data stack where it creates the most leverage.
Power BISAP S/4HANA (BAPI/RFC)Azure Data Factorydbt + SnowflakePythonApache AirflowSQL ServerAzure Synapse
Illustrative Targets
Sample objectives for discussion. Establish a baseline and measure actual pilot outcomes.
22%
Sample defect reduction target
35%
Sample reporting-time reduction
4 hrs
Sample investigation-time target
Illustrative example
Explore how an operational project could work.
These scenarios and sample figures illustrate an approach. They are not verified client results or a promise of savings. Actual scope and outcomes depend on the data, systems and operating conditions.
Illustrative example. These scenarios and sample figures illustrate an approach. They are not verified client results or a promise of savings. Actual scope and outcomes depend on the data, systems and operating conditions.
Illustrative exampleProduction Asset Intelligence
Apply condition signals and maintenance workflows to critical machines, cells, and production lines.
Predict failures earlier
Illustrative exampleInventory Resilience
Dynamic stock policies and supplier-risk signals transfer directly to components and raw materials.
40% fewer stockouts
Illustrative examplePredictive Maintenance Method
Sensor baselines, anomaly scoring, and ranked alerts apply across rotating and production equipment.
21-day early warning
Ready to connect your shop floor to your strategy?
Whether you're starting with a single plant or rolling out group-wide production data analytics, we scope engagements to deliver value fast — typically within 6–8 weeks for a first dashboard.