Manufacturing Analytics
Connect production, quality, inventory and maintenance data into one clearer view
Datazeb helps manufacturing teams bring together operational and business data from ERP, production, quality, inventory, maintenance, and finance systems into reliable analytics and reporting.
The manufacturing data problem
Operational systems capture the events. Management reporting often reconnects them manually.
When production, quality, maintenance, inventory, and finance are reported separately, it becomes difficult to explain why output changed or where operational performance is being lost.
- ERP systems
- Manufacturing execution / production systems
- Quality systems
- Maintenance / CMMS platforms
- Warehouse and inventory systems
- Procurement and supplier data
- Finance and costing systems
- Machine or sensor exports where available
What Datazeb can deliver
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Production Performance Analytics
Track output, throughput, production volume, plan vs actual, line / plant performance, and operational trends.
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Downtime & Availability Reporting
Analyse downtime, stoppages, duration, categories, frequency, and related operational impact where source data allows.
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Quality Analytics
Track defects, rejects, yield, rework, inspection outcomes, and quality trends using agreed definitions.
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Inventory & Material Analytics
Connect stock, material movement, production consumption, ageing, shortages, and availability.
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Maintenance Analytics
Analyse work orders, failure patterns, planned vs unplanned maintenance, equipment history, and downtime relationships.
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Supplier & Procurement Analytics
Track supplier performance, purchasing, delivery, lead time, quality, and material availability indicators.
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Manufacturing Data Integration
Connect ERP, production, quality, maintenance, files, APIs, and databases into a trusted analytical layer.
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Automated Reporting & Alerts
Reduce manual plant reporting and notify users when defined operational exceptions occur.
Industry measures
Manufacturing measures we work with
Production, quality and capacity on one model.
- OEE
- Availability × performance × quality
- Throughput
- Output per hour, line and shift
- Downtime
- Planned and unplanned stops, by cause
- Yield
- Good output as a share of input
- Scrap
- Material lost, by reason
- Capacity
- Load against available capacity
- Production
- Output against plan
From plant systems to one trusted operating view
The critical work is often the mapping layer: product codes, work centres, machines, shifts, sites, production orders, downtime reasons, quality codes, and time periods need to align before a KPI becomes trustworthy.
- 01ERP / Production
- 02Quality / Maintenance
- 03Transform & Reconcile
- 04Trusted Model
- 05Power BI / Alerts
In detail
Explore the detail
Typical manufacturing analytics challenges
- Production reporting is manually consolidated from multiple sources
- Downtime categories are inconsistent or incomplete
- Quality and production data are not connected
- Inventory and production consumption do not reconcile cleanly
- Maintenance history is difficult to compare with production loss
- Plant or line performance cannot be compared consistently
- Supplier issues are disconnected from quality or availability reporting
- Operational KPIs are calculated differently by different teams
- Historical reporting is difficult to analyse
- Management receives information after the opportunity to act has passed
Production performance analyticsSee output and throughput in the context of plan, time and capacity
The exact metrics should follow the manufacturer's operating model rather than a generic template.
- Production volume
- Plan vs actual
- Throughput
- Units per hour / shift where appropriate
- Work-centre / line performance
- Plant comparison
- Shift trends
- Product / SKU mix
- Backlog or production status where available
Downtime and availabilityUnderstand where productive time is being lost
Datazeb can help standardise downtime reason codes and create reporting that makes recurring patterns easier to identify.
- Planned vs unplanned downtime
- Downtime duration
- Downtime frequency
- Reason / category
- Machine / line / site comparison
- Time between recurring events
- Production impact
- Trend analysis
Quality and yield analyticsConnect output with quality, not just volume
- Yield
- Rejects
- Scrap
- Rework
- Defect categories
- Inspection results
- Product / batch quality trends
- Line / shift comparison
- Supplier-linked quality issues where data exists
Inventory and materialsProduction visibility is incomplete without material availability
Where planning data exists, reporting can also support stock cover, availability, and replenishment decisions.
- Raw-material inventory
- Work-in-progress
- Finished goods
- Material consumption
- Shortages
- Stock ageing
- Movement history
- Warehouse / site comparison
- Production-linked inventory exceptions
Maintenance analyticsBring maintenance history into the same operational conversation
The goal is not to replace specialist maintenance systems, but to make maintenance performance easier to connect with production outcomes.
- Work-order volume
- Open / closed maintenance
- Planned vs unplanned maintenance
- Equipment history
- Failure categories
- Repair duration
- Recurring faults
- Maintenance-linked downtime
- Site / asset comparison
Plant, line and site comparisonCreate one KPI model across operations without losing local detail
- Common KPI definitions
- Plant / line comparison
- Shift-level views
- Central management dashboard
- Local drill-down
- Role-based access
- Standardised downtime / quality categories
- Shared reporting calendar
OEE and composite manufacturing KPIsUse composite KPIs carefully
Metrics such as Overall Equipment Effectiveness (OEE) can be useful when availability, performance, and quality are captured consistently. Datazeb can help structure the data and reporting needed to calculate composite measures, but the component definitions should be agreed with operations and engineering teams first.
FAQ
Frequently asked questions
Can you connect our ERP with production and quality data?
Often, yes. The integration method depends on the APIs, databases, files, exports, and access available in each system.
Can you build production dashboards in Power BI?
Yes. Datazeb can build management and operational Power BI reporting where the required production data is available.
Can you report downtime and OEE?
Yes, where the necessary event, availability, performance, and quality data is captured consistently and the KPI definitions are agreed.
Can you support multiple plants or production lines?
Yes. Datazeb can create a standardised reporting model with consolidated management views and controlled plant- or line-level detail.
Can you integrate maintenance data?
Yes. Maintenance data can be connected to production reporting where system access and identifiers allow the relationship to be modelled reliably.
Connect the operational data before the next performance issue becomes another manual investigation
If production, quality, maintenance, inventory, and finance data live in separate systems, tell us how reporting works today. Datazeb can help create a more reliable view of output, downtime, quality, stock, maintenance, and plant performance.