What leaders see
Reports disagree about current conditions.
Teams debate inventory, production, margin, delivery, and quality numbers instead of acting on them.
Services
Business Decisions · Data
Data Analytics & Business Intelligence
Turn scattered data into decisions people can trust. Manufacturers already hold information about orders, materials, inventory, production, quality, capacity, fulfillment, and service. We connect and govern those records so teams can see current conditions, reconcile disagreement, and act without rebuilding the answer by hand.
01
The Problem
Leaders cannot manage what teams cannot see clearly.
Analytics problems begin when a dashboard is built before records, definitions, timing, lineage, and accountability have been reconciled across the operation.
What is actually happening
Measures inherit unresolved record conflicts.
Sources, identifiers, definitions, refresh timing, adjustments, and ownership differ across systems and teams.
What gets worse
Faster reporting accelerates the wrong answer.
More dashboards spread inconsistent measures and make exception ownership harder to establish.
02
What Changes
What Data Analytics & Business Intelligence includes.
Manufacturers already hold information about orders, materials, inventory, production, quality, capacity, fulfillment, and service. We connect and govern those records so teams can see current conditions, reconcile disagreement, and act without rebuilding the answer by hand.
01
Data Warehouse & Integration
Centralize data from ERP, WMS, CRM, finance, commerce, service, and other business systems into a cloud data warehouse. Automated pipelines keep data fresh and consistent.
Related service02
Executive Dashboards
Real-time dashboards for revenue, margin, inventory turns, on-time delivery, and production throughput. Accessible on any device, updated automatically.
Related service03
Operations Analytics
Connect order, inventory, fulfillment, service, finance, exception, and customer-workflow data so leaders can identify delays, leakage, and capacity constraints.
Related service04
Demand Forecasting
Machine learning models trained on your historical data to forecast demand by product, customer, and channel. Reduce stockouts and overstock simultaneously.
Related service05
Inventory Optimization
Analytics-driven safety stock calculations, reorder points, and ABC classification. Reduce carrying costs while maintaining service levels.
Related service06
Self-Service Reporting
Empower your team to build their own reports and explore data without IT involvement. Governed data models ensure consistency across all reports.
Related service03
How It Fits Your Operations
How Data Analytics & Business Intelligence fits your operation.
Operational AnalyticsWhich decision the view supports, which records establish it, and how disagreement or missing data becomes visible.
Governance dependencyMeasures need defined ownership, timing, lineage, reconciliation, and access before dashboards can become a basis for operating decisions.
Operating records to reconcile
demand and orders
materials and inventory
production and capacity
quality
shipments and commitments
What must be defined before engineering begins
- What the business needs to change and why.
- Which systems, records, risks, and readiness gaps shape the work.
- What should be built, how it fits the architecture, and in what order.
Related Services and Planning
What the operating problem may require next.
Follow the dependencies behind this service instead of treating it as an isolated project.
01
Integration Engineering
Acquire and govern the source records the operating view depends on.
Explore next step02
Workflow and Exception Automation
Turn visible exceptions and decisions into accountable action.
Explore next step03
Manufacturing Portals
Provide permissioned analytics and status to customers, suppliers, and partners.
Explore next step04
Launchpad assessment and Roadmap
Use Launchpad when the operating problem needs a structured assessment, readiness evidence, architecture, and implementation Roadmap.
Explore next stepStart With the Operating Problem
Define the smallest sound response and delivery sequence.
Metrotechs determines what the operation actually requires before selecting technology. When a structured assessment is warranted, Launchpad turns evidence into priorities, risks, architecture, and an implementation Roadmap.
Metrotechs designs, builds, integrates, and supports the approved solution.
Launchpad is available when the engagement needs assessment evidence, a Roadmap, and ongoing delivery governance.
04
Delivery sequence
How Metrotechs delivers Data Analytics & Business Intelligence.
Manufacturers already hold information about orders, materials, inventory, production, quality, capacity, fulfillment, and service. We connect and govern those records so teams.
01
Data Audit
Inventory all data sources, assess quality, and map relationships. Identify gaps and define the metrics that matter most to your operation.
02
Architecture & ETL
Design the data warehouse schema and build automated data pipelines. Cloud-based with incremental refresh for near-real-time analytics.
03
Dashboard Development
Build executive and operational dashboards in Power BI, Tableau, or Looker. Iterative design with stakeholder feedback at every round.
04
Advanced Analytics
Deploy forecasting models, anomaly detection, and optimization algorithms. Validate predictions against historical data before production use.
05
Training & Handoff
Train your team on dashboards, self-service reporting, and data interpretation. Full documentation and ongoing support.
05
FAQ
Questions that usually decide the scope.
Straight answers to what operators ask before committing budget to this work.
Power BI, Tableau, Looker, and custom-built dashboards. We recommend based on your existing Microsoft/Google ecosystem, team size, and budget. Power BI is the most common choice for operators already on Microsoft.