Business outcome
Use this capability when the framework shows that people cannot trust the records, measures, or exceptions needed to make decisions across demand, supply, production, inventory, fulfillment, delivery, or service.
Services
Data & Analytics · Data Analytics · Dashboards
Executive Dashboards
Give leaders a dependable view of performance, risk, and exceptions.
Leadership decisions should not depend on manually rebuilt reports and conflicting definitions. We connect governed measures for revenue, margin, workload, inventory, delivery, service, and operating exceptions with a refresh cadence suited to each decision.
Launchpad assesses the operating need and creates the Roadmap. We engineer this capability when the approved plan calls for it.
A strong fit when
- Financial and operating reports arrive after the decisions they were meant to support
- No single view of the operation -- sales data in CRM, inventory in ERP, production in spreadsheets
- KPIs defined differently by every department -- "on-time delivery" means three different things
- Report requests wait in a technical queue while the operating question changes
Why this service exists
Connect the technology decision to the work the manufacturing business must control.
System responsibility
Data engineering turns records from ERP and connected systems into governed information for shared visibility, reporting, reconciliation, automation, and accountable action.
Ownership and control
The manufacturer must own the definitions, source authority, access, lineage, quality rules, reconciliations, and decision context behind every important measure.
01
The Problem
Leadership decisions depend on stale reports and disputed measures.
Analytics problems begin when a dashboard is built before records, definitions, timing, lineage, and accountability have been reconciled across the operation.
What leaders see
Reports disagree about current conditions.
Teams debate demand, workload, capacity, inventory, service, delivery, and margin instead of acting on them.
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
Make the operating responsibility visible and governable.
Leadership decisions should not depend on manually rebuilt reports and conflicting definitions. We connect governed measures for revenue, margin, workload, inventory, delivery, service,.
01
Operating outcome
Give leaders a dependable view of performance, risk, and exceptions.
02
Operating records to reconcile
demand and orders, products, services, and inventory, work and capacity
03
Decision and exception path
Which decision the view supports, which records establish it, and how disagreement or missing data becomes visible.
04
Ownership and continuity
Measures need defined ownership, timing, lineage, reconciliation, and access before dashboards can become a basis for operating decisions.
03
Architecture
Build the service around the business record and decision.
Which decision the view supports, which records establish it, and how disagreement or missing data becomes visible.
01Source record
02Governed connection
03Validation
04Business system
05Accountable owner
Operating records to reconcile
demand and ordersproducts, services, and inventorywork and capacityquality and customer servicedelivery and financial results
04
Engineering scope
What Metrotechs engineers for Executive Dashboards.
The exact scope follows the approved business objective, source records, dependencies, controls, and delivery sequence.
01
Revenue & Margin Dashboards
Revenue by product, customer, channel, and region with gross-margin analysis. Refresh timing and late-data indicators follow the source records and leadership decision cadence.
02
Inventory & Supply Chain
Inventory turns, days on hand, stockout rates, and excess stock by location and product category. Drill from summary to SKU-level detail without switching systems.
03
Operational Performance
Track orders, inventory, fulfillment, service levels, exceptions, margins, and work status across teams and locations so leaders can act before problems compound.
04
Delivery & Fulfillment
On-time delivery rates, order-to-ship cycle times, backorder aging, and carrier performance. Customer-facing metrics that directly impact retention and satisfaction.
05
Financial KPIs
AR aging, DSO, AP aging, cash flow, and budget-to-actual comparisons. Financial health visible alongside operational metrics for a complete picture.
06
Mobile & Embedded Access
Dashboards accessible on phone, tablet, and desktop. Embed key metrics in the tools your team already uses -- email digests, Teams/Slack notifications, and TV displays on the shop floor.
05
Delivery sequence
From operating reality to a solution the business can own.
KPI Definition Workshop
Align leadership on the measures that matter, how they are calculated, who owns them, and what decisions they support. Approved dashboards reference the governed definitions.
Data Source Mapping
Map each KPI to its source data, identify gaps, and define the data pipeline requirements. If the data doesn't exist yet, we address the collection gap.
Dashboard Design & Build
Iterative dashboard development with stakeholder review at each round. Power BI, Tableau, or Looker -- whichever fits your environment. Design for clarity, not complexity.
Deployment & Training
Deploy dashboards with scheduled refresh, alerting rules, and access controls. Train leadership and department heads on navigation, filtering, and interpretation.
Related services and systems
Continue through the connected operating environment.
Use these connected services and references to understand the records, workflows, and systems surrounding this work.
06
FAQ
Questions to answer before implementation begins.
Clear answers for manufacturing leaders evaluating the work, operating responsibility, and delivery path.
We select the platform from your existing environment, licensing, user roles, model complexity, governance needs, and internal support capacity. Power BI, Tableau, Looker, and purpose-built interfaces can each be appropriate.