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Production Dashboard: The KPIs Your Management Expects
Data & Performance Management

Production Dashboard: The KPIs Your Management Expects

Guide to building a dashboard connected to your ERP. The key indicators for managing production.

05 March 2026

Why your management expects a production dashboard

A production dashboard is not a technological gadget. It is the tool that enables management to monitor operations in real time rather than discovering problems in a monthly report that is already outdated.

Overall efficiency

What is the OEE of each line in real time?

Bottlenecks

Where are the slowdowns today?

Weekly targets

Are we ahead or behind schedule?

Field observation
In 70% of industrial SMEs, management only has access to production indicators with a 5 to 15 day delay. By that time, problems have already become losses.

The 7 essential KPIs for your management team

After supporting numerous manufacturers, we have identified the indicators that are systematically requested by senior management.

KPI What it measures Typical target Frequency
OEE Overall equipment effectiveness ≥ 85% Real-time
Scrap rate Material loss / quality < 2% Per shift
MTBF Mean time between failures ↑ trend Weekly
MTTR Mean time to repair < 30 min Weekly
Actual vs target throughput Adherence to production plan ≥ 95% Real-time
Unit production cost Profitability per product ↓ trend Daily
On-time delivery (OTD) Meeting customer commitments ≥ 98% Weekly

Architecture of a dashboard connected to the ERP

The key to a reliable dashboard is to never re-enter data. Everything must flow automatically from your ERP and production sensors.

Data Architecture — Production Dashboard

┌──────────────┐    ┌────────────────┐    ┌──────────────┐
│ ERP (SAP,    │───▶│  Pipeline ETL  │───▶│ Data         │
│ Sage, Divalto)│    │ Python/Airflow │    │ Warehouse    │
└──────────────┘    └────────────────┘    └──────┬───────┘
┌──────────────┐            │                       │
│ IoT Sensors │────────────▶│                       ▼
│ (MES, SCADA) │            │             ┌──────────────┐
└──────────────┘            │             │ Power BI     │
┌──────────────┐            │             │ or Metabase  │
│ Field         │────────────▶│             │ + alerts     │
│ files         │                           └──────────────┘
└──────────────┘

The most common ERP connectors

SAP

Extraction via RFC/BAPI or SAP HANA. Production data, inventory, manufacturing orders.

Sage X3 / Sage 100

Direct SQL connection or REST API. Commercial and production data.

Divalto

Database querying via ODBC. Work order tracking and bills of materials.

Cegid PMI

REST API or scheduled exports. CAPM and sales management data.

Implementation steps

1
Scoping

Identify priority KPIs with management and production managers

2
Connection

Connect data sources (ERP, MES, sensors, field files)

3
Build

Develop ETL pipelines and dashboards with rapid iterations

4
Autonomy

Train teams and hand over dashboard maintenance

Practical example: an industrial director's dashboard

Here are the typical views we deploy for a production management team:

Real-Time View
  • OEE per line (gauge with colour coding)
  • Instantaneous throughput vs target
  • Current downtime alerts
  • Parts produced vs target
Weekly Management View
  • Average OEE and trend (rolling week)
  • Top 5 downtime causes
  • Scrap rate by product
  • OTD (On Time Delivery)
Monthly Financial View
  • Unit production cost
  • Machine utilisation rate
  • Cost of unplanned downtime
  • ROI of improvement actions
Automatic Alerts
  • OEE below threshold (< 70%)
  • Machine downtime > 30 minutes
  • Abnormal scrap detected
  • Delay on critical order

Results observed at our industrial clients

Indicator Before dashboard After 3 months
Management visibility Monthly report (D+10) Real-time
Unplanned downtime 12% of machine time 7% (-40%)
Average OEE 68% 82% (+14 pts)
Decision-making time Days Minutes
On-time delivery rate 89% 97%

"Within 3 months, the dashboard transformed the way we run the plant. We detect deviations in minutes instead of discovering them in the monthly report."

— Industrial Director, aerospace subcontracting SME (120 employees)

Common mistakes to avoid

What does not work
  • Overloading with KPIs (more than 10 on one screen)
  • Building without involving operations staff
  • Waiting for perfect data before starting
  • Developing a dashboard without a real-time connector
What works
  • Start with 5 key KPIs and iterate
  • Co-build with management AND the shop floor
  • Start with the data you have
  • Automate data collection from day 1

How long does it take to set up a production dashboard?

2
weeks

First functional dashboard with 3-5 KPIs

4
weeks

Full dashboard with alerts and history

6
weeks

Multi-site with inter-plant benchmarking

Move from monthly reporting to real-time management

Free 30-minute diagnostic to identify your priority KPIs and assess feasibility.

Request a free diagnostic →

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