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accepting_projects · lugano_ch

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Development·2-8 weeks

Dashboards & Operational Reporting

Dashboards and reporting tools that turn scattered system data into decisions, alerts and automation triggers.

Timeline2-8 weeks
Stack
ReactD3.jsRechartsWebSocket
01

About

A dashboard is only as useful as the source model

We start by cleaning definitions, owners and data sources. Then we build views that show decisions and exceptions, not decorative charts copied from spreadsheets.

Views by role

Owners need margin and trend visibility. Operations managers need bottlenecks and exceptions. Warehouse leads need stock accuracy and delayed picks. Production supervisors need machine states, stops and quality signals.

02

Features

01

Source cleanup

Connect ERP, ecommerce, databases, machines and spreadsheets into one model with clear definitions and owners.

02

Role-specific decision views

Dashboards for owners, operations, warehouse, production and finance, each with the right level of detail.

03

Exception monitoring

Alerts for stock drift, delayed orders, downtime, margin changes, missing data and integration failures.

04

Proof from operational systems

ARACNE, CleanPact and EMS show factory, stakeholder and energy dashboards tied to real workflows.

03

Examples

Example 01

Starter Dashboard

One operational dashboard connected to a trusted data source, with clear definitions, export, and a layout people can use daily.

Source connection and field mapping
Up to 5 decision widgets
Responsive operational layout
CSV/PDF export where useful
Realtime stream
Role-based access

Timeline: 2-4 weeks

Example 02

Operations Dashboard

Multi-view dashboards for teams that need live status, role-specific views, alerts, reporting, and source-system integrations.

Realtime or scheduled data refresh
Role-specific views and access
Alerts, exceptions, and reports
ERP, API, database, or spreadsheet integration
Custom widgets for operational KPIs

Timeline: 4-8 weeks

Example 03

Operations Data Platform

A governed reporting layer across multiple sources, with cleaned definitions, permissions, monitoring, and dashboards tied to real decisions.

Source cleanup and data pipelines
Forecasting only where data supports it
Multi-source operational data model
SSO and permissioned access
Deployment, monitoring, and documentation

Timeline: 2-5 months

04

Selected Work

Ready to start?

Send the task, tools, data, approvals and outcome you need.