Business and Management Cockpits
Show sales, orders, receivables, project progress, inventory, costs, customers and risks for management review.
A large-screen dashboard suits shared viewing, continuous monitoring and presentations. Define the business goal, metric rules, data sources and viewing distance before choosing content density and interaction.
Show sales, orders, receivables, project progress, inventory, costs, customers and risks for management review.
Bring together lines, equipment, quality, energy, alerts and work orders for site and management teams.
Clarify operating status for parks, ports, energy, environmental monitoring, emergency response and project reviews.
Typical work includes requirements, metric definitions, prototypes, UI, frontend development, data integration, deployment and maintenance. Explore the wastewater operations demo and sales dashboard demo to review 3D views, maps, charts and interactions. Both demo interfaces are in Chinese and use demonstration data, not customer production data or actual business results.
Check data stability, access rights and refresh frequency before choosing Excel, databases, APIs, business systems or device data.
| Connection | Best Fit | Implementation Checks |
|---|---|---|
| Excel / CSV | Early demos, periodic reports, light maintenance and smaller datasets. | Confirm fields, definitions, upload method and whether a database will be needed later. |
| Database | Existing business or reporting databases with relatively stable schemas. | Check schema, query permissions, calculations, refresh rate and performance limits. |
| API | Projects drawing from ERP, MES, CRM, WMS or third-party platforms. | Check API documentation, authentication, response fields, errors and call limits. |
| IoT / WebSocket / MQTT | Near-live equipment, energy, alert, line and sensor monitoring. | Check point IDs, data quality, offline states, alert rules and UI refresh behavior. |
| Manual Maintenance Interface | Information without a system source that still requires ongoing updates. | Provide entry, imports, permissions, validation and logs so edits do not require a developer. |
Existing ERP and Excel data can support an initial assessment. We review fields, calculations, update needs and network conditions; an ERP product name or spreadsheet alone does not prove API access or live updates.
| Current Data Condition | Prepare First | Implementation Conditions |
|---|---|---|
| ERP API is available | API docs, masked response samples, field descriptions and a technical contact | Access rights, test environment, call limits and error responses |
| ERP API is not available yet | Exportable reports, update frequency and a contact for the source system | Whether file imports suffice, and the effort and cost of later API integration |
| Metrics are spread across Excel files | Masked samples, column definitions, owners and file update times | Duplicates, manual update ownership, versions and permissions |
| Multiple sources must be combined | Object IDs, time ranges, calculations and comparison samples | Whether records can be joined and metrics recalculated consistently |
| Data must stay on the intranet | Server environment, access method, network requirements and maintenance contact | Whether dependencies work in the target network and who handles deployment, backups and upgrades |
Initial discussions can use masked samples and environment details. Handle credentials and production data through an agreed secure channel. See theAPI and sample-data checklist (Chinese)、intranet deployment guideandphase-one scope guide。
If you are comparing teams, readhow to choose a dashboard development company。
We choose between a lightweight demo, a live dashboard, a dashboard with maintenance tools or an on-premises system based on project needs.
ECharts, maps, Canvas, SVG, WebGL and responsive layouts support trends, rankings, status, alerts and on-screen motion.
Projects may use Vue, React, Node.js, API services, databases, staging tables, scheduled jobs and maintenance interfaces.
Deployment can include cloud servers, intranets, Nginx, HTTPS, account roles, allowlists and scheduled data updates.
Confirm whether the dashboard is for management, reporting, monitoring or display; list users, screen sizes, references and timing.
Confirm definitions, calculations, sources and page structure before detailed visual work.
Build visual designs, chart styles, page states, frontend components and responsive views into a working demo.
Connect Excel, databases, APIs or business systems; check error states, refresh rates and performance with real data.
Accept against data accuracy, display stability, permissions, deployment notes, source files and ongoing maintenance.
Choose cloud, client-owned server or intranet deployment based on data security, access and operations requirements.
Confirm server OS, domain, HTTPS certificate, ports, database permissions, static asset paths and backups.
Configure login, roles, IP allowlists, read-only displays, maintenance and import rights as needed.
Agree who handles source changes, metric revisions, styling, server operations and later feature work.
Use business goals, data sources and user roles to distinguish operations monitoring, management analysis and 3D spatial views.
BI cockpit development (Chinese)is useful for sales, receivables, profit, project and risk metrics; for ongoing review, also seebusiness management cockpits (Chinese)。
Seesmart factory dashboards、smart factory digital twins (Chinese)andsmart park digital twins (Chinese)for relevant page modules.
For water plants, usewater-treatment process screens (Chinese)to review process monitoring, orsolid-waste lifecycle screens (Chinese)to review generation and disposal flows. For wastewater and energy, comparewastewater digital twin solutions (Chinese)、energy management dashboards (Chinese)andwater and energy storage monitoring (Chinese)to plan page connections.
Seecity infrastructure monitoring (Chinese)、tourism operations and emergency dispatch (Chinese)、electrical equipment monitoring (Chinese)andhospital operations cockpits (Chinese)。
Seerail transit operations (Chinese)、campus safety and energy dashboards (Chinese)andwarehouse and logistics platforms (Chinese)。
Seeenergy storage station monitoring (Chinese)、data center digital twins (Chinese)、liquid-cooling and equipment alert screens (Chinese)andtunnel structural monitoring (Chinese)。
For real-time equipment data, use theindustrial data integration guideto check links, protocols and acceptance evidence, then use thedashboard security and audit checklistto review roles, data scope and logs. For operational questions, seetask, equipment and energy-flow examples (Chinese)for how pages connect to data.
Start with one business purpose and define pages, metrics and sources. Then review maintenance, devices, deployment and acceptance. The same number of pages can require very different work depending on interfaces, refresh rates and error handling.
| Review Order | What to Prepare | Expected Outcome |
|---|---|---|
| 1. Confirm the use | Meeting reports, continuous monitoring or daily lookup | Identify viewers, metrics and follow-up actions |
| 2. Check the data | Sample data, API docs, definitions and refresh rules | Identify missing sources and owners |
| 3. Define delivery | Pages, APIs, admin tools, devices and deployment | Include tests and handover materials in scope |
Read the dashboard pilot and acceptance guidealongside the quotation factors checklist (Chinese)to prepare project information.
Share the use case, pages, metrics, existing systems or samples, update method, devices and deployment. Unclear API, admin and error-handling work should be scoped before pricing.
Use one representative scenario to test definitions, data reading, page updates and alerts. Record sources, users and devices not yet covered.
Check data structures, definitions, roles and environments first. Reuse suitable components, but test and accept new sources and workflows separately.
Consider one for management reports, production monitoring, park operations, energy, port logistics, emergency response or project presentations when an internal delivery team is unavailable.
It typically covers discovery, metrics, sources, prototypes, UI, frontend work, data integration, testing, acceptance and maintenance.
Yes. Excel, historical data or masked samples can support definitions and prototypes before live integration.
Possibly. Excel, databases, APIs and business systems can be integrated after permissions, refresh needs and deployment conditions are checked.
Prepare context, core metrics, sample spreadsheets or screenshots, sources, screen sizes, references, timing and acceptance goals.
Yes, depending on the project. Confirm server environment, certificates, access and maintenance ownership before delivery.
Pages, APIs, admin settings and acceptance rules can be revised within the agreed maintenance or iteration scope.
Timing depends on pages, metric definitions, data readiness, API complexity, design reviews and deployment conditions.
The agreed handover can include frontend source, deployment files, API notes, field definitions, admin accounts and user documentation.
Yes. Masked reports and field notes can support scope and manual-update planning. Confirm whether file imports suffice, when the API will open and who owns vendor support and fees; unfinished API work is not delivered integration.