Purpose
1 Drive real-time visibility into project-specific revenue, costs, and gross margins for aeronautics projects, supporting accurate forecasting and immediate variance detection.
2 Aggregate financial KPIs (budgets, cash flow, AR/AP, expense categories, performance by project phase) from ERP, time tracking, procurement, and CRM systems.
3 Enable secure, role-based delivery of interactive dashboards and automated reporting to project managers, finance, and executive teams.
Trigger Conditions
1 New or updated financial transaction (invoice, purchase order, expense) posted in ERP system.
2 Project milestone reached or project phase transition occurs in project management platform.
3 Manual or scheduled sync (e.g., nightly batch, weekly review) from accounting system.
4 Data anomaly or threshold breach (budget overrun, delayed payment, unbilled hours detected).
5 User request for an updated/projected dashboard via portal or email.
Platform Variants
1 Microsoft Power BI
- Feature/Setting: Dataflow refresh via REST API; configure "Refresh Now" endpoint to trigger on ERP data update.
2 Tableau Cloud
- Feature/Setting: Webhook for automated dashboard refresh on new financial data using Tableau REST API’s “Refresh Workbook” action.
3 Google Data Studio
- Feature/Setting: Scheduled connector refresh for BigQuery or Sheets data; configure via Google Data Studio API.
4 Salesforce Analytics (Tableau CRM)
- Feature/Setting: External Data Sync API; trigger dashboard pipeline from new financial records.
5 SAP Analytics Cloud
- Feature/Setting: Live Data Connection with SAP S/4HANA; set data replication schedule on cost center updates.
6 Zoho Analytics
- Feature/Setting: Use Zoho Analytics API’s “Import Data” endpoint to refresh project ledgers from ERP files.
7 QuickBooks Online
- Feature/Setting: Webhooks API transformation; pull updated AR/AP data on new transaction.
8 Oracle Analytics Cloud
- Feature/Setting: Scheduled job trigger using REST API for dashboard updates from Oracle Fusion ERP.
9 Smartsheet
- Feature/Setting: Automated report generation via Sheets API when new project expense row is added.
10 Jira (Atlassian)
- Feature/Setting: Webhook on project status change; push time & cost logs to reporting dataset.
11 Monday.com
- Feature/Setting: Automation trigger when a financial field or project status changes; integration recipe for dashboard refresh.
12 Slack
- Feature/Setting: Incoming webhook to post summary report or anomaly alert when budget threshold crossed.
13 Trello
- Feature/Setting: Butler Automation to trigger report update when card with cost label is moved.
14 Xero
- Feature/Setting: New invoice/payment triggers via Xero API; push updates to BI tool.
15 FreshBooks
- Feature/Setting: Event-based webhooks (e.g., new expense logged) to trigger data sync.
16 NetSuite
- Feature/Setting: Saved Search RESTlet trigger to export updated financials for dashboarding.
17 AWS QuickSight
- Feature/Setting: Schedule dataset refresh using QuickSight API upon detection of new cost data.
18 Google Sheets
- Feature/Setting: Apps Script custom trigger that detects sheet edits and calls dashboard refresh routine.
19 Airtable
- Feature/Setting: Automation script on record update (e.g., new project payment) initiates external dashboard API call.
20 HubSpot
- Feature/Setting: Workflow automation on deal stage; push financial milestones to reporting layer.
21 Asana
- Feature/Setting: Task completion or new budget field update triggers outgoing webhook for dashboard pipeline.
22 Notion
- Feature/Setting: Database automation on financial data block update; integrates API sync to dashboard.
23 Microsoft Teams
- Feature/Setting: Adaptive Card Bot posts dashboard summary when KPIs update.
24 Looker Studio
- Feature/Setting: BI Connector scheduled refresh and webhook for finance table updates.
25 Domo
- Feature/Setting: Magic ETL dataflow automation triggers on new source file arrival.
Benefits
1 Continuous, project-aligned financial transparency for managers and finance officers.
2 Proactive variance and risk detection, minimizing surprise cost overruns.
3 Reduced manual effort in exporting, consolidating, and visualizing financial insights.
4 Secure, permissions-based data delivery tailored to project roles.
5 Improved data-driven decision-making and audit traceability for aeronautical engineering firms.