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External Data Orchestration Hub

Version: 1.0
Date: September 7, 2025
Author: Pramod Prasanth
Status: Draft

1. Feature Name​

External Data Orchestration Hub

2. Objective & Purpose​

To provide the ChainAlign team with a centralized platform within the Admin Backend ("Mission Control") to manage the lifecycle of all third-party data sources (e.g., economic indicators, market trends, weather, supply chain risk alerts). This hub will be used to monitor the health and cost of these integrations and to analyze their impact on customer insights and AI model performance, ensuring a positive ROI on data investments.

3. Target Users​

  • ChainAlign Admin / Data Engineer: Responsible for setting up, configuring, and monitoring the health of new data integrations.
  • ChainAlign Product Manager / Analyst: Responsible for evaluating the effectiveness and ROI of data sources to inform product strategy and pricing tiers.

4. Functional Requirements​

4.1. Data Source Catalog​

The main view of the hub will be a master table listing all integrated external data sources.

  • Table Columns: The catalog must display the following columns:
    • Data Source Name: The human-readable name of the data feed (e.g., "Resilinc Supply Chain Events").
    • Category: The type of data (e.g., Event Data, Market Data, Macroeconomic, Environmental).
    • Provider: The third-party vendor of the data.
    • Cost/Month: The monthly subscription cost for the data feed.
    • Status: The current operational status (e.g., ✅ Active, 🟡 Testing, 🔴 Inactive).
    • Health (24h): A real-time health indicator showing the success rate of data ingestion over the last 24 hours (e.g., 🟢 99.9%).
    • Customers Using: The number of customer tenants currently subscribed to this data feed.
    • Last Successful Sync: A timestamp of the last successful data pull.
  • Filtering & Sorting: The table must be sortable by any column and filterable by Category and Status.

4.2. Data Source Detail View​

Clicking on any source in the catalog must open a detailed view with the following tabs:

  • Configuration Tab:
    • Displays the API endpoint, data format (e.g., JSON, XML), and sync frequency.
    • Provides a secure link to the credentials stored in a secret manager (e.g., Google Secret Manager). The credentials themselves are never displayed in the UI.
    • Shows the data schema being ingested.
  • Sync Logs Tab:
    • A real-time, filterable log of all data ingestion jobs from this source.
    • Each log entry must contain a timestamp, status (Success/Failure), records processed, and any error messages.
  • Customer Association Tab:
    • An interface for ChainAlign Admins to manage which Industry Templates and which specific Customer Tenants are subscribed to this data source.
    • This enables the creation of premium data tiers.

4.3. ROI & Impact Analysis Dashboard​

This dashboard provides analytics on the value derived from each data source.

  • Insight Contribution Widget:
    • Displays what percentage of "high-severity" insights or exceptions across all customers were triggered or enriched by a specific external data source.
    • Example: "Resilinc data contributed to 75% of all SUPPLIER_DELAY alerts this month."
  • Usage Analytics Widget:
    • A chart showing which data sources are most frequently queried by the AI Insight Engine during scenario modeling and analysis.
  • External Data ROI Score Widget:
    • A calculated metric that compares the subscription cost of a data source to its measured impact (e.g., number of critical insights generated, its contribution to forecast accuracy improvements for the customers using it).

5. User Journey​

  1. Procurement & Setup: The ChainAlign team subscribes to a new premium data feed. An admin navigates to the External Data Orchestration Hub and clicks "Add New Source." They fill out the configuration form, securely linking the API credentials.
  2. Association: In the Customer Association tab, they associate the new source with the "Automotive Manufacturing" industry template, making it available as a premium add-on to all customers in that category.
  3. Monitoring: Over the next month, they use the Sync Logs tab to ensure the API connection is stable.
  4. Analysis: At the end of the quarter, they review the ROI & Impact Analysis dashboard. They see that the new data has been used by the AI Insight Engine to generate 42 high-value insights related to margin erosion for 15 different customers, clearly justifying the subscription cost.

6. Non-Functional Requirements​

  • Security: All API keys and credentials must be stored in a secure, encrypted secret manager and never exposed in the UI or logs.
  • Reliability: The hub must provide automated alerts to ChainAlign admins if a data feed fails for a configurable number of consecutive attempts.
  • Scalability: The system must be designed to handle hundreds of unique data sources, each with different sync frequencies and data volumes.

7. Dependencies​

  • Admin Backend ("Mission Control") UI shell and authentication.
  • A secure secret management service (e.g., Google Secret Manager).
  • The AI Insight Engine (to provide data for the ROI & Impact Analysis dashboard).