This architecture is designed for public-data-only brand monitoring with three priorities:
The system should assume that some sources are available via RSS, public web pages, public search results, social public endpoints, and manual uploads. The architecture should degrade gracefully when a source is temporarily unavailable.
Google Alerts-style search-driven discovery where needed
Normalization layer
Basic sentiment / severity tagging
Triage layer
Executive/priority brand override rules
Storage and reporting layer
Use a simple pipeline:
Public sources -> collector jobs -> normalize/dedupe -> severity scoring -> storage -> dashboard + alerts + archive
This keeps the system explainable and easy to operate. It also avoids over-engineering for a first version.
Pros: - Familiar for non-technical operators - Fast to inspect manually - Good for lightweight reporting - Easy export/share
Cons: - Weak data modeling - Limited deduplication / relational structure - Not ideal for large-scale event volume - Concurrency and formula complexity become painful - Harder to preserve raw event history cleanly
Best use: - Executive report views - Manual review queue - Simple stakeholder-facing status sheet
Pros: - Better structure than Sheets