Data Pipeline
Interactive Demo | AI Analytics
AI Analytics Dashboard for Agencies
A client reporting dashboard that combines social metrics, trend charts, API sync status, AI-written monthly insight summaries, and a recommendation queue.
Performance Trend
Reach and engagement by week
AI Monthly Summary
What changed and what to do next
Channel Breakdown
Platform contribution
Recommendation Queue
Actions ready for review
Client Report Package
What the agency can hand to a client
Implementation Pattern
What this proves technically.
The page is static for the portfolio, but the product shape mirrors a real agency analytics build: API ingestion, SQL models, chart-ready facts, LLM summary generation, and reviewable client outputs.
Metric fact model
select
client_id,
report_month,
channel,
sum(reach) as reach,
sum(engagements) as engagements,
sum(clicks) as clicks,
safe_divide(sum(engagements), sum(reach)) as engagement_rate
from social_platform_events
group by 1, 2, 3;
AI summary contract
{
"client": "Maven Skincare",
"period": "June 2026",
"inputs": ["kpis", "channel_mix", "top_posts"],
"output_schema": {
"summary": "string",
"risks": ["string"],
"recommendations": ["string"]
}
}