Phoenix - Your AI AssistantAI-powered data analytics dashboard with automated insights
Delivery in
3 days
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What you get with this Offer
Most dashboards show you numbers and leave the interpreting to you. I build dashboards that connect to your actual data — a database, warehouse, spreadsheets, or an API — and layer AI on top to surface what's actually worth noticing: anomalies, trends you'd otherwise miss, plain-language summaries of what changed and why, and forecasts based on your historical data.
This includes standard BI functionality done right (real-time or scheduled data refresh, filtering, drill-downs, exportable reports) plus AI-specific features where they add real value: a "chat with your data" interface so non-technical users can ask a question in plain English instead of writing a query, automated anomaly detection that flags unusual patterns without someone staring at charts daily, and forecasting models for metrics like revenue, churn, or demand.
I connect to SQL/NoSQL databases, warehouses (Snowflake, BigQuery), spreadsheets, and APIs, and build the frontend as a web dashboard your team can actually use — not a one-off Jupyter notebook. Where the data volume or complexity calls for it, I set up a proper pipeline rather than querying live production data on every dashboard load.
Deliverables include the working dashboard, documentation on the data pipeline, and guidance on maintaining or extending it as your data sources grow.
Features
Custom analytics dashboard connected to your real data sources
AI-generated insights & plain-language summaries of trends/changes
Anomaly detection and automated alerting
Forecasting for key metrics (revenue, churn, demand, etc.)
Natural language querying ("chat with your data")
Filtering, drill-downs, and exportable reports
Documentation on the data pipeline and how to extend it
This includes standard BI functionality done right (real-time or scheduled data refresh, filtering, drill-downs, exportable reports) plus AI-specific features where they add real value: a "chat with your data" interface so non-technical users can ask a question in plain English instead of writing a query, automated anomaly detection that flags unusual patterns without someone staring at charts daily, and forecasting models for metrics like revenue, churn, or demand.
I connect to SQL/NoSQL databases, warehouses (Snowflake, BigQuery), spreadsheets, and APIs, and build the frontend as a web dashboard your team can actually use — not a one-off Jupyter notebook. Where the data volume or complexity calls for it, I set up a proper pipeline rather than querying live production data on every dashboard load.
Deliverables include the working dashboard, documentation on the data pipeline, and guidance on maintaining or extending it as your data sources grow.
Features
Custom analytics dashboard connected to your real data sources
AI-generated insights & plain-language summaries of trends/changes
Anomaly detection and automated alerting
Forecasting for key metrics (revenue, churn, demand, etc.)
Natural language querying ("chat with your data")
Filtering, drill-downs, and exportable reports
Documentation on the data pipeline and how to extend it
What the Freelancer needs to start the work
Where your data lives: database, warehouse, spreadsheets, or an API
What decisions this dashboard needs to support, and who will use it
Which metrics/KPIs matter most, and how they're currently calculated
Data volume and refresh frequency needed (real-time vs. daily/weekly)
Whether natural language querying or forecasting is actually needed, or if a clean BI dashboard covers it
Any existing BI tool (Tableau, Power BI, Looker) this replaces or needs to coexist with