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Drive your business with live KPIs from Fauna

Swiftask queries your Fauna database to extract and visualize your key performance indicators instantly. Turn raw data into actionable insights.

Result:

Stop making decisions based on outdated reports. Get a clear view of your performance at every second.

The complexity of extracting KPIs from Fauna

Fauna is a powerful database, but turning its data into KPIs digestible for decision-makers is often a technical challenge. Between the complexity of FQL queries, the latency of BI tools, and the need for constant refreshing, your data often sits unused.

Main negative impacts:

  • Siloed and inaccessible data: Performance indicators remain trapped in the database, inaccessible to operational teams without technical intervention.
  • Decision-making time lag: Waiting for manual reports or ETL refreshes creates a gap between the reality on the ground and your decisions.
  • High BI maintenance costs: Maintaining complex data pipelines just to display a few KPI charts is a waste of technical resources.

Swiftask automates the extraction of your KPIs from Fauna. Our AI agents query your database, calculate your indicators in real-time, and present them in dynamic dashboards.

BEFORE / AFTER

What changes with Swiftask

The traditional workflow

An analyst must write a complex query to extract data from Fauna, export it to CSV, and then import it into a BI tool to generate a chart. The process takes hours, and the data is already outdated by the time the report is ready.

The Swiftask + Fauna approach

Your Swiftask agent is connected to your Fauna instance. It executes optimized queries in real-time, aggregates data, and updates your dashboard automatically. You see your KPIs updated in seconds.

Setting up your Fauna KPIs in 4 steps

STEP 1 : Connect your Fauna instance

Configure secure access to your Fauna database via Swiftask. No changes to your schema are required.

STEP 2 : Define your key indicators

Explain to the AI agent which KPIs you want to track (e.g., daily revenue, new users, retention rate).

STEP 3 : Automate refreshing

Set the update frequency or trigger the KPI calculation based on a specific event in your database.

STEP 4 : Visualize and share

Access your dashboards in Swiftask or send automated summaries via email or team messaging.

Analytical power for your Fauna data

The AI agent analyzes Fauna collections, performs complex aggregations, and detects trends or anomalies in your data autonomously.

  • Target connector: The agent performs the right actions in fauna based on event context.
  • Automated actions: Real-time KPI calculation. Automatic chart generation. Intelligent alerts for threshold breaches. Report exporting. Historical period comparison.
  • Native governance: Swiftask respects your Fauna data security while offering unprecedented analytical flexibility.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-fauna@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why choose Swiftask for your KPIs

1. Instant analytics

Reduce the time to access information from days to milliseconds.

2. Reduced technical backlog

Free your engineers from repetitive BI requests. The AI handles business queries.

3. Data accuracy

Direct interrogation of the Fauna source of truth, without risk of error from intermediate exports.

4. Decision-making agility

React immediately to performance changes thanks to constant visibility.

5. Guaranteed compliance

Fine-grained management of data access rights within Swiftask.

Data security and governance

Swiftask applies enterprise-grade security standards for your fauna automations.

  • Read-only access: Swiftask accesses Fauna with minimal necessary permissions, ensuring your data integrity.
  • Encrypted connections: All communication between Swiftask and Fauna is encrypted in transit.
  • Full audit trail: All queries made by the AI agent are logged for total transparency.
  • Environment isolation: Separate management of production and staging environments.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Operational impact

MetricBeforeAfter
KPI update delay24 hours (batch)Real-time
Data workloadHigh (SQL/FQL queries)Zero (autonomous AI)
BI solution costLicenses and infrastructureOptimized and integrated
Deployment timeWeeksMinutes

Take action with fauna

Stop making decisions based on outdated reports. Get a clear view of your performance at every second.