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Business Intelligence Agent

Your 24/7 data and solutions engine

From raw data to clear KPIs, reports and insights – automatically, reliably and on time.

business intelligence
business intelligence
bi (4)

What does a Business Intelligence agent do?

Extracts data
And from the database and services: automated queries, incremental updates, and snapshots.
Cleans and transforms (ETL/ELT):
Joins, aggregates, window functions, schema and type validation.
Model metrics:
Unified definitions of KPIs (Revenue, CAC, LTV, Churn, Margin, OTD, etc.).
Visualize:
Generates graphs/tables and feeds to an external Dashboard API or creates a PDF report.
AI summaries:
Explains trends, anomalies, and dependencies in understandable language; suggests recommended next actions.
Alarms and subscriptions:
Sends weekly/monthly reports, event alerts, and snapshots to teams.
Data quality:
Validity/completeness/uniqueness rules; automatic checks and escalations.
Scheduling and Orchestration:
Cron/schedule, task dependencies, retries and idempotency.
Data lineage and audit
Traceability from source to KPI, versioning of models and transformations.

Integrations

  • Databases: PostgreSQL / MySQL / MongoDB (read/write, incremental loads).
  • Processing: Google Sheets / BigQuery / Airtable (intermediate tables, lookups and mapping).
  • Visualization: Chart Node / external Dashboard API (embedding in a portal or linking to a dashboard).
  • Communication: Slack / Email (reports, alarms, digests).
  • AI layer: summary of results, interpretations, and recommended actions.
  • Schedule/Cron: regular reports and nightly batch jobs.

Security & Control:

  • TLS, IP allowlist, vault secrets; least privilege (RBAC), 2FA.
  • Full log and audit (correlation IDs, before/after values), data retention and deletion policies (GDPR).
  • Automatic retries (exponential backoff) and duplication protection (idempotence).
  • Quality tests (validations, thresholds, anomalies) before publishing reports.

Brief real-life examples

E-Commerce Performance

Conversion by channel/campaign, RFM segmentation, margin by product; weekly digest in Slack.

Operational logistics

On-Time Delivery (OTD), average delivery time, exceptions by region; daily dashboard + alarm when falling below 97%.

Financial control –

Revenue/expense, DSO/AR aging, deviations from budget; monthly PDF to management.

SaaS metrics

MRR/ARR, Churn/CAC/LTV, cohorts and expansion revenue; anomaly alert.

Production

OEE, scrap rate, downtime reasons; correlations and AI summaries of "what happened and why".

KPI & Reporting:

  • Data freshness: < 60 min for operational; < 24 h for financial reports.
  • Share of successfully passed quality checks: > 99% of critical tables.
  • SLA for reports: 100% within the agreed time windows.
  • Manual operations: −50–80% (export/copy/merge data).
  • Insights Accessibility: +30–60% more users with self-service dashboards.

Compatible with 500+ integrations and hybrid environments (on-prem / cloud).

Audit and maintenance are included.
Activate your Business Intelligence Agent today!
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