Running Reportr as a service, Business Intelligence Tools
Reportr Agency Implementation, Selling Data Analytics as a Service
Learn how to deliver Reportr as a recurring analytics service to clients by setting up semantic layers, building refreshable dashboards, and training non-technical teams to ask their own database questions. You'll structure pricing around user seats and report complexity, automate client onboarding workflows, and position yourself as the analytics partner who replaces their SQL bottleneck.
Open the decision record for ReportrWhat does running Reportr for clients commit you to?
Published figures for this service. Blank fields are not published.
- Monthly tool cost
- Vendor cost: Business plan free for one year, then $20/month per the pricing page. No setup fees mentioned in the data.
- Time to first value
- Not published
- Payback
- Not modeled, client price, labor, usage, overhead, and expected volume are not supplied
- Guided implementation
- 8 hours
Is Reportr worth running as a client service?
Reportr is a viable managed-service offer for agencies that already manage client SQL databases and can invest in semantic layer setup. The free Business plan for one year (vendor cost $0 during that period) lowers the vendor cost barrier, but the evidence does not support forecasting ROI without your own client pricing, labor rates, and usage volume.
An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.
Before you start
What has to be in place before the first client engagement.
Tools and subscriptions
- Client database connection (MySQL, PostgreSQL, Snowflake, ClickHouse, SQL Server, Oracle, SQLite, MariaDB, Neon, Azure SQL, Amazon RDS, Google Cloud SQL, or AlloyDB)
- AI model API key (OpenAI or Claude BYOK, or AWS Bedrock-hosted models)
- Semantic layer definitions mapping business terms to database schema
- Reportr workspace with role-based access configured
People and inputs
- Technical staff capable of database connection and semantic layer setup
- Understanding of the client's data model to define business rules
- Process for managing user roles and permissions per workspace
- Ability to self-host if data-resident analytics is required
Included with the course
7 working documents for delivering this service.
- Reportr Client Onboarding Checklistchecklist
- Semantic Layer Setup Template for Common Schemastemplate
- Reportr Retainer Pricing Model Worksheetworksheet
- Dashboard Assembly SOP for Monthly Reportingsop
- Role-Based Access Control Configuration Guideguide
- Multi-Step Analysis Prompt Library for Client Use Casestemplate
- Self-Hosted Deployment Security Checklistchecklist
Listed by name. These documents are not yet published as individual downloads.