Building a Multi-Tenant Analytics Platform: a Practical Guide

A SaaS company serves 50 customers, and each customer needs access to business reports. They may use the same dashboards, but their data must remain separate. Building and managing a different reporting system for every customer would take considerable time and money.

A multi-tenant analytics platform offers another approach. It allows multiple customer organizations to access reports through one application while keeping their data and permissions separate. Businesses can manage reporting from a central system without giving customers access to other organizations' information.

Building such a platform requires decisions about data storage, security, authentication, and reporting costs. This guide covers the steps to create a multi-tenant analytics platform using Power BI Embedded.

Plan Your Multi-Tenant Analytics Platform Before Development

A multi-tenant analytics platform serves several customer organizations through one application. Each customer, or tenant, has its own users and access permissions. The application manages these customer accounts while connecting them to the correct reports and data sources. This setup is common in SaaS products that offer analytics as part of their customer experience.

Before development starts, businesses need to understand how many customers will use the platform and what reports they require. A company serving ten customers may work with a shared semantic model, while one serving hundreds may need separate workspaces. Customer data requirements also matter, particularly when organizations operate under different security policies. These decisions affect how the platform stores and delivers reporting data.

Consider reporting costs at this stage. Under Power BI's app-owns-data embedding model, external customers don't need individual licenses to view reports, but the application requires suitable capacity for production use. Report creators still need appropriate publishing rights, so reviewing Power BI license requirements can help businesses plan their costs. The total budget should also account for application hosting, database storage, and ongoing maintenance.

Choose How to Separate Customer Data

Separating customer data is one of the main decisions when building a multi-tenant analytics platform. Power BI supports different approaches, and the choice affects how you maintain reports and how securely you separate data.

Shared Semantic Model With Row-Level Security

A shared semantic model contains reporting data from multiple customers, with each record linked to a tenant ID. Power BI row-level security (RLS) restricts which records users can retrieve based on their assigned identity. A customer viewing a sales report would only see transactions associated with their organization.

This approach reduces the number of models that reporting teams need to maintain. However, the model must handle queries and refreshes for all customers, which can create performance problems as data grows.

Separate Workspaces for Each Customer

Another approach is to create a Power BI workspace for each customer organization. Every workspace contains the reports and semantic models assigned to that tenant. Businesses can also connect these models to separate customer databases.

This structure provides stronger separation between customer reporting environments and allows capacity to be managed at the workspace level. It also makes customer-specific changes easier, although maintaining hundreds of workspaces requires automation.

Use a Mixed Data Separation Model

Some businesses have customers with different reporting requirements. Smaller customers may use shared models protected by RLS, while larger organizations receive separate workspaces and data sources. The application can manage these arrangements through the same customer-facing interface.

For example, a SaaS provider might use shared reporting for standard subscriptions and separate workspaces for enterprise accounts. This lets the company match its reporting setup to each customer's needs without building separate applications.

Set Up Authentication and Customer Access

Customers need a secure way to sign in before viewing their dashboards. The application must connect each customer account to the correct reporting environment and prevent users from requesting content outside their permissions.

Authenticate Users Through the Application

Under Power BI's app-owns-data model, customers sign in through the SaaS application rather than the Power BI service. Businesses can use their existing customer accounts or connect an identity provider such as Auth0 or Microsoft Entra External ID. After login, the application identifies the customer's organization and assigned reporting permissions.

For example, an accounting platform may let clients open financial dashboards using their existing portal credentials. The same login determines which reports appear in their accounts.

Configure Service Principals and Tenant Profiles

A Microsoft Entra service principal allows the application to authenticate with Power BI without using an employee's credentials. For larger multi-tenant deployments, developers can create service principal profiles that represent individual customer organizations. Each profile can receive access to its assigned Power BI workspace.

Microsoft recommends service principal profiles for applications serving many tenants. This structure also lets you manage reporting content through Power BI REST APIs without relying on one identity with broad workspace access.

Generate Embed Tokens With the Correct Permissions

After a customer signs in, the application's backend requests an embed token for the Power BI content they can access. The token grants access to specific reports or semantic models for the embedded session. When shared models use RLS, the application must supply the correct effective identity and security roles.

The application should determine these values from its trusted customer account records rather than browser requests. This prevents customers from changing a tenant ID to request another organization's data.

Build Your First Customer Reporting Environment

Before adding hundreds of tenants, businesses can test the platform with one customer organization. This provides a working setup that developers can later use when adding more tenants.

The initial setup includes the following tasks:

• Create a customer tenant: Assign a unique tenant ID and store the organization's account information.
• Prepare the data source: Connect the customer's database or apply the correct data filters to a shared source.
• Create the Power BI workspace: Set up a dedicated workspace if the platform uses workspace-based separation.
• Publish reports and semantic models: Add the reports customers need to access through the application.
• Configure the embedding identity: Grant the service principal or customer profile access to the required workspace.
• Connect the reporting interface: Add the Power BI report to the customer application using the embedded analytics API.
• Set up data refresh: Configure suitable refresh schedules and data source credentials for the customer's reports.

Once the first tenant works correctly, businesses can use the Power BI REST APIs to automate repeated setup tasks. Creating workspaces and assigning customer profiles through code reduces manual work as the number of tenants grows.

Test Customer Data Security Before Launch

A report that works under an administrator account may behave differently when a customer opens it. Testing needs to confirm that both the application and Power BI apply the intended tenant permissions.

Test Access Using Different Customer Accounts

Suppose a reporting platform serves three retail companies. Each company uses the same sales dashboard but has different transaction records. Test accounts from each organization should only receive the reports and data assigned to them.

The testing team should also try opening reports that belong to another customer. These requests must be rejected even when someone knows the report ID or workspace ID.

Verify Row-Level Security Rules

RLS testing should cover customers with different data volumes and user roles. A regional manager may have access to one branch, while a company administrator can view all branches within their own organization. The semantic model must return the correct records for both accounts.

Power BI provides a Test as role feature for checking model rules. Embedded applications still need separate testing because the effective identity supplied in the embed token determines which RLS restrictions apply.

Check Access Removal and Token Expiration

Customer permissions can change after a report has been published. An employee may leave a company, or a customer subscription may expire. The application needs to stop issuing new embed tokens when access is removed.

Existing tokens can remain valid until they expire, so removing an account may not immediately end an active reporting session. Businesses should account for token lifetime and session handling when managing customer access.

Deliver Different Dashboards Without Rebuilding Everything

Customers often need different reports even when they use the same analytics platform. A marketing agency may provide a marketing dashboard showing campaign spending and conversions, while a logistics company needs delivery performance reports. Other customers may focus on financial results or employee activity. The platform should support these differences without requiring developers to create a separate reporting application each time.

A common reporting interface can display different dashboards based on customer permissions. The application stores the reports assigned to each tenant and loads the relevant content after login. Customers can also have different menus or branding settings without changing the underlying application code. For example, a consulting company may provide a branded reporting portal for each client while managing all portals through one administrative system.

Shared report templates can reduce repeated development work when customers track similar metrics. A software company might use the same subscription analytics report for all customers but connect each tenant to its own semantic model. The platform can then release changes to common report layouts across customer environments through a controlled publishing process. Customer-specific reports can remain separate when an organization needs its own calculations or reporting pages.

Manage Platform Growth and Ongoing Reporting Costs

A multi-tenant analytics platform needs regular management after the first customers receive access. Growing data volumes and more active users can affect report performance, hosting costs, and administrative work.

The following activities help businesses manage the platform as the customer base grows:

• Monitor capacity usage: Review Power BI Embedded or Fabric capacity metrics to identify high resource consumption.
• Track customer activity: Record report views and application activity to understand how customers use dashboards.
• Automate tenant onboarding: Create customer workspaces and assign reports through API-driven processes.
• Review data refresh failures: Detect failed refreshes before customers rely on outdated information.
• Manage customer permissions: Update report access when users change roles or leave an organization.
• Control reporting costs: Compare capacity consumption with customer activity and subscription requirements.
• Maintain report versions: Test model and report changes before publishing them across customer environments.

Large customers may eventually require more reporting resources than smaller accounts. With workspace-based separation, businesses can assign demanding customer workspaces to different capacities. This lets the platform handle different workloads without forcing every customer into the same capacity.

Conclusion

Building a multi-tenant analytics platform involves more than displaying Power BI reports inside an application. Businesses need to manage customer identities, keep reporting data separate, and control how each tenant accesses its dashboards.

Power BI Embedded supports both shared semantic models and separate customer workspaces. The right structure depends on customer requirements, data volumes, and the level of separation each organization needs.

A platform built around clear tenant permissions and automated reporting processes can serve more customers without requiring a separate application for each. Regular security testing and capacity monitoring also help keep reporting reliable as the platform grows.