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Choose an embedded dashboard when customers mainly need to view, filter, and export a defined set of reports. Choose a broader portal or workspace when they need to explore data, create dashboards, collaborate, or navigate among multiple analytics views. Either way, design tenant access and authentication alongside the user experience—not as a later add-on.
Start with what customers need to do
Ask: do customers need a fixed set of reports, or should they shape and explore analytics themselves? The first is a focused reporting surface. The second is a more complete analytics experience inside your product, with broader navigation and governance requirements.
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| Decision axis | Single embedded dashboard | Portal or workspace |
|---|---|---|
| Customer task | View, filter, and export a defined report | Explore data, create dashboards, collaborate, and use multiple analytics views |
| Navigation | Your product team provides the surrounding navigation | The embedded portal provides navigation among analytics views |
| Product scope | A focused report or chart surface | A fuller analytics application within your product |
| Evaluation focus | Authentication, permissions, filtering, and integration with the host page | Dashboard authoring controls, portal customization, collaboration, and governance, as well as authentication and permissions |
These are product-scope distinctions, not just differences in embed size. Holistics, for example, describes a Single Dashboard for viewing, filtering, and exporting, and an Embed Portal for multiple dashboards and self-service exploration and creation (Holistics’ embedded analytics guide).
When a single dashboard is the better fit
Use a single dashboard when you know which reports customers need and the product should keep them in a guided workflow. This approach keeps the analytics surface focused; your application remains responsible for the surrounding pages and navigation.
#1 Best Overall
- Customers primarily consume reports rather than build them.
- The available views are intentionally limited and curated by your team.
- Filtering and export are enough for the expected customer workflow.
- You want to keep analytics navigation within the host product rather than introduce a separate portal experience.
A focused embed still needs careful access design. Confirm that each viewer can access only the data and actions appropriate to their role and tenant.
When a portal or workspace is worth the added scope
Choose a portal when customers need to move among multiple analytics views or make analytics their own by exploring data and creating dashboards. That gives users more capability, but it also makes the analytics area a more substantial part of the product: you need to decide what users can create, how they collaborate, and how their work is governed.
- Customers need self-service exploration rather than only prebuilt reports.
- They should create or manage their own dashboards.
- They need to navigate among several analytics views in one integrated area.
- Collaboration and controls over user-created content are part of the intended experience.
Holistics frames the choice around whether users need to create dashboards or explore freely. Its page estimates setup at about five minutes for a single dashboard and 15–20 minutes for a portal; those are vendor estimates for its service, not independent benchmarks or estimates of a typical production project.
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Both a dashboard and a portal must enforce access to the right tenant’s data. Microsoft documents two broad Power BI patterns for multitenant applications: separate workspaces for tenants, or a shared workspace whose items use row-level security (RLS) to filter data. Its guidance recommends workspace separation in the usage scenario described on that page. That is guidance for that scenario, not a universal rule for every product or data architecture.
Rank #3
Workspace per tenant
In this pattern, each tenant has a separate workspace containing tenant-specific artifacts and semantic models connected to a separate database. Consider how workspace creation, changes, and offboarding fit your tenant lifecycle and operational model.
Shared workspace with RLS
In this pattern, tenants share Power BI items, while RLS filters which rows a viewer can access. That makes the correctness of identity mapping and security configuration central to the design.
Rank #4
Microsoft’s Power BI Embedded multitenancy guidance describes these patterns and its recommendation. Compare the options against your database layout, number of tenants, tenant lifecycle, provisioning and operations, permission model, and the consequences of a configuration error. The suitable choice depends on how those factors work in your system.
Evaluate embed services against your architecture
Vendor capability pages can help you identify services to investigate, but they do not prove comparative performance, total cost, or suitability for your workload. Treat security and feature descriptions as claims to verify in the product, documentation, and contractual controls.
Best Value
| Service example | What its documentation describes | Useful evaluation question |
|---|---|---|
| Microsoft Power BI Embedded | App-owns-data embedding and multitenancy patterns | Do the documented tenancy and access patterns fit your identity and data architecture? |
| Holistics | A single-dashboard option and a multi-dashboard portal with self-service authoring | Do customers need only curated views, or should they explore and create? |
| Zoho Analytics | Inline embedded visualizations and an ISV/SaaS model with SSO, workspace-per-customer tenancy, white labeling, and provisioning APIs | Does the integration model and provisioning approach match your product? |
| Embeddable | Customer-facing analytics for single- and multitenant applications, including tenant-aware permissions | How are tenant permissions implemented and enforced for your data? |
| Tableau Embedded Analytics | Interactive analytics embedding, with SSO and security capabilities | Can the documented authentication and security capabilities meet your requirements? |
Explore the vendors’ own documentation: Holistics’ embed options, Microsoft Power BI Embedded, Zoho Analytics embedded analytics, Embeddable, and Tableau Embedded Analytics. These are examples to investigate, not ranked recommendations.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Validate the design before you commit
Use a shortlist to test whether a service can support the product experience and the access boundaries you intend to ship.
- Authentication: Determine how customer identities map to analytics identities and how embedded sessions are authenticated.
- Permissions: Check which views, actions, and data each role can access.
- Tenant boundaries: Verify how tenant context reaches the data layer and how isolation is enforced.
- User authoring: If customers can create dashboards, check what they can query, save, share, and change.
- Navigation and branding: Confirm how the portal fits into your product’s navigation and whether its appearance can be customized as needed.
- Operations and governance: Account for provisioning, tenant changes, content management, and the operational impact of your chosen isolation model.
- Evidence and commitments: Validate security implementation and contractual controls instead of treating a feature page as an audit or guarantee.
Holistics describes signed URLs, row-level permissions, mapping authentication to an existing user system, and customization as production topics. Zoho describes SSO and workspace-per-customer tenancy for its ISV/SaaS option, while Embeddable describes tenant-aware permissions and row- or database-level security. Those descriptions identify capabilities to examine; confirm how they work for your configuration.
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