Power BI usage scenarios: Prototyping and sharing

Note

This article forms part of the Power BI implementation planning series of articles. This series focuses primarily on the Power BI workload within Microsoft Fabric. For an introduction to the series, see Power BI implementation planning.

As described in the Fabric adoption roadmap, exploration, experimentation, and obtaining useful feedback from a small group of users is the purpose of phase 1 of solution adoption.

A prototype—or proof of concept (POC)—is a Power BI solution that's intended to address unknowns and mitigate risk. This solution can be shared with others to get feedback during development iterations. The solution might be a temporary, short-lived solution, or it might ultimately evolve into a solution that's fully validated and released. Creating a prototype is commonly done for departmental BI and enterprise BI scenarios (and can occasionally be done for team BI scenarios).

Prototyping often occurs naturally during self-service BI development efforts. Or a prototype might be a small project that has specific goals and a scope.

Note

The prototyping and sharing scenario is one of the self-service BI scenarios. For a complete list of the self-service scenarios, see the Power BI usage scenarios article.

For brevity, some aspects described in the content collaboration and delivery scenarios topic aren't covered in this article. For complete coverage, read those articles first.

Scenario diagram

The following diagram depicts a high-level overview of the most common user actions and Power BI components to support prototyping activities. The focus is on using Power BI Desktop during an interactive prototyping session. Focus can also be on sharing in the Power BI service when additional feedback is needed from subject matter experts.

Diagram shows prototyping and sharing, which is about rapidly exploring prototypes or defining user requirements. Items in the diagram are described in the table below.

Tip

We encourage you to [download the scenario diagram](powerbi-implementation-planning-usage-scenario-diagrams.md#prototyping-and-sharing if you'd like to embed it in your presentation, documentation, or blog post—or print it out as a wall poster. Because it's a Scalable Vector Graphics (SVG) image, you can scale it up or down without any loss of quality.

The scenario diagram depicts the following user actions, tools, and features:

Item Description
Item 1. Power BI content creators develop BI solutions using Power BI Desktop.
Item 2. Power BI Desktop connects to data from one or more data sources. Queries and data mashups, which combine multiple sources, are developed in the Power Query Editor.
Item 3. Data model development and report creation are done in Power BI Desktop. The purpose is to help team members understand the meaning and significance of data by placing it in a visual context.
Item 4. Subject matter experts provide feedback during an interactive prototyping session. Based on feedback from the subject matter experts (and other team members), content creators make iterative improvements directly to the BI solution.
Item 5. If desired, content creators publish their Power BI Desktop file (.pbix) of Power BI project file (.pbip) to the Power BI service. Publication of prototyping solutions to the Power BI service is optional.
Item 6. The content is published to a non-production workspace. Its primary purpose is to provide a development area that enables review by team members.
Item 7. An individual report is shared with a colleague to provide read-only permissions to the report (and its underlying data). The sharing operation can be done with a sharing link or direct access sharing. Sharing can be advantageous for a prototyping solution to provide temporary access during the feedback process.
Item 8. Some data sources may require an On-premises data gateway or VNet gateway for data refresh, like those that reside within a private organizational network.
Item 9. Power BI administrators oversee and monitor activity in the Power BI service. A development workspace (containing non-production and prototyping solutions) is usually governed to a much lesser extent than a production workspace.

Key points

The following are some key points to emphasize about the prototyping and sharing scenario.

Interactive prototyping sessions

Interactive prototyping sessions are valuable to get immediate feedback when exploring user requirements, validating calculations, clarifying visual layout needs, validating user experience, and confirming report presentation. Use Power BI Desktop during prototyping sessions that are interactively conducted with subject matter experts.

Power BI service

Publishing prototyping solutions to the Power BI service is optional. It can be useful when there's a need to share preliminary results for feedback and decision-making purposes.

Tip

Prototyping solutions should be clearly separated from other production content so that consumers have proper expectations for a non-production solution. For example, consumers of a prototype report might not expect it to include all the data or be refreshed on a schedule. A prototype report shouldn't be used for business decisions until it's fully validated, finalized, and published to a production workspace.

Workspace

A development workspace is appropriate in this scenario since it involves working with a small team BI collaboration scenario (rather than a personal workspace as described in the personal BI scenario). Once the solution is finalized and fully tested, it can be quickly promoted to a production workspace (as described in the self-service content publishing scenario).

Sharing reports and dashboards

The scenario diagram depicts sharing directly to a recipient (rather than workspace roles or using a Power BI app). Using the sharing feature is appropriate for collaboration scenarios when colleagues work closely together in an informal way. Sharing is useful in this situation because it's limited to a small number of colleagues who need to review and provide feedback on the prototyped solution.

Tip

Individual item sharing should be done infrequently. Since sharing is configured per individual items in a workspace, it's more tedious to maintain and increases the risk of error. A valid alternative to sharing (not depicted in the scenario diagram) is to use workspace roles (described in the team BI scenario). Workspace roles work best when colleagues need access to all items in a workspace.

Gateway setup

Typically, a data gateway is required when accessing data sources that reside within the private organizational network or a virtual network. The On-premises data gateway becomes relevant once a Power BI Desktop file is published to the Power BI service. The two purposes of a gateway are to refresh imported data, or view a report that queries a live connection or DirectQuery semantic model—previously known as a dataset (not depicted in the scenario diagram).

Note

For team, departmental, and enterprise BI scenarios, a centralized data gateway in standard mode is strongly recommended over gateways in personal mode. In standard mode, the data gateway supports live connection and DirectQuery operations (in addition to scheduled data refresh operations).

System oversight

The activity log records user activities that occur in the Power BI service. Power BI administrators can use the activity log data that's collected to perform auditing to help them understand usage patterns and detect risky activities. Auditing and governance requirements are typically less stringent for prototyping and personal BI scenarios.

For other useful scenarios to help you with Power BI implementation decisions, see the Power BI usage scenarios article.