Power BI Best Practices

Have you deployed or are thinking about deploying Power BI in your organization? Before you dive in too deep, there are some best practices you should consider following.

5 min readApr 21, 2022


Access to data for business users through self-service business intelligence (BI) has gained momentum in every industry. Digitalization is a primary strategic initiative for organizations of every size today to stay nimble and competitive. Self-service business intelligence with Power BI has democratized access to data for business users and is complimentary to digitalization. Businesses no longer have a bottleneck in getting reports from IT for prompt data-driven decision-making.

Based on our experience working with many clients to maximize the collaboration between cross-functional teams, organizations who want to implement Power BI as a self-service BI tool should have a clear understanding of the various components and elements of Power BI as well as the best practices. They should understand how the technology framework integrates people and processes within the organization.

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To foster personal, departmental, and enterprise skill maturity, there should be support and encouragement from all leaders. To create a scalable self-service BI, a strong foundational core is needed. This foundation is built around people, processes, and technology.


Define the right roles, responsibilities, and level of engagement for a steering committee to provide direction, mentorship, and support. Address and ensure you have each of these in place to effectively enable enterprise adoption, user engagement, and experience:

Champions — The department champions are key and should promote enterprise BI and foster BI development projects or competitions to encourage adoption.

Training — Have regularly planned and varying training formats available for users over the course of the adoption (external, internal, virtual, in-person, etc).

Standards — BI standards should be shared, clear, and regularly reviewed with users, so they are as clear as possible on the content they are using. This includes BI templates.

Knowledge — A user community will support increased knowledge sharing and adoption via channels such as:

  • Teams site/chat
  • Lunch & Learns
  • “Office hours for Q&A”
  • Regular communications for updates

Support — Multi-channel support is key for users to get quick help and not overwhelm the IT support team. Ex: champions, data owners/stewards, user groups, helpdesk/internal, and Microsoft direct.

As users advance in their skills, knowledge, and understanding of the tool and content, user adoption, acceptance, and momentum will continue to progress.


Leverage optimal data flow and integrations within Power BI for effective datasets, modeling, and reporting. Define the steps for how to implement a true self-service and certified data process for the business. Provide guidance around how quality data content will be made available to the end-users.

In order to scale self-service BI, a model should be established and implemented in Power BI to enable personal, departmental, and enterprise content.

There are a few questions you can ask yourself as you are building out your Power BI ecosystem such as:

  • What type of permissions are needed?
  • What type of content is it?
  • How many reports & dashboards should be included?

Encourage data exploration locally. However, data sets should be certified before sharing, and then shared consistently via Workspaces or Apps for larger enterprise consumption.


Establish Power BI foundational infrastructure and architecture early and follow best practices for core Power BI functions of effective modeling and reporting. Adopt a flexible agile methodology that provides guidance on priorities, work, and backlog management. Align self-service BI goals with business priorities.

Data Visualization

Keep dashboards simple and consistent to help user understanding and adoption. A simple dashboard will provide the steering committee and data owners with detailed tracking of the most used content, peak usage times, and items that may need retiring.

Creating a data dictionary within Power BI will ensure consistency across the enterprise adoption process and enable users to quickly find key data, definitions, and calculations as needed.

BONUS — Communication

A regular communication plan and cadence is a good practice to keep your Power BI user community up to speed on important content releases, changes, security as well as project updates.

  • Updates on releases of new data sets, reports, and/or dashboards.
  • Updates relating to upcoming support events and training.
  • Information on approved file storage locations.
  • Requirements for handling sensitive data and personally identifiable information.
  • Information on how to get the content certified.
  • Announcements on key changes to data artifacts and change log (if appropriate).
  • Information on data retention and purge requirements.
  • Governance guidance and approaches by the steering committee.
  • Location/update/changes to best practices and template documents
  • Updates from internal BI competitions/back-offs as well as announcements regarding business impact that have been realized or implemented as a result of new BI efforts.

In summary, adoption of self-service BI requires critical thinking and willingness to give businesses responsibility of data. The steering committee is comprised of senior leaders, system owners, process owners, data stewards, data owners, and end-users all are responsible to make self-service BI successful.

Any organization starting on self-service BI initiative or who have already started should understand that this a long journey with high ROI. All the components of Power BI and how they interact with each other should be well understood for successful implementation.

The adoption is a change management process that is time-consuming and a shift in mindset is needed. Following the best practices and providing the support to employees to gain necessary skills is key to success.

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