How to Build a Self-Service Power BI Data Governance Strategy

We live in a data-driven business culture. Business professionals are learning to perform daily analytics work with less and less reliance on IT. Unsurprisingly, self-service Power BI is on the rise. This solution helps everyone in your organization find insightful answers to critical business questions.

More than 3,000 CIOs ranked analytics and BI as the top differentiating technologies for their organizations. With quick access to valuable information, Power BI keeps businesses self-aware and makes them ready to adapt to the unpredictable before their competitors.

At the same time, using a self-service reporting system with little or no control over data governance means business users are likely to end up with duplicate data. This duplication eventually leads to inconsistencies in reports throughout your organization, severely denting your bottom line.

To achieve long-term success in the age of self-service Power BI, you need to successfully build a data governance strategy.

Why Data Governance is Needed

To take control of data consistency, security, and availability, data governance is mandatory as soon as you deploy self-service Power BI. Most organizations start using self-service Power BI systems with no data governance strategy in place. Soon they realize their reporting is out of control—and there’s no single source of truth to rely on when making crucial business decisions.

This incomplete or incorrect data leads to less credible reports, preventing business users from adopting the tool. Moreover, with little to no control over data, businesses are likely to fail when it comes to meeting security and privacy compliance requirements.

If you find yourself struggling to deal with this reporting mess, you aren’t the only one. Our latest survey shows that 93% of respondents using self-service BI system rate governance as a major concern. Thankfully, the evolution of Microsoft Power BI has led to significant improvements to help you achieve data governance goals.

However, relying solely on built-in data governance features of a self-service Power BI platform won’t solve all of your data challenges. To develop a robust data governance framework, you must also consider the people and processes involved.

How to Build a Power BI Governance Model

A governance model is all about defining the best practices, procedures, and responsibilities for efficient and secure usage of your Power BI platform. Microsoft already has valuable information on data governance that you can use as a starting point. But, you’ll also need to consider pointers that are relevant to your organizational needs.

This is how you build your own Power BI data governance model to get the most out of the platform.

1. Identify Deployment Approach

Power BI can be used in three different modes—Business-Led Self-Service BI, IT-Managed Self-Service BI, and Corporate BI. The control over data and the way information gets handled will depend on these installation modes.

All of these modes can co-exist, depending on the business requirements and user base. So, it’s essential to know data governance methods for each mode.

Business-Led Self-Service BI: Business users have full involvement and control in this self-service mode. Users explore both governed and ungoverned data sources.

IT-Managed Self-Service BI: This mode involves co-ownership between IT and BI leaders. Business users generate reports from a high-quality, governed dataset produced by IT. Both IT and BI leaders define regulations and procedures while benefiting from accuracy and consistency in data.

Corporate BI: In Corporate BI mode, IT has full ownership of the entire solution. Business users do not have a monitoring layer to change reports. However, Corporate BI guarantees complete data integrity and safety.

2. Define Roles

Two fundamental types of users access self-service Power BI platform—power users and casual users. Power users need access to advanced features to create insightful reports. Casual users require flexibility to modify existing reports, such as drill-down and field selection.

Identifying these differences, and providing the right access according to roles, ensures that users have access to information without compromising security. Power BI offers tools that help you set up access permissions per data source, per user, and individual dashboards and reports.

3. Publish and Monitor

Monitoring what users are doing is crucial for effective data governance. Knowing what kind of reports users are creating, editing, and deleting provides a clear picture of how data is being used.

Monitoring helps you keep track of changes so data integrity isn’t compromised. You can easily monitor usage with the Power BI audit log, which reveals who accessed what and any changes that user made.

Self-Service Power BI Governance Best Practices

To achieve maximum productivity, without compromising security, you’ll want to follow these self-service Power BI governance best practices.

Check Data Quality

Performing regular data quality checks and developing security measures maintain the accuracy and integrity of organizational data. Collaborate with IT to identify data quality issues before the business user starts generating reports.

Develop Training Materials

Good data governance begins with sufficient training for any team member who touches Power BI. Training could include developing videos, manuals, and data governance documents that offer relevant information according to roles and needs.

Encourage the Use of Standardized Datasets

To encourage users to utilize authoritative data, make use of Power BI’s certification and promotion feature. The platform allows IT admins to mark datasets as certified when they meet the defined quality criteria. Additionally, the promotion feature enables users to promote their datasets for further exploration, providing an opportunity to reuse data.

Find a Balance Between IT and BI Leaders

A self-service BI platform is likely to invite conflicts between IT and BI leaders in the long run. Each party has individual preferences towards data governance procedures and regulations. To achieve greater efficiency with Power BI, find a balance between both teams.

The best way to strike this balance is by establishing a data governance committee that includes members from both IT and BI. This way you build a data governance plan that is mutually agreed upon, reducing the chances of tension and misalignment.

Data governance is an integral part of Power BI implementation. A strong data governance strategy empowers each business unit to use data intelligently. In the end, your teams will produce more creative and valuable insights, while maintaining data security and privacy.

Need support with self-service Power BI data governance? We’re here to help you reach long-term success.

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