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DevOps For Power BI - Soterre

Soterre for Power BI Header Image - Guardrails to Success

Guard Rails for Power BI DevOps Excellence

Eliminate the risks of delivering content ensuring accuracy, reliability and better Power BI governance, all with zero-effort from developers.

  • Protect against missteps with zero-touch version control for Power BI.
  • Enable frictionless compliance for citizen developers.
  • Place built-in guardrails for visibility and rollback to maintain trust.
  • Provide visual differences and merge of visualizations for business analysts.
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Extended Power BI Deployment Pipelines

Soterre enhances the Power BI deployment pipeline by streamlining processes while adding built-in governance and automation—bridging the gap between ease of use and enterprise-grade control.

  • Facilitate deployment plans with approvals, scheduling, and reuse.
  • Simplify post-deployment update tasks for data sources, semantic layers and more.
  • Provide business-friendly Power BI DevOps, enabling faster and more reliable analytics delivery while lowering-risk.

Ensure Power BI Consistency

Provide business analysts the ability to ensure common Power BI DAX expressions are being reused.

  • Identify mismatched Power BI DAX expressions across workspaces, reducing confusion and rework.
  • Empower analysts to reuse approved measures and definitions with a searchable, centralized metadata catalog—promoting consistency and trust.
  • Ensure alignment on metrics before going live, preventing costly misinterpretations at the executive level.

Explore More

Go beyond basic Power BI search with Global Search. Explore platform, environment, or project levels, and find granular details using 60+ search functions, including table names and text in Power BI DAX expressions.

Screenshot of Soterre for Power BI Showing Global Search
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As the BI space evolves, organizations must take into account the bottom line of amassing analytics assets.
The more assets you have, the greater the cost to your business. There are the hard costs of keeping redundant assets, i.e., cloud or server capacity. Accumulating multiple versions of the same visualization not only takes up space, but BI vendors are moving to capacity pricing. Companies now pay more if you have more dashboards, apps, and reports. Earlier, we spoke about dependencies. Keeping redundant assets increases the number of dependencies and therefore the complexity. This comes with a price tag.
The implications of asset failures differ, and the business’s repercussions can be minimal or drastic.
Different industries have distinct regulatory requirements to meet. The impact may be minimal if a report for an end-of-year close has a mislabeled column that the sales or marketing department uses, On the other hand, if a healthcare or financial report does not meet the needs of a HIPPA or SOX compliance report, the company and its C-level suite may face severe penalties and reputational damage. Another example is a report that is shared externally. During an update of the report specs, the low-level security was incorrectly applied, which caused people to have access to personal information.
The complexity of assets influences their likelihood of encountering issues.
The last thing a business wants is for a report or app to fail at a crucial moment. If you know the report is complex and has a lot of dependencies, then the probability of failure caused by IT changes is high. That means a change request should be taken into account. Dependency graphs become important. If it is a straightforward sales report that tells notes by salesperson by account, any changes made do not have the same impact on the report, even if it fails. BI operations should treat these reports differently during change.
Not all reports and dashboards fail the same; some reports may lag, definitions might change, or data accuracy and relevance could wane. Understanding these variations aids in better risk anticipation.

Marketing uses several reports for its campaigns – standard analytic assets often delivered through marketing tools. Finance has very complex reports converted from Excel to BI tools while incorporating different consolidation rules. The marketing reports have a different failure mode than the financial reports. They, therefore, need to be managed differently.

It’s time for the company’s monthly business review. The marketing department proceeds to report on leads acquired per salesperson. Unfortunately, half the team has left the organization, and the data fails to load accurately. While this is an inconvenience for the marketing group, it isn’t detrimental to the business. However, a failure in financial reporting for a human resource consulting firm with 1000s contractors that contains critical and complex calculations about sickness, fees, hours, etc, has major implications and needs to be managed differently.

Acknowledging that assets transition through distinct phases allows for effective management decisions at each stage. As new visualizations are released, the information leads to broad use and adoption.
Think back to the start of the pandemic. COVID dashboards were quickly put together and released to the business, showing pertinent information: how the virus spreads, demographics affected the business and risks, etc. At the time, it was relevant and served its purpose. As we moved past the pandemic, COVID-specific information became obsolete, and reporting is integrated into regular HR reporting.
Reports and dashboards are crafted to deliver valuable insights for stakeholders. Over time, though, the worth of assets changes.
When a company opens its first store in a certain area, there are many elements it needs to understand – other stores in the area, traffic patterns, pricing of products, what products to sell, etc. Once the store is operational for some time, specifics are not as important, and it can adopt the standard reporting. The tailor-made analytic assets become irrelevant and no longer add value to the store manager.