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The Driving Force for Your Qlik Development - Soterre for Qlik

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Transform Your Qlik Development

Motio’s Soterre accelerates delivery, improves quality, and helps developers work up to 25% more efficiently. With higher-quality apps, organizations see stronger analytics adoption and greater business impact.

Engineered around these key principles:

Automation – Eliminate manual tasks and reduce admin busywork. Enable your team to focus on building great apps.

Instant Feedback – Accelerate development with real-time insights into app quality. Adopt continuous improvement and say goodbye to slow QA cycles.

Enhanced User Experience – Envision a 360° view of your apps. Ensure every development decision is data-driven.

Discover how Soterre’s complete DevOps suite amplifies your development process and delivers quantifiable business value.

Download The One-Pager
Download The Product Sheet

Shift To Metadata-Driven Development

Eliminate guessing, build with insights.

  • Gain visibility into tickets — past, open and planned
  • Grasp development changes, including self-service
  • Understand your usage patterns prior to making changes

Confidently plan future sprints with development analytics.

Text Bubbles between Developer and BI Manager saying the App is ready to be deployed

Software That Works For You

Eradicate manual backups and administrative drag; Just develop.

  • Enables zero-touch version control which provides automatic check-ins and commits
  • Rollback of apps, sheets, or visualizations in one click
  • Use its AI-generated descriptions for documentation clarity to save time

Deliver Results 8x Faster

Enable your business to deliver Qlik apps now with necessary controls.

  • Deploy a single sheet, an entire app, or full build
  • Provide essential governance with built-in workflows and approvals
  • Reduce risk and speed deployment with the safety of rollback
Screenshot of Soterre for Qlik Representing Operations

Build Better Apps

Deploy maintainable, scalable Qlik apps with confidence.

  • Receive real-time feedback on where to apply best practices
  • Optimize performance by understanding weak spots and unused resources
  • Improve and learn everyday with built-in expert intelligence

Drink Your Own Champagne

Analytics Intelligence. In Qlik, over Qlik.

  • Empowers D&A teams with KPIs which track development and delivery
  • Measures impact and drive adoption with usage data
  • Brings analytics intelligence into the heart of your Qlik development

Discover how Soterre can enhance your Qlik development.

See Soterre Live
Ready to streamline and automate your BI & analytics platforms?
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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.