QSDA PRO

Identify issues and errors in your Qlik Sense applications
to deliver cleaner, leaner, and faster apps

Boost Your Qlik Development

A key principle of DevOps is to automate almost everything. QSDA Pro fits your DevOps vision by automating the quality validation of your Qlik apps and determining problems before they occur. Using this tool will boost your BI engineer work by:

The Testing Engine For Qlik
Choose The Configuration That Fits Your Organization Best

Automate Your Testing Activities With The Corporate Implementation License

Working within the QSDA Pro application, BI engineers can quickly assess their development work and receive leading-edge suggestions before delivering to QA. QSDA Pro helps you produce cleaner, leaner, and faster apps by identifying unused resources, such as fields, that can be removed. Errors such as missing fields, syntax errors or missing key values are also flagged for review. QSDA Pro tests all object calculation times for you, ensuring you catch any performance problems.

Gain Efficiency By Testing Directly From Qlik With Gitoqlok

Ease your development further by testing your apps without leaving the Qlik platform. With Gitoqlok, you can kick off an inspection from your browser and see within your Qlik UI the results. BI engineers can also take advantage of all the other time-saving features within Gitoqlok including app versioning, dynamic QVD links in the load editor, and security rules manager. Besides the QSDA Pro – Gitoqlok integration, you can learn more about the other benefits Gitoqlok offers here.

Discover The Full DevOps Experience

Testing is not a stand-alone task, but part of the full DevOps process to create a repeatable, reliable release process. When you level up to “the full testing suite” experience with the Soterre integration license, tests, and inspections can be kicked off based on business rules without BI engineer interaction. 

Additionally, analytics from testing can reveal the most common errors, pinpoint the areas where mistakes frequently occur, and provide valuable insights for training contractors and new employees. The best developers can be identified for leading trainer-the-trainer programs and coaching junior engineers. QSDA Pro works seamlessly with Soterre’s zero-touch version control and deployment capabilities to create the most reliable and efficient Qlik implementation possible!

Assess 4 Key App Elements

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QSDA PRO

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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.