Gitoqlok

Your Qlik Sense handy toolkit.

A Better Way To Version

Every Qlik developer is looking for that one “toolkit”. The one that makes their life easier and more productive by enabling them to do things quicker within the UI.

Say hello to Gitoqlok.

Whether it’s versioning visual objects and data load scripts directly into your browser, or quickly creating thumbnails, Gitoqlok’s free plugin is famous for adding non-native functionalities to Qlik Sense. For larger corporate implementations, it integrates perfectly with Soterre’s zero-touch versioning offer!

SUPPORTED PLATFORMS INCLUDE:
  • GitLab
  • Azure DevOps
  • GitHub
  • Gitea
  • Soterre

A Qlik Developer's Dream Kit

Qlik developers spend a significant amount of time doing monotonous tasks. They’re looking for tools to add to their arsenal, making development more effortless and productive. Gitoqlok empowers developers by providing access to capabilities unavailable in Qlik Sense/Qlik Cloud, all within the Qlik UI.

A Difference You Can See

With Gitoqlok’s Visual Diff Viewer, you can easily compare changes between versions of load-script and sheets, and rollback to the selected version without any tab-switching or leaving your browser! Gitoqlok also detects developer copies of apps, storing their changes in an independent branch and making collaboration efficient as ever.

Spend Less Time Designing

Gitoqlok’s Thumbnail Assistance and Cover Editor feature can quickly generate thumbnails and descriptions for your sheets. 

USING THE THUMBNAIL ASSISTANT YOU
CAN QUICKLY SET:

Follow Your App Lineage

With Dynamic QVD Links, Gitoqlok provides an easy to follow connection path that quickly opens an application, so you can easily trace the origins and destinations of app data with ease. 

Get The Plugin

Unlock seamless version control and superior project management for Qlik Sense with Gitoqlok. Integrate with Git, track changes, collaborate efficiently, maintain data integrity and so much more. Transform your development with over 20+ tools—get Gitoqlok today.

Choose Your Level

GITOQLOK
FREEMIUM

$0

FREE
GITOQLOK FREEMIUM INCLUDES:
GITOQLOK PLATINUM STARTING AT

$995

BILLED YEARLY
GITOQLOK PLATINUM INCLUDES:

Interested In Purchasing Gitoqlok And
QSDA Pro Together?

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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.