Contact Us
Partner Portal
Help Desk

« All Events

  • This event has passed.

Customer Update Session: The Power of DevOps for Qlik

September 26 @ 9:00 am - 10:30 am

Customer Update Session - The Power of DevOps for Qlik

Get the Most Out of your Motio solutions for Qlik: Soterre, QSDA Pro and Gitoqlok

Thursday, September 26, 2024

9-10:30 am Central / 3-4:30 (UK) 4-5:30pm CEST for EMEA customers/US/SA

5-6:30 pm Central for US Pacific, ROW

You are committed to providing Qlik to business users helping them to get quick answers to business questions, making analytics accessible, and creating an environment where power users can build their sheets and apps. In practice, this can be quite complex. You utilize the Motio toolset to establish the most reliable and efficient delivery process, ensuring both accuracy and speed.

Motio has expanded its development team to swiftly introduce new features to enhance Qlik. In this webinar, we will share information about these new capabilities, explain how to implement them and showcase how other customers have benefited from their use.

Additionally, we will outline the roadmap for the upcoming year and seek your input on the critical needs of your organization to elevate processes to a higher level.

Agenda:

DevOps for Qlik: boost your accuracy and speed.

  • From DevOops to DevOps.
  • Critical features to Code & Build Qlik App faster.
  • Automated Testing & Inspection to Improve Quality.
  • Agile Deployment to respond fast to business needs.
  • Operate and Monitor made easy.
  • Migrate to the Qlik Cloud faster.

Our plans for the future

  • Mass Update
  • Enhance the Qlik UI with a Performance Overlay

Details

Date:
September 26
Time:
9:00 am - 10:30 am
Website:
https://motioinc.trainercentralsite.com/session/customer-update-session-the-power-of-devops-for-qlik-3451014976#/?source=website

Organizer

Motio, Inc.
View Organizer Website
Ready to streamline and automate your BI & analytics platforms?
Get A Demo
White Motio Logo Image
Solutions
Products
About Us
Resources
Contact
  • Tel:1 (972) 447-9595
  • Toll Free:1 (833) 855-3073
Follow Us
Youtube Linkedin Twitter
© 2024 Motio. All rights reserved
Scroll to Top
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.