Qlik Qonnections Recap: A View for Everyone

Qlik Qonnections Recap: A View for Everyone

bigstock-Businessman-Looks-Through-Magn-1600695After attending my first Qonnections, I felt like I was chock-full with new knowledge and insight into the future of Qlik. From new Qlik Sense features to more information about how to integrate QlikView with R and Python, I wasn't sure what I wanted to tackle first. I took some time to get my thoughts together and put them into print.

 

I wasn't sure what to expect from Qonnections, but I was not disappointed. The keynote from Mike Capone was fantastic. It was filled with information on the future of Qlik products and provided a refreshing view from someone who has only been at Qlik for a mere 4 months. Stephen Dubner and Steven Levitt, the authors of Think Like a Freak, offered a different approach to analytics. Their creative approaches to problem solving made us laugh and also spurred thought about going against the grain when looking for a solution. Josh Good from Qlik provided his five favorite things about new developments at Qlik (https://blog.qlik.com/these-are-a-few-of-my-favorite-things), but since it was a three day event, I'm going to offer my top three observations.

 

1. QlikView and Qlik Sense Under One License

In the near future there will be a licensing model that will allow for one license to be used between QlikView and Qlik Sense. This was my favorite non-technical piece to the event. This will allow for the products to piggyback off each other instead of the previous silo approach. Management officials are always very wary about having a migration to Qlik Sense from QlikView, especially when they’re not sure about an exact feature-to-feature comparison. Now, with a minimal uptick in maintenance costs, you'll be able to use both products. The combination of self-service analytics with Qlik Sense and guided analytics with QlikView will be powerful for organizations wanting to use both applications under separate, but similar use cases.

 

2. Qlik Core

For all of the technical users in attendance, the announcement of Qlik Core was huge for Qlik's big data strategy and new associative big data index, which was also announced at Qonnections. Qlik Core will be run on Linux and, coupled with containers in Docker, is going to be blazing fast and scalable. This is still in beta, so I expect some changes.

 

2.5 Multi-Cloud Strategy

Since Qlik Core is still in beta, I'll give my other favorite technical observation: Qlik's Multi-Cloud offering. There was a preview of how this would work, and I think it's going to provide the flexibility that enterprises want and need. You can pick and choose where your data lives. Whether you need external users to access your data, or if you need to publish an application to a server in Germany within your private cloud, it's feasible.

 

3. Cognitive Insight Engine

My favorite feature for end users is the addition of the Cognitive Insight Engine. Simply put, this is going to allow for the recognition of your data and suggest visualizations for you based on data profiling and Augmented Intelligence. This is exciting news since AI will get you started, but don’t get overly excited...it won't build your entire application. This technology will start to take the guesswork out of picking the correct visualizations for certain data sets. End users will now have faster time to insight with Qlik giving them a starting point instead of leaving them wondering how to change colors on the bar charts from a single color.

 

All of the innovation in the Business Intelligence and Analytics space is making it more exciting to be a partner with one of the leading companies, making your BI and Analytics dreams a reality. CPS has recently expanded its relationship with Qlik from being an OEM partner to being a full blown Solution Provider, so all of the information presented at Qonnections is going to be even more exciting for us as we grow our Qlik relationship to the fullest. Look for more Qlik blog posts circling back on these topics soon!

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Posted: 5/21/2018 8:49:00 AM by Chris Deniziak | with 0 comments

Filed under: Qlik, Data Analytics

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