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Hello Qlik Community, in this post our resident guest blogger and Principal Enterprise Architect, Marcus Spitzmiller, introduces us to visual analyitcs scaling. Marcus is a member of the Qlik Enterprise Architecture team focusing on enterprise deployments and best practices. His areas of expertise include scalability and performance, deployment best practices, integration, and security.
Scaling Visual Analytics
When we talk about scalability, it is often centered around data volumes, users, and the technology behind a given product. However, one should also consider the capabilities that a product provides which enable broad deployment and governance within an organization. It is within this context that we will look at Qlik Sense. Of course, data volumes and users matter too, so if you have a few moments, check out the Qlik Sense Performance Benchmark for that.
Instead of detailing everything in this blog I created a video presentation on this topic. In this video, we will look at Qlik Sense from the standpoint of four main topics that allow you to scale your visual analytics initiatives:
Organizations are continually faced with market pressures to make decisions more quickly. The Qlik Sense platform enables visual analytics to be widely deployed within an organization so people have access to their data, with security and governance, and at scale.
Watch or download (.mp4) this video to learn more:
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