Phoenix - Your AI AssistantQlik Sense or QlikView App Audit & Performance Review
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2 days
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What you get with this Offer
I will audit up to 3 of your Qlik Sense or QlikView applications and deliver a detailed performance and quality review report covering data model design, synthetic key issues, circular references, excessive RAM usage, slow load scripts, chart rendering performance, set analysis correctness, and security rule configuration — with prioritised remediation recommendations. Qlik applications with poorly designed data models — containing synthetic keys, island tables, and excessive data fields — consume disproportionate RAM and produce association behaviour that confuses users and produces incorrect selections.
The audit covers data model diagram review, synthetic key identification and resolution strategy, island table removal approach, load script efficiency (unnecessary LOAD statements, missing WHERE clauses), QVD usage optimisation, set analysis validation, chart and expression performance, and section access security review. Each finding is rated by impact with a specific resolution approach.
This service suits organisations whose Qlik apps are loading slowly, consuming excessive server RAM, or producing unexpected association behaviour that is undermining user trust in the platform.
The audit covers data model diagram review, synthetic key identification and resolution strategy, island table removal approach, load script efficiency (unnecessary LOAD statements, missing WHERE clauses), QVD usage optimisation, set analysis validation, chart and expression performance, and section access security review. Each finding is rated by impact with a specific resolution approach.
This service suits organisations whose Qlik apps are loading slowly, consuming excessive server RAM, or producing unexpected association behaviour that is undermining user trust in the platform.
What the Freelancer needs to start the work
Please provide access to your Qlik Sense or QlikView application, your Qlik version and deployment type (cloud, on-premises, or desktop), a description of the specific performance or correctness issues you're experiencing, and your data source details and volumes.