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Power BI Performance Improvement: 3-Wk Workshop

MAQ Software

An assessment to analyze your Microsoft Power BI implementation and provide recommendations for improving performance.

Join us for a three to four-week engagement where we will review the current state of your organization’s Power BI reports, data ecosystem, data architecture, and data models. Through this assessment, we will help you create a roadmap to improve the performance of your reports and dashboards.

Agenda

  • Evaluation of your data ecosystem’s high-level architecture
  • Evaluation of your existing reporting ecosystem against Power BI best practices
  • Identification of pain points within your data ecosystem
  • Identification of components within your architecture that require modifications to improve performance

Deliverables

At the end of this workshop, you will have the following deliverables:

  • A list of high-level performance recommendations on report-level changes, architecture changes, infrastructure-level changes, DAX optimization, and recommendations for implementing proper embedded solutions
  • Post-Performance load time will be improved by 60-70%*.

Note

  • Depending on the complexity of your system, this assessment might require us to collaborate with business analysts, business leaders, BI/DW report creators, and database administrators within your organization
  • Any collaboration with stakeholders will be completed prior to the actual assessment
  • Workshop timings will be between 1:00 AM PST – 10:30 AM PST.

*Performance of the reports are dependent on data volume and design choices

https://gallery.azure.com/artifact/20151001/maqsoftware.maq_power_bi_performance_improvement_3week.1.0.0/Artifacts/SampleImage/a9b3cdfd-9a28-4397-a5e0-c03793b11ba9.png
https://gallery.azure.com/artifact/20151001/maqsoftware.maq_power_bi_performance_improvement_3week.1.0.0/Artifacts/SampleImage/a9b3cdfd-9a28-4397-a5e0-c03793b11ba9.png
https://gallery.azure.com/artifact/20151001/maqsoftware.maq_power_bi_performance_improvement_3week.1.0.0/Artifacts/SampleImage/0af69151-fe0c-42c4-9b6a-a0f6442e01b5.png