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Improve Power BI Performance: 1-Wk Implementation

MAQ Software

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

Join us for a one-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 recommendations on report level changes, architecture changes, and infrastructure-level changes for embedded, web, and mobile to improve report performance
  • 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_1week.1.0.0/Artifacts/SampleImage/32f3c543-3488-4562-b7d9-3922f2bc8466.png
https://gallery.azure.com/artifact/20151001/maqsoftware.maq_power_bi_performance_improvement_1week.1.0.0/Artifacts/SampleImage/32f3c543-3488-4562-b7d9-3922f2bc8466.png
https://gallery.azure.com/artifact/20151001/maqsoftware.maq_power_bi_performance_improvement_1week.1.0.0/Artifacts/SampleImage/1e593fcb-8c65-4d80-81ef-2db464b88872.png