https://store-images.s-microsoft.com/image/apps.60466.5680eeac-a07f-4905-ac86-c21b593dde0e.b00d69a1-a05f-4939-9043-9cc47158de00.b0cbadd8-d7e6-44fe-b250-27deb502fbbc

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

במבט מהיר

https://store-images.s-microsoft.com/image/apps.41439.5680eeac-a07f-4905-ac86-c21b593dde0e.b00d69a1-a05f-4939-9043-9cc47158de00.e870d56c-5051-40db-a9df-c335936eb7aa
https://store-images.s-microsoft.com/image/apps.61097.5680eeac-a07f-4905-ac86-c21b593dde0e.b00d69a1-a05f-4939-9043-9cc47158de00.3344e5ad-3363-42fb-af6d-f8bae058fff7

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