This course fills an important need for both financial managers and accountants in the practice of public accounting by offering the tools to help ensure the future success of a business. Practical guidance for the effective use of benchmarking and analytical procedure is also provided. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Learning Objectives
After attending this presentation, you will be able to...
- Identify the differences and synergies between Excel's Power BI tools and the standalone Power BI tools, enabling a clear understanding of when and how to use each tool effectively in various business scenarios.
- Distinguish between the various functionalities and use cases of Power BI tools, empowering participants to select the most appropriate Power BI tool for specific data analysis and reporting needs in their professional roles.
- Identify the key features and functionalities of Microsoft Power Query.
- Distinguish between different data transformation techniques in Power Query, including data cleaning, merging, and pivoting.
- Apply advanced DAX formulas in Power BI to create dynamic and efficient data measures tailored to specific business needs.
- Determine the most effective time-intelligent functions in DAX for analyzing temporal data trends and patterns in Power BI.
- Identify key differences between common DAX functions and their use cases, enabling more strategic and informed decision-making in Power BI measure creation.
- Choose the appropriate DAX calculation processes for validating and ensuring the accuracy of measures in various data scenarios.
- Use PivotTables in Power BI to validate and test the effectiveness of DAX measures, enhancing the reliability of data analysis.
- Categorize the components of an efficient Power BI workflow and identify areas for optimization.
- Evaluate Power BI performance metrics and apply optimization techniques for enhanced usability.
- Assess the capabilities of Power BI Services to effectively share, collaborate, and manage data insights across teams and organizations.
