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Please note that this webinar Is from a third party vendor, CPA Crossings. We strongly recommend registering no later than one-hour before the webinar begins. Please contact CPA Crossings webinar hotline if you do Not receive your webinar invitation via email within five minutes after registering:  877-370-2220 ext. 1. Thank you.

Date(s):

05/08/2024

Registration Open:

12:00 AM - 9:30 AM

Time:

9:30 AM - 11:30 AM

Facility:

Online

Meeting Type:

Webinars

CPE Credit:

2.00

Field(s) Of Study:

Computer Software and Applications (2.00)

Level of Knowledge:

Overview

Price:

Member: $89.00
Nonmember: $109.00

Individual Discounts:

Not Available

Overview

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.
  • Recognize the impact of integrating Power BI with Excel on the efficiency and effectiveness of data processing, analysis, and visualization tasks, aiding in the development of more streamlined and powerful data analytics strategies within their organizations.

Highlights

The major topics that will be covered in this class include:

  • Overview of the Power BI Tools: Introduction to the Power BI ecosystem, including Excel&rsquo:s Power BI features (Power Pivot and Power Query) and standalone tools (Power BI Desktop, Power BI Service, Power BI Report Builder and Power BI Report Server).
  • Tour of the Tools: Introduction to the interfaces of Power Pivot, Power Query, Power BI Desktop and Power BI Services.
  • Comparative Analysis:
    • Understand the strengths and limitations of Excel&rsquo:s Power BI features versus standalone Power BI tools.
    • Strategic decision-making on when to use each tool for optimal efficiency and accuracy in data analysis tasks.

Prerequisites

None