Power BI for Financial Analysis and Forecasting + AI

Why did we develop Financial Analysis and Forecasting in Power BI instead of Excel?

While Excel is a powerful tool for financial analysis and forecasting, Power BI has several advantages when it comes to analyzing and visualizing large sets of data.

  • Scalability: Excel has limitations when it comes to handling large sets of data. Power BI, on the other hand, is built for handling and analyzing large volumes of data. It can process data from multiple sources and handle complex relationships between tables.
  • Data Modeling: Power BI has a robust data modeling engine that allows users to create a data model that is easy to understand and work with. The data model can be customized to meet the specific requirements of the business, and it can be used to create complex calculations and measures.
  • Visualization: Power BI offers a wide range of visualizations that can be used to create interactive reports and dashboards. The visualizations can be customized to meet the specific needs of the business and can be easily shared with others.
  • Collaboration: Power BI allows users to collaborate with others in real-time. This makes it easy to share reports and dashboards with colleagues and stakeholders, and to work together on analysis and decision-making.
  • Automation: Power BI allows users to automate data refreshes and report creation. This saves time and reduces the risk of errors, and ensures that the reports and dashboards are always up-to-date.
  • Integration: Power BI integrates with other Microsoft products, such as Excel, SharePoint, and Teams. This makes it easy to share data and insights across different departments and teams within the organization.

Power BI provides a more powerful and flexible platform for financial analysis and forecasting than Excel. While Excel is still a valuable tool for analyzing small sets of data, Power BI is better suited for larger and more complex datasets.

Power BI for Financial Analysis and Forecasting + AI

Training Title: Power BI for Financial Analysis and Forecasting + AI
Day: Sundays only
Timing: 05:30 pm to 08:00 pm
Duration: 17.5 hours
Starting from: Sunday, 15 October 2023
Last date of registration: Tuesday, 10 October 2023
Actual Fee: 17,500/-  | Early bird discount: 12,500/-

How to Pay: Online Payment
Bank: Habib Bank Limited
Title: Irfan
Account No: 11557900292501 | PK02HABB0011557900292501

Note: Successful participants will get the certificate.

Those who are interested in physical classes, please join us at: Office # 511, Park Avenue, PECHS Block-6, Sharah-e-Faisal, Karachi.

Training Highlights

Objective I. Introduction to Power BI

  • Overview of Power BI and its benefits for financial analysis and forecasting
  • The architecture of Power BI
  • Power BI pros and cons
  • Different products of Power BI
  • Understanding the Power BI interface and its main components
  • Importing data sources and connecting to financial data

Objective II. Data Preparation for Financial Analysis

  • Using Power Query for financial data transformation
  • Data cleaning and shaping techniques.
  • Data modelling for financial analysis and forecasting
  • Understanding of Fact and Demission Tables
  • Deep understanding of the relationship and types of joins
  • Working with a calendar table
  • Creating calculated columns and measures
  • Working with M Language

Objective III. Financial Analysis with Power BI

  • Deep drive into Power BI visuals e.g. charts, tables, slicers, & buttons
  • Working with AI Visuals, Drill down, Drill through, Tooltip, Bookmark, Conditional formatting, Sparklines, KPI cards, and custom formatting.
  • Creating a financial statement
  • Building KPIs and dashboards for financial analysis
  • Using DAX formulas for financial analysis
  • Creating financial KPIs and metrics
  • Financial Analysis based on the DoD, MoM, QoQ, YoY, Running Total, MTD, QTD, YTD
  • Financial Comparison, Variance, and Growth Analysis with the same period last month, last quarter & last year

Objective IV. Financial Functions and Forecasting with Power BI

  • Designing effective financial reports and dashboards
  • Building financial forecasting models in Power BI
  • Creating What-If-Parameters for scenarios analysis for financial forecasting
  • Implementing Financial variance and trends analysis

Objective V. Best Practices for Power BI Report for Sharing

  • Sharing and collaborating on financial dashboards with stakeholders
  • Configuring access controls and security settings
  • Scheduling automatic data refreshes and report distribution