Sales and Marketing Data Analytics with Excel and Power BI

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Overview

  • CODE
    SMDAEP
  • FEES K4,000
  • LOCATION Online
  • CONTACTS
  • DATES

    Duration:  2 Weeks

Course Description

Course Objectives

This course will equip you with the skills and strategies to make data-driven sales decisions confidently. By the end, you’ll be able to:

  • Master the fundamentals of Power BI and its applications in sales analytics
  • Connect, clean, and transform sales data from multiple sources
  • Create interactive dashboards that visualize key sales metrics
  • Analyze sales performance trends to identify strengths and weaknesses
  • Develop predictive models for accurate sales forecasting
  • Segment customers to optimize targeting and improve conversion rates
  • Automate sales reporting to save time and enhance decision-making
  • Use data storytelling to present insights in a compelling, actionable way

Target Audience

This course is tailored for professionals who need to leverage sales data for smarter decision-making and improved performance. Whether you’re in sales, marketing, or business strategy, this training will help you extract insights that increase revenue and efficiency.

Ideal participants include:

  • Sales managers and executives looking to track team performance and optimize strategies
  • Sales analysts who need to transform raw data into actionable insights
  • Business development professionals focused on identifying growth opportunities
  • Marketing professionals aligning campaigns with sales data for better ROI
  • Customer success managers analyzing churn and retention trends
  • Finance professionals tracking revenue trends and forecasting sales pipelines
  • Retail and e-commerce professionals looking to understand purchasing behavior
  • Entrepreneurs and small business owners who want to drive sales using data
  • Anyone responsible for sales reporting, forecasting, and performance analysis

Course Outline


Training Outline

Module 1: Introduction to Power BI for Sales Analytics

  • Understanding the Power BI Interface and Features
  • Overview of Sales Data Analytics and Its Importance
  • Connecting Power BI to Sales Data Sources
  • Case Study: Successful Sales Analytics Using Power BI

Module 2: Data Preparation and Transformation

  • Importing Sales Data from Various Sources (Excel, CRM, etc.)
  • Data Cleaning: Handling Missing Values, Duplicates, and Errors
  • Transforming Data for Analysis: Creating Calculated Columns and Measures
  • Power Query: Advanced Data Shaping Techniques

Module 2: Data Preparation and Transformation

  • Importing Sales Data from Various Sources (Excel, CRM, etc.)
  • Data Cleaning: Handling Missing Values, Duplicates, and Errors
  • Transforming Data for Analysis: Creating Calculated Columns and Measures
  • Power Query: Advanced Data Shaping Techniques

 

Module 4: Advanced Sales Analytics Techniques

  • Trend Analysis: Identifying Sales Patterns Over Time
  • Sales Forecasting: Predicting Future Performance
  • Customer Segmentation and Profiling
  • Analyzing Sales Funnel Metrics to Improve Conversion Rates

Module 5: Leveraging DAX for Sales Analytics

·        Introduction to Data Analysis Expressions (DAX)

·        Writing DAX Formulas for Calculated Columns and Measures

·        Using DAX to Perform Time Intelligence Calculations

·        Advanced DAX Techniques for Sales Data Modeling

Module 6: Integrating Power BI with Sales and Marketing Tools

·        Connecting Power BI with CRM Systems (Salesforce, Dynamics 365)

·        Aligning Sales Data with Marketing Campaign Performance

·        Automating Data Refresh and Report Distribution

·        Integrating Power BI with Other Microsoft Tools (Excel, Teams, SharePoint)

Module 7: Enhancing Sales Presentations with Power BI

·        Storytelling with Data: Best Practices for Presenting Sales Insights

·        Customizing Reports for Different Stakeholders (Executives, Sales Teams)

·        Creating Mobile-Optimized Reports for On-the-Go Access

·        Sharing and Collaborating on Power BI Reports

Module 8: Managing and Securing Sales Data in Power BI

·        Best Practices for Data Governance in Power BI

·        Implementing Row-Level Security to Protect Sensitive Sales Data

·        Monitoring and Auditing Power BI Usage

Ensuring Compliance with Data Privacy Regulations