Warehousing and purchases

Inventory Data Analysis Using Business Intelligence and Spreadsheet Tools

In today’s data-driven business environment, inventory management is no longer just about counting stock—it’s about interpreting data to make smarter, faster decisions.

  • 5training days
  • 5modules
  • 10sessions
  • 30topics
Inventory Data Analysis Using Business Intelligence and Spreadsheet Tools
5days

About the programme

Course Overview

In today’s data-driven business environment, inventory management is no longer just about counting stock—it’s about interpreting data to make smarter, faster decisions.

Traditional spreadsheets and static reports are no longer sufficient to meet the demands of modern supply chains. Tools like business intelligence and spreadsheet tools offer powerful capabilities for cleaning, modeling, visualizing, and analyzing inventory data in real time.

This workshop is designed to equip professionals with the skills to transform raw inventory data into actionable insights using these tools. Over five intensive days, participants will learn how to prepare data, build dynamic dashboards, analyze performance indicators, and forecast inventory needs. Through hands-on exercises and practical scenarios, attendees will gain the ability to identify trends, reduce waste, and optimize stock levels.

Whether you're a supply chain analyst, inventory manager, or operations planner, this training will help you unlock the full potential of your data and drive operational excellence.

Expected Learning Outcomes

  • Understand the fundamentals of inventory data analysis using spreadsheet and business intelligence tools

  • Learn how to clean and prepare data for analysis

  • Create interactive dashboards and reports

  • Analyze performance indicators to support decision-making

  • Integrate data from multiple sources for a holistic view

Who Should Attend

  • Inventory and supply chain professionals
  • Operational data analysts
  • Planning and logistics managers
  • IT staff in warehousing and distribution
  • Entrepreneurs in retail and e-commerce

Course Modules

Open any module to see its sessions and topics.

01

Fundamentals of Data Analysis

2 sessions · 6 points

Session 1Introduction to Inventory Data

  • Importance of data in inventory optimization
  • Types of data used in warehouse operations
  • Common challenges in inventory analysis

Session 2Preparing Data for Analysis

  • Data cleaning and handling missing values
  • Categorizing and standardizing data
  • Creating pivot tables in spreadsheets
02

spreadsheets for Inventory Analysis

2 sessions · 6 points

Session 1Analytical Tools in spreadsheets

  • Using statistical functions
  • Trend and variance analysis
  • Building dynamic reports

Session 2Visualizing Data in spreadsheets

  • Choosing the right chart types
  • Customizing designs and labels
  • Linking tables to visual elements
03

business intelligence tools for Inventory Insights

2 sessions · 6 points

Session 1Building Data Models in business intelligence tools

  • Importing and connecting data sources
  • Creating relationships between tables
  • Using DAX for calculated fields

Session 2Designing Interactive Dashboards

  • Selecting effective visual components
  • Setting filters and slicers
  • Sharing reports across digital collaboration tools
04

Performance Analysis and Decision Support

2 sessions · 6 points

Session 1Key Inventory Performance Indicators

  • Inventory turnover rate
  • Waste and damage ratios
  • Forecast accuracy vs. actual demand

Session 2Data-Driven Decision Making

  • Identifying weaknesses and opportunities
  • Creating executive-level reports
  • Making recommendations based on insights
05

Integration and Practical Application

2 sessions · 6 points

Session 1Linking spreadsheet and business intelligence tools

  • Exporting and syncing data
  • Automating data updates
  • Using spreadsheets as a live data source

Session 2Inventory Analysis Project

  • Selecting a real-world scenario
  • Conducting full analysis
  • Presenting findings and recommendations

Complete your registration

We will contact you within one business day to confirm.

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