
Master data analytics with Excel to analyze financial and operational data for SAS and software companies, using pivot tables, metrics, and charts; learn forecasting and presenting insights.
Build stacked column charts to show bookings by product, family, and region, using a charts template linked to data tables and pivot data for automatic refreshing.
Learn to transfer charts from Excel to Google Slides, adjust sizing and formatting, and present key observations like year-over-year bookings, product mix shifts from premium to standard, and regional performance.
Explore annual recurring revenue concepts by converting bookings into air, and analyze drivers: new air, upsell, cross-sell expansions, and churn, to quantify the value of active contracts.
Stage bookings data for air analysis, creating a quarterly customer view with four columns—start month, end month, number of days, and air—using end-of-month standardization.
Learn to build a high-level ARR trend summary in Excel, compute quarter-over-quarter and percentage changes, and compare new ARR versus land‑and‑expand contributions over time.
Learn to build ARR charts in Excel, including a year-over-year trend chart and a components chart showing new, expand down, sell, churn, and net impact.
Compute quarter over quarter net adds, churn, and new customer velocity from the tables template, and analyze 100k and 10k thresholds to guide retention and growth.
Learn how average selling price, or ASP, plus bookings, define annualized revenue per customer. Explore land and expand ASP calculations using a simple P×Q framework.
Create a two-line chart comparing land ASP and expand ASP trends, add data labels and colors, and show expand ASP stays higher and more stable than land ASP.
Analyze sales productivity by account owner using pivot tables to track bookings and deals closed over time, including last 12 month productivity and data bar visualization.
Welcome to Data Analytics with Excel for SaaS & Software Companies.
The goal of this course is to learn how to use Excel to analyze data, draw insights, identify trends, and communicate your findings in a presentation, with an emphasis on SaaS-related analyses and a hands-on approach. If you are working at a technology, software or SaaS company, and you do data analysis as part of your job, you have come to the right place.
We are going to focus on the practical problems and analyses that you will encounter on your job.
This course focuses on analyses specific for software companies. We will learn how to use data to analyze bookings, Annual Recurring Revenue or ARR, Average Selling Price (or ASP), retention rate, customer analysis, sales productivity, forecast modeling, and more.
We will walk you through the analysis step-by-step from start to finish. Along the way, we will show you keyboard shortcuts and Excel tricks that will make your job easier.
At the end of each section, there are practice exercises for you to work on similar but slightly different problems so you can test your skills.
For all the analyses in the entire course, we will use one master dataset, so it simulates a real-life experience on how to handle and produce various analysis from a rich data set.
By the end of this course, you will be able to:
manipulate raw data,
analyze financial and operational data,
create pivot tables,
build summary tables,
add metrics to analyze trends,
create effective graphs,
format charts for presentations,
build slides with insights, and
perform simple forecasting for SaaS Companies.
This course is packed with the following to enhance your learning:
High quality videos
Tutorials/Demos
Data files with template and solutions
Exercises
Excel keyboard shortcuts and tips
Whenever you are ready, let’s jump right in. I’m looking forward to spending some time with you. Welcome!
*************************
Course Content
Overview
Course Welcome
Course Workbook and Supporting Files
Excel Setup & Tips
Bookings Analysis
Bookings - Section Intro
Bookings - Examine Raw Data
Bookings - Create Pivot Tables
Bookings - Build Summary Tables
Bookings - Build Bookings Charts
Bookings - Build Presentation Slides
Exercise: Bookings Analysis
ARR Analysis
ARR - Intro to Annual Recurring Revenue Concepts
ARR - Stage ARR Data
ARR - Build Customer List
ARR - Build ARR By Customer Summary
ARR - Calculate New/Expand/Downsell/Churn
ARR - Build ARR Summary Table
ARR - Add Trended Metrics
ARR - Build ARR Charts
ARR - Build Presentation Slides
Exercise: ARR Analysis
ARR - Net Retention Rate Concepts Intro
ARR - Net Retention Rate Analysis
ARR - Term Length Analysis
Customer Analysis
Customer Analysis
Customer Trend Metrics
Customer Trends - Charts
Average Selling Price (ASP) - Intro
Average Selling Price (ASP) - Calculation
Average Selling Price (ASP) - Charts
Sales Productivity Analysis
Sales Productivity - Analysis
Sales Productivity - Charts
Forecast Overview
Forecasting Methodology Overview
Forecasting Demo
Exercise: Forecast