Book Image

Data Modeling with Microsoft Excel

By : Bernard Obeng Boateng
5 (1)
Book Image

Data Modeling with Microsoft Excel

5 (1)
By: Bernard Obeng Boateng

Overview of this book

Microsoft Excel's BI solutions have evolved, offering users more flexibility and control over analyzing data directly in Excel. Features like PivotTables, Data Model, Power Query, and Power Pivot empower Excel users to efficiently get, transform, model, aggregate, and visualize data. Data Modeling with Microsoft Excel offers a practical way to demystify the use and application of these tools using real-world examples and simple illustrations. This book will introduce you to the world of data modeling in Excel, as well as definitions and best practices in data structuring for both normalized and denormalized data. The next set of chapters will take you through the useful features of Data Model and Power Pivot, helping you get to grips with the types of schemas (snowflake and star) and create relationships within multiple tables. You’ll also understand how to create powerful and flexible measures using DAX and Cube functions. By the end of this book, you’ll be able to apply the acquired knowledge in real-world scenarios and build an interactive dashboard that will help you make important decisions.
Table of Contents (16 chapters)
1
Part 1: Overview and Introduction to Data Modeling in Microsoft Excel
6
Part 2: Creating Insightful Calculations from your Data Model using DAX and Cube Functions
9
Part 3: Putting it all together with a Dashboard

How to reduce noise in your presentation

A well-designed dashboard should direct the user’s attention to the most critical data without overwhelming them with too much information.

Here are some ideas to help in this objective:

  • Limit the number of colors: Too many colors can make a dashboard look chaotic. Limit your primary colors and use shades of these colors to maintain consistency while distinguishing data points.
  • Use neutral backgrounds: A neutral background allows your data to stand out. Avoid using bright colors that can distract from the data.
  • Consistent fonts: Just as with colors, limit the number of fonts you use. Stick to one or two fonts to maintain a clean look.
  • Whitespace is your friend: Allow some space between visual elements. This gives your dashboard a clean look and helps users focus on the data.
  • Skill 2 practice: Identify any areas where there might be too many “noisy” or redundant elements and adjust these elements...