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.
publication date
2023-11-30
what you will learn
Implement the concept of data modeling within and beyond Excel
Get, transform, model, aggregate, and visualize data with Power Query
Understand best practices for data structuring in MS Excel
Build powerful measures using DAX from the Data Model
Generate flexible calculations using Cube functions
Design engaging dashboards for your users
key features
Acquire expertise in using Excel’s Data Model and Power Pivot to connect and analyze multiple sources of data * Create key performance indicators for decision making using DAX and Cube functions * Apply your knowledge of Data Model to build an interactive dashboard that delivers key insights to your users * Purchase of the print or Kindle book includes a free PDF eBook
approach
You will be given an example data set to practice along with, moving ahead you will learn how to normalize, transform and model the data set to make it suitable for calculations using DAX and Cube Functions. You will then be guided to calculate key performance indicators from the data model and finally create an interactive dashboard
audience
This book is for Excel users looking for hands-on and effective methods to manage and analyze large volumes of data within Microsoft Excel using Power Pivot. Whether you’re new or already familiar with Excel’s data analytics tools, this book will give you further insights on how you can apply Power Pivot, Data Model, DAX measures, and Cube functions to save time on routine data management tasks. An understanding of Excel’s features like tables, PivotTable, and some basic aggregating functions will be helpful but not necessary to make the most of this book.
short description
Data Modeling with Microsoft Excel is a practical guide to unlocking the benefits of Microsoft Excel’s Data Model. The book simplifies the data modeling process to help you master effective ways to build relational data from multiple sources in Excel, create DAX and Cube calculations, and apply your learnings to build an interactive dashboard in Excel.
subtitle
Model and analyze data using Power Pivot, DAX, and Cube functions
keywords
Power BI, Microsoft Excel Software, Power query for Power BI and excel, Microsoft Excel book, Power Query book, Data management books, MS Excel book
Product ISBN
9781803240282
