Book Image

Learning Alteryx

By : Renato Baruti
Book Image

Learning Alteryx

By: Renato Baruti

Overview of this book

Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx’s features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx’s self-service analytics features, this book will be the perfect companion for you.
Table of Contents (17 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback


In this chapter, we reviewed how important data preparation is for quickly blending and organizing data. The data preparation tools used in this chapter are used in every day analytics to develop efficient workflows. The Data Cleansing tool is a one-stop shop for cleaning data and handling those nulls that are always bound to exist in input files. Once all the data has been prepared and cleansed, it's time to discover what data needs to be limited by utilizing the Filter tool. This can be used to limit data to what the customer needs or to optimize the workflow downstream. The next part included how to join multiple inputs and combine data using the Join, Join Multiple, and Union tools. The Join and Union tools are a powerful combination for creating inner and outer joins for analysis. The tools utilized in this chapter will provide you with the fundamentals to develop optimal workflows and allow for accurate and quicker business decisions.

In the upcoming chapter, you will learn...