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

Chapter 10. Best Practices

The data necessary for making critical business decisions is best consumed by streamlined workflows. The workflow layout can help you visually build workflows faster. Ensuring autosave is always set to save at faster incremental minutes will help make sure you don't lose that powerful workflow created. Apply data profiling throughout your workflow to visualize the data quality. In this chapter, you will learn best practice solutions for building efficient workflows, reviewing data exploration techniques, and handling data sources. These best practice guidelines, along with their associated tips and tricks, will save you valuable time in the business decision making process.

This chapter will cover the following topics:

  • The ultimate guide to workflow design
  • Tips and tricks