Book Image

Democratizing Application Development with AppSheet

By : Koichi Tsuji, Suvrutt Gurjar, Takuya Miyai
Book Image

Democratizing Application Development with AppSheet

By: Koichi Tsuji, Suvrutt Gurjar, Takuya Miyai

Overview of this book

Many citizen developers regularly use spreadsheets in their business and day-to-day jobs. With AppSheet, you can take your spreadsheets to the next level by enhancing their ease of use. The platform allows you to run your business efficiently and manage it in the field outside of an office or indoor environment. This book enables you to create your own simple or medium to complex hybrid apps for business or personal use. As a beginner to AppSheet, this book will show you how the AppSheet Editor works and how it is used to configure, test, and deploy an app and share it with others as users or co-authors. You’ll learn about widely used features such as how to use data sources, create app views and actions, construct expressions with AppSheet functions, and make your app secure through security and UX options. Next, you’ll create email/attachment templates and develop reports/documents based on templates, store in the cloud, and send files through emails. You’ll also understand how to integrate third-party services and monitor various usage statistics of your app. As you progress, you’ll explore various features with the help of sample apps that you create using the book. By the end of this book, you’ll have learned how to make the most of AppSheet to build powerful and efficient applications.
Table of Contents (20 chapters)
Part 1 – Introduction and Getting Started
Part 2 – App Editor and Main Features
Part 3 – Advanced Features and External Services
Part 4 – App Templates and Tricks for App Building

Enabling advanced features

The settings for the advanced features are found in the Intelligence pane of AppSheet, as shown in Figure 9.1. These advanced features and their functionalities are as follows:

  • Smart Assistant: Advanced searching function using natural language.
  • Predictive Models: Once a new data entry is made, you will be able to get the most likely values for your data that you wish to predict.
  • OCR Models (Beta): Extracts text that appears in images and saves it as a standardized dataset.

Take a look at Figure 9.1, where you can find the three different tabs for each advanced feature in the Intelligence pane:

Figure 9.1 – The Intelligence pane and its three tabs

Let’s move on to looking at each of these features; we’ll learn how to set them up and see what each feature can do for us.