Book Image

Getting Started with Flurry Analytics

By : Bhanu Birani
Book Image

Getting Started with Flurry Analytics

By: Bhanu Birani

Overview of this book

Analytics help you to understand the way your users are interacting with your mobile application. Flurry provides you with a strong analytics tool to keep track of your application and to analyze your application data without much hassle. It provides an SDK for almost all platforms to gather data from all platforms of mobile and web applications. The enormous amount of data Flurry handles directly translates into unique, powerful insights into your applications.Getting Started with Flurry Analytics is a practical, hands-on guide to instantly getting started with Flurry analytics using step-by-step exercises. You will take advantage of the real power of Flurry analytics and provides you with an example-based learning approach to help you master it quickly and efficiently.This book starts by discussing how to set up and integrate Flurry analytics and ends by making you aware of how to track your application using Parse. You will also learn about tracking your application data using Flurry analytics to strengthen your strategies and to improve the application monetization process. You will also learn about configuration and implementation of Flurry analytics and how to make the application track all the necessary details to empower management decisions.
Table of Contents (12 chapters)

Chapter 4. Technical Analytics

In this chapter, we will explore various ways to track your application errors in Flurry. Flurry provides advanced methods to track errors in order to enhance the stability of the application in case you want to know the details of the crash, such as the device on which your application crashes the most or the iOS version of the group of users who are facing similar issues. In this chapter, we will learn to track crashes and errors that occur in an application . We will also specify the parameters that will help to provide filters for the data that is generated and gathered. Filtering the data that is gathered will be useful to track and stabilize your application.