Why Analytics for Games (Portuguese)

via AWS Skill Builder

Resumen

Why Game Analytics (English)

Course Description
This course covers the use of analytics in game use cases. Students will explore the benefit of analytics and how insights can be used to improve game design, increase game operation efficiencies, and inform financial and strategic decisions. Students will learn about different sources and types of game data for business intelligence use and how it is possible to use the analytics pipeline to convert game data into answers.

Target Audience
This course is intended for:
• Business leaders
• Game developers
• Other professionals in the gaming industry

Course Objectives
This course is designed to provide you with the knowledge to:
• Describe the business case for analytics in the gaming industry
• Identify and describe business questions about games and data sources to provide answers
• Identify and describe the types of data that answer business questions
• Describe key components of an analytics pipeline

Prerequisites
We recommend participants of this course have:
• Basic knowledge of cloud computing and Amazon Web Services (AWS) equivalent to the Cloud Practitioner Essentials certification
• Basic knowledge of data analytics and AWS Analytics services equivalent to Data Analytics Fundamentals

Mode
Digital

Duration
60 minutes

Course Outline

Module 0: Welcome and Overview
• Introduction

Module 1: Business Case for Analytics in Games
• Analytics make great games
• Development cost
• Free-to-play and games as a service
• Why analyze
• The impact of having no data collection plan
• Analytics in the cloud

Module 2: Identifying Data to Measure
• What to measure in your game
• Common questions to gain game development insights
• How quickly do you need insights
• Analyze data in real time with streaming analytics
• Analyze data over time with batch analytics
• Planning your solution

Module 3: Understanding Data Types
• Understanding different types of data

Module 4: Components of an Analytics Pipeline
• Explore analytics pipelines
• Challenges you might encounter
• AWS analytics services