Analyzing game data means deciding metrics, dimensions, and event steps from scratch every time. Learn how Hive Analytics templates let you load ready-made dashboard, chart, funnel, and retention setups and adjust only what you need.
Make game operations clearer with data
Practical ways to read game metrics and turn them into better operating decisions with Hive Analytics.
- Building Game Analysis Content Quickly with Templates
- Managing Data Access Scope by Assigned Project
Organizations running multiple games need different data access for each member's role. Learn how Hive Analytics groups projects and members by organization so admins can set data access to match each person's responsibility, and adjust it easily when assignments change.
- Viewing a Game Metric's Composition by the Basis You Choose
A metric's overall number alone doesn't show which date or user environment shaped it. See how Hive Analytics' pie chart lets you switch the ratio basis between date and dimension, and narrow the legend to focus on the share you need.
- Analyzing Data from After Game Launch
When QA, soft launch, and CBT data mix with official service metrics, it's hard to see real performance. Hive Analytics' Time Settings let you register each project's launch date down to the minute and analyze only official post-launch data.
- Comparing Game Metrics Against the Past
Looking at today's numbers alone makes it hard to tell whether a metric is high or low. With Period Comparison in Hive Analytics charts and dashboards, use a Relative Date or a Fixed Date to see the base period, comparison period, and rate of change side by side.
