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I.e. Gaming Analytics Innovation Summit APRIL 2728 2016 SAN FRANCISCOReshaping the Industry Through Data Sciencedfdvsd about THE EVENTOverview April 27 & 28, 2016Gaming Analytics Innovation Summit
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How to fill out gaming analytics

01
Step 1: Collect relevant game data such as player actions, game events, and player demographics.
02
Step 2: Determine the key performance indicators (KPIs) and metrics that you want to track and analyze.
03
Step 3: Choose a gaming analytics tool or platform that best suits your needs and integrate it into your game.
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Step 4: Set up event tracking to capture the desired data points and events in your game.
05
Step 5: Analyze the collected data using the gaming analytics tool to gain insights and make informed decisions.
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Step 6: Create reports and visualizations based on the analyzed data to communicate the findings to relevant stakeholders.
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Step 7: Continuously monitor and analyze the gaming analytics data to identify trends, patterns, and areas for improvement.
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Step 8: Use the insights gained from gaming analytics to optimize game design, engagement strategies, and monetization techniques.
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Step 9: Iterate and refine the gaming analytics process based on the feedback and observations from the data analysis.

Who needs gaming analytics?

01
Game developers who want to understand player behavior and engagement in their games.
02
Game publishers who want to optimize game performance and monetization strategies.
03
Game analysts and data scientists who want to gain insights and make data-driven decisions.
04
Marketing teams who want to target specific player segments and improve user acquisition and retention.
05
Game designers who want to improve game mechanics, balance, and overall user experience.
06
Investors and stakeholders who want to assess the potential of a game and its market success.
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Gaming companies who want to drive player engagement, loyalty, and revenue.
08
Esports teams and tournament organizers who want to analyze player and team performance for competitive gaming.
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Educational institutions and researchers who want to study player behavior and the impact of gaming on individuals and society.
10
Players themselves who want to track their own gameplay statistics and performance.
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Gaming analytics is the process of collecting, measuring, and analyzing data related to gaming activities in order to make informed decisions and optimize performance.
Gaming operators and companies involved in the gaming industry are required to file gaming analytics.
Gaming analytics can be filled out by collecting relevant data, organizing it in a structured format, and then analyzing it to generate insights and reports.
The purpose of gaming analytics is to improve decision-making, enhance player experiences, optimize game performance, and increase revenue in the gaming industry.
Information such as player demographics, game performance metrics, revenue generated, player engagement levels, and in-game transactions must be reported on gaming analytics.
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