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Author:Büyükcan, Elif
Title:User Research and Game Analytics as a Combined Tool of Business Intelligence in Mobile Game Industry
Publication type:Master's thesis
Publication year:2014
Pages:vii + 59 s. + liitt. 22      Language:   eng
Department/School:Perustieteiden korkeakoulu
Main subject:Käytettävyystutkimus   (T-121)
Supervisor:Nieminen, Marko
Instructor:Koivunen, Janne ; Röykkee, Mika
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201412033113
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
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Location:P1 Ark Aalto  2454   | Archive
Keywords:business intelligence
user research
game analytics
survey
Abstract (eng):User studies are important sources of information for companies as they help the companies to understand the customers better when reaching them in many efficient ways.
On the other hand, game analytics provide a good understanding about user behavior by making use of in-game statistics.
Since both tools set up a good but different knowledge base, game companies can benefit from the combination of these two related information sources.
Benefits which can be achieved from this cover gaining business value via efficient customer targeting or improved marketing and communications processes.
It is also crucial for companies to see the relationship between these two learnings and if they reflect each other.

This thesis investigates possibility of unifying user research and game analytics for business intelligence in gaming companies.
As the case study, a software was developed to form a connection between data gathered from game analytics and user research.
The software developed is implementation of a rule-based decision making algorithm, where rules consist of the logic to match common fields between game analytics and survey data.
In addition, interviews were conducted to assess the application areas and benefits of the connection formed.

Results of the study show that it is technically possible to build a bridge between game analytics data and user research outcomes in a practical way.
Outcomes of the case study were mappings between survey responses and relevant game analytics data.
While the quality of the mappings are highly dependent on many variables, reliability of the results can increase easily by improving the methods of data collection or rules followed in matching.
Based on the interviews, we can argue that unifying those two data sources can offer valuable insights on players, thus supports the business functions inside a company.
ED:2014-12-21
INSSI record number: 50198
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