Designing A Data Solution For A Game Company : Case InfluxDB and Grafana
Salenius, Mikko (2017)
Salenius, Mikko
Kajaanin ammattikorkeakoulu
2017
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2017120820312
https://urn.fi/URN:NBN:fi:amk-2017120820312
Tiivistelmä
The objective of this Bachelor’s thesis was to research, how data analytics can be used for bene-fit in a game company and what should be taken in account when choosing necessary software’s to guarantee their compatibility and practicality regarding the needs of the company. Work gives an overall view of what game company should start with when planning to introduce analytics to their company and what would be the first steps towards that goal. Technical work is done so that company can start using Grafana and Influx combination in their analytics fast.
Theory part was done to include all the steps required to plan analytics plan from start to finish from the perspective of a game company. Steps were made in such order that the reader first gets a solid foundation into the theory of game analytics and is then guided in building the solu-tion in practice. Work is based on research from various sources and my own experiences work-ing as a junior data analyst.
Finally, results are presented combining everything together to summarize what was achieved with the work. Thesis gives anyone in the industry foundation to build on when desiring to learn about data analysis in the context of game industry. Work was designed to be split cleanly to the theory and technical parts so that regardless of the team and technical skills, the reader can get something out of the thesis.
Data’s potential should be understood by everyone regardless of teams, as this brings multiple perspectives into the mix and thus boosts the results data analysis can have when everything is accounted for, different teams have different kinds of needs for information after all. Decisions should after all never be based on assumptions and guessing in a company. This is a problem that data analysis helps to solve completely when done right, as numbers never lie, unless they are calculated and gathered inadequately.
Theory part was done to include all the steps required to plan analytics plan from start to finish from the perspective of a game company. Steps were made in such order that the reader first gets a solid foundation into the theory of game analytics and is then guided in building the solu-tion in practice. Work is based on research from various sources and my own experiences work-ing as a junior data analyst.
Finally, results are presented combining everything together to summarize what was achieved with the work. Thesis gives anyone in the industry foundation to build on when desiring to learn about data analysis in the context of game industry. Work was designed to be split cleanly to the theory and technical parts so that regardless of the team and technical skills, the reader can get something out of the thesis.
Data’s potential should be understood by everyone regardless of teams, as this brings multiple perspectives into the mix and thus boosts the results data analysis can have when everything is accounted for, different teams have different kinds of needs for information after all. Decisions should after all never be based on assumptions and guessing in a company. This is a problem that data analysis helps to solve completely when done right, as numbers never lie, unless they are calculated and gathered inadequately.