The art of Game data analysis--Interactive publishing network

This article is a computer class of high-quality pre-sale recommendation >>>>"The Art of Game data analysis"

Objective

Why did you write this book ?
Cannot be measured, it cannot be improved.
every product is a work of art, the game is a product, so the game is also artwork. However, products need users, users and products need to be measured, in-depth analysis and problem solving, upgrading products, operating users.
games with the development of the Internet has gradually become an important industry, which was born like Blizzard, such as the company, but also the birth of a national brand like Xishan. Our technology is getting better, our interface is becoming more and more beautiful, our design planning power is growing. A variety of books for this industry, however, we found that in the increasingly focus on product operations today, when everything goes digital, our product data analysis and data construction, among most practitioners, is extremely scarce and helpless.
from the beginning of the "Small white Learning data analysis" began to carry a mission, a kind of industry data analysis to continuously improve and develop the mission. So far, no book in the industry has been systematically combing and explaining the concept and application of game data. With the development of big data and mobile Internet, the mobile internet has created a fairer and cheaper entrepreneurial opportunity, and big data has given us more thought of using data-driven change, and more and more people are involved. Data began to get more and more people's attention and construction, it is gratifying that we see a lot of channels, publishers, developers began to speak with data, began to pay attention to the ROI, began to focus on the retention rate, this is a good phenomenon, the data began to play a value and impact. However, the retention rate, or ARPU, was played bad, distorted, there are multiple standards, which makes it difficult for many practitioners, especially many newcomers to distinguish between these standards, difficult to analyze the data rationally and objectively. Most of the time, we lack a highly unified understanding of the SKU such as e-commerce, and never have detailed material or books on the game data analysis of a comprehensive exposition.
The data analysis is to solve the problem first.
data analysis focuses on the transformation of results, theory and knowledge ultimately serving the program and the final effect. The game can be regarded as a work of art, however, such a work of art is required by the audience, to operate the audience, we need to measure, to improve. In this process, the software used is not the most critical, the use of the algorithm is not the most critical, the problem-solving approach is the most critical, and there are practical scenarios and the final effect of feedback and improvement measures. Not just for game data analysis, but also for data analysis in other areas. In addition to solving the basic understanding and methods, there are more thinking about business understanding, starting from solving problems, taking games as the best entry point, radiating the entire data analysis field, and completing most of the theoretical and basic data interpretation and analysis.
Reader Object
This is a book on the analysis of game data, but the knowledge, methods, indicators, theories that can serve the entire Internet, the following people can read and use the book.
Game product operator.
Game data analysis staff.
mobile app product operator.
mobile app data analyst.
Product Marketing Promotion staff.
Product experience Designer.
Product Data Mining and platform construction personnel.
data analysis enthusiast.
How to read this book
the book from the Organization, planning, collection and creation after 3 years, by 4 from different areas of the author, which completed the 1th, 2nd, 3rd, 5th, 6th, 7th and 9th chapters of the creation, Yu Minxiong completed the 10th chapter, 11th chapter and 12th chapter of the creation, Wuna completed the 4th chapter of the creation, Shisheng completed the 8th chapter of the creation.
The book is divided into two parts:

. The first part runs through the basic game data analysis concept, the position of the analyst, the Data Index cognition, the game Data analysis methodology, the statistic application, the channel flow operation to the concrete product each stage data operation knowledge.
The second part is focused on the use of R language and data mining knowledge, in-depth discussion of game data analysis of advanced knowledge.
Errata and Support
In addition to the signature of the cover, the book is supported by Wang Wei and Jiang Changsong in the creation process, and they provide a lot of content. Because the author's level is limited, the writing time is hasty, the book inevitably will appear some mistakes and inaccurate places, hope that the readers criticize correct. In order to facilitate communication, we deliberately created an online website http://www.ianalysis.cn, readers have any questions on the site to leave a message, and the book is not fully elaborated on the content, will continue to the site for the readers to answer. In addition, we will regularly update the articles on this website. If you have more valuable suggestions, please send e-mail to [email protected], or follow the book public account I-analysis, looking forward to receive your sincere feedback.
Thanks
First of all, thank the Xishan Resident CEO Zou for this book, as once the Jinshan people, deeply honored.
Thank TalkingData CEO Xiaobo, in my career inspired and platform, as a member of the TalkingData, fortunate to participate in the great data business, feel proud.
Thanks to TalkingData, Xishan residence, they do a very great thing for the industry, from this game data analysis is also a real direction, talkingdata for the industry's data development to make products and methods of guidance, and Xishan residence will be years of precipitation and accumulation of dedication to the public. And thanks to all the gaming companies that have been supporting game data analytics for many years.
Thank you for helping us in the creation of this book. Shanxi Mountain Mountain Jiang Changsong, swim Wang Wei, game data Mining and analysis QQ group each participate in the game data analysis construction of enthusiastic netizens, thank TalkingData Shanhui and Yuhailiang, their product design and research and development, so that the industry into a rapid development track, There are many friends who are not mentioned, thanks for their long-term support and contribution to game data analysis. Thanks to all the hard work of the author, Yu Minxiong, Wuna, Shisheng, their full support and participation, so that the book smoothly published.
Thanks to the trust of Yang Fuchuan, a company of mechanical industry press, he accompanied me for 3 years, and thanked the editor Jiang Ying for his hard work. Because of their support, encouragement and help, the book can be published smoothly.
Finally, thank the family, thank you for your understanding, accompany and support.
I dedicate this book to my beloved family.
Yu Yang

Preface

Order
as a veteran of the gaming industry, I have been engaged in game development and management for many years, experiencing the baptism of single-machine, client-side games, web games and mobile games. Recalling the development of the Internet over the years, from the portal, e-commerce, social, search and entertainment industry, the data are playing a very important role, traffic management analysis, e-commerce analysis, search and analysis, social analysis has entered the heyday, and from the point of view of business monetization play a pivotal role. However, the development, operation, design of the game is progressing, as an entertainment industry, but also as a data-based internet business, its data analysis has been lagging behind the development of other Internet services. As the first Internet commercialization service, but not fully utilize the power of the data to the game industry innovation, development to a higher level, this is the development of the entire industry a pity.
game data analysis in China's development is relatively slow, from the end of the era of "Pat Head" decision-making, to today's data-based refinement of the operation and design, at least 10 years, but never systematically collate and disseminate this knowledge. During this period, China's game market changes too fast, relying on the huge advantages of the demographic dividend, fine operation, the idea of data-driven products has not been well spread and development, most regrettable of which caused the lack of talent and experience accumulation of lack.
However, the advent of Zynga has undoubtedly driven the industry to start valuing and building game data. The rise of social games and mobile games, combined with companies such as TalkingData, has really pushed game data to the foreground. Not only does it inspire the game industry to start thinking about the huge impact of data on game planning, design, development, promotion, and operations, but it also encourages more practitioners to start learning data and learn how to influence games and change games through data. The advent of this book, it is at this critical point in time to solve the most basic knowledge combing and theoretical practice problems.
This is the first in the development of China's game industry to elaborate game data analysis books. The authors of this book come from different fields and interpret and create data analysis from different perspectives. As veterans, it is gratifying to see the emerging power of the industry to accomplish such things. This for the future of the game industry talent training, product design, development, operation, promotion, will bring great impetus. The book as the first system to analyze game data analysis of the book, a comprehensive number of years of game data analysis of knowledge and practice organically combined, whether for the new job or practitioners have been long-time people, are worth reading, the content of the inspiration and impact is very large. At the same time as a national brand, Xishan residence also in this book's creation, contributed to years of accumulated knowledge of game data analysis and practical experience.
When it comes to data, industry exchanges are, first and foremost, the next day retention rate, 7th retention rate, paid conversion rate, LTV these data metrics, but I personally prefer to interpret the data as a game player's feedback on the game's products, with behavior as a dialogue, and in-depth communication with game developers, only if they "hear" "Understand", and then "listen to". This is the role of data analysts who collect, translate, and dissect the silent expression of a player. In an internal reporting session, the data team constantly presents the results of subversion or validation of the ideas of the designer and the operations team, and it is interesting to refresh the user's observations and understanding in the process. From this point of view, game data analysis is more complex than other Internet industry, the user is not simply in the completion of a transaction, but also on the spiritual level to obtain an experience and satisfaction, this level of translation is undoubtedly more difficult, but also for the data analysis practitioners more long-term hope.
Finally, thank four authors for their contribution to the gaming industry.
Xishan resident CEO Zou

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The art of Game data analysis--Interactive publishing network