Limitation of the Book
As all the illustrated examples of this book have been the service, developed and operated by 4Grit, it may look like we are advertising our service.
This book covers about data analytics that is specific to customer experience, called CX. As it deals with the specific category of data analysis, the contents have been limited to the user data analysis.
For the last, we are a novice publisher.
We published the book from scratch, from registering the publishing business to carrying out all the publishing matter.
For these reasons, the result may not be perfect, but we hope this may help readers to better understand UX data analysis.
Yet, the Reason Why We Published the Book
The concept of UX is still hard to grasp needless to say the concept of big data. This book even adds to the recklessness of linking the two. And interestingly, the outcome is the opposite. Based on the ambiguity and subjectivity of user individuality, UX can be shaped by meeting big data, and UX can be easily handled, making it more practical and feasible.
It's not easy to handle data. Because a series of activities that collect and compute data to find meaning requires an understanding of the data. In order to lower the hurdle of data analysis, this book uses a visualization technique called Heatmap, which is intuitive to understand, to help you get started with it. These customer behavior heatmaps are provided in ‘Beusable’ and similar analytics tools, so once you've learned how to read them, you can apply to other types of heatmaps.
4Grit is developing big data solutions while consulting on UX Big Data at the same time. Through the heatmap, the actual for-profit business of 'data analysis' has led to success as well as our methodology for data analysis. And to generalize the field of data analytics, we wanted to share our trial and error with the technology assets.
