Via the three chapters in Part 3, we learned to work with data, define problems, solve them using different methods, and select from among several techniques.

Throughout the book, we also addressed these questions: What is Big Data? Why has this phenomenon become so important in the business context? How can we extract value from data? How can sharing economy businesses seize the opportunities offered by data-sets?

Obviously, these companies can adopt a data-driven approach in several ways. By using Big Data technologies, exploring new methods that can find correlations between the quantities of available data, developing algorithms and tools capable of handling a wide variety of data, optimizing the analysis process, etc. This gives an overview of how these companies can develop a new model in the sharing economy context through the use of data analysis tools that allow them to explore large amounts of data and to generate value.

So, we come to the end of this book and its main objective, which is to illustrate the importance of Big Data analytics for sharing economy companies.

We hope that you have gained a basic understanding of these two areas. It is for you now to demonstrate your skills! The different algorithms for data analysis and the various Big Data technologies will probably make your work easier. But, as the Americans say: “People make the difference!”