Summary
In this chapter, we discussed predictive analytics and its major applications in industries. We explored the main limitations of real data-based solutions. Then, we learned how synthetic data presents an elegant solution for these issues. Furthermore, we covered three case studies and learned how some companies have leveraged synthetic data to improve their predictive analytics and, thus, improve their services and revenues. In the next chapter, we will highlight some of the best practices to apply synthetic data successfully and efficiently for your own problems.
