The “data paradox” refers to a seemingly contradictory situation in the modern data landscape. Based on the book’s table of contents and common understanding in the field, it typically describes the following phenomenon:

1. Data Deluge: On one hand, we are experiencing an unprecedented explosion of data. With the proliferation of digital devices, sensors, and online activities, enormous amounts of data are being generated constantly.
2. Data Drought: On the other hand, despite this abundance, many organizations and individuals struggle to access or utilize the right data when they need it. They may face challenges in finding relevant, high-quality data that can provide meaningful insights or drive decision-making.