In my work, I use data discovery quite often, and I want to highlight some useful best practices:
Agility and rapid cycle iteration: It gives you the opportunity to rapidly discover any set of data and very quickly try a new hypothesis. In any case where the new hypothesis fails, you can quickly start with another new one.
Begin with the end in mind: Even if you don't know what you should do to find something in a particular data set, you can start to explore the data and get business insight. But it is highly recommended that you try to understand the business process.
Take advantages of data insights: During data exploration you may find valuable new information, for example, if you recognize a burst of high-volume sales for a new product. Immediately you can dive deep, and, for example, look to answer the question of, who is buying this product. We can dive deeper and try to understand more and more. Finally, we can create a new marketing segment based on your valuable insights.