The Data Factory, Part Four: Deploying your data
Having wound our way through all of the sub-steps of the previous stages of the data factory (acquire, transform, apply), it becomes clearer how much specialization is required when building a modern alternative data practice. Of course, if you really wanted to, you could have one person do the entire process. But it’s highly unlikely that doing so would be the best use of their time—or the most scalable option for the business. As a result of the above challenges, the data factory model is likely to become more and more popular. In this last installment of our series, we’ll...
