Data Management for FinTech

In this chapter, we look into the intricacies of data management from the perspective of digital data factory (DDF) concepts. Data management from a digital data factory concept perspective involves the creation of a data lake, prompt and feature engineering, model design and implementation stages or stations as we define these terms. These processes are essential in helping businesses to optimize their operations, improve the customer experience and drive growth. By leveraging these processes, businesses can gain valuable insights into their operations and make data-driven decisions that can lead to long-term success. Finally, we link hereabove data management concepts to basic data architecture designs and conclude the chapter with sample of data structure formats as implemented using an industry case study.