Many organizations have approached the first phase of digital transformation by embracing application modernization, DevOps, and cloud principles. While many have learned valuable lessons from these recent transformation efforts, the concepts within the application modernization space don’t directly translate to the data and analytics space.
In this article, I will expand on those topics and ideas – and describe how organizations can think differently to successfully transform their data and analytics environments as they embark on the second phase of digital transformation. Thinking differently means they must consider changes in organization structure, operational processes, and technologies. Taking an industrialized approach to data and analytics should serve as the foundation for digital transformation efforts in data and analytics. Let’s explore how this can be done.