Qualitative Analysis for Digital Transformation

Digital Transformation requires an understanding of how members communicate and share ideas at the individuals, team, leadership, and the organization level. An enterprise’s behaviors are made up of a collection of mental models based on perceptions, relationships, actions, and conflicts between various parts of the organization. Qualitative Data Analysis (QDA) is a process that can be used to discover implicit conflicts, incoherence, and misalignment between these mental models. In this presentation, we will discuss how Computer Assisted Qualitative Data Analysis (CAQDA) and a QDA approach can be used to analyze group, individual, and leadership interviews to better understand Digital Transformation outcomes. We will also discuss how this QDA approach has been used in a number of financial institutions with some relative use case examples.