Data governance in financial services companies
Project Description
Big Data Analytics (BDA) refers to analytical techniques applied to large and complex data sets. Furthermore, BDA encompasses advanced data storage, management, analysis, and visualization technologies. Application areas comprise text analytics, audio analytics, video analytics, and predictive analytics. In recent years, BDA has quietly descended on many industries, from e-commerce and manufacturing to the health sector and the financial services industry. Particularly financial services companies have commenced several BDA initiatives including the automated supervision of client portfolios, trade recommendation systems, and robo-advisory. While many recipes for the success of BDA initiatives center around building BDA capabilities, the implementation of BDA requires further accompanying structural, relational, and process changes to preserve organizational success over time. Hence, the thesis aims to explore those required organizational changes and targets to define a BDA governance model. In doing so, the thesis focuses on investigating BDA initiatives within the financial services industry.
