In the rapidly evolving world of data and analytics, exclusively commiting to relational databases and query will leave your company and your team shackled and wanting for answers. Today’s organizations require more flexible means to manage and analyze their data to produce innovative and intuitive insights at or near real-time. In this podcast, Alexander Bant and Grant Nelson review the often new-to-finance graph databases, graph theory and graph analytics and explore the advantages of adopting non-relational data and analytics in finance. Grant Nelson partners with finance leaders to understand and address their most pressing data and analytics challenges and opportunities. He provides guidance and research derived from Gartner’s cross-functional data and analytics quantitative and top-practice research into critical decision areas for finance and accounting.