IFRS 9 (Financial Instruments) becomes mandatory in January 2018, replacing IAS 39. This new International Financial Reporting Standard (IFRS) introduces revolutionary changes to accounting practice, including a forward looking expected credit loss model and changes to the classification of financial instruments, both of which may require financial institutions to rethink their data governance frameworks and adoption of big data solutions. This research-in-progress paper outlines a structured literature review and abstract analysis methodology employed to date to identify themes existing within and between IFRS, data governance and big data literature. Upon completion, it is expected this research will contribute to theory by providing a stepping stone for future research through the identification of literature themes and development of future research questions. The completed paper also has potential practical contributions by providing financial institutions with a gateway into the body of academic knowledge relevant to the IFRS 9 challenges they are encountering.