With time, the data and system architecture at many investment firms have become complicated. Due to this, understanding the origin and transformation of datasets throughout the journey from front to back office and vice-versa has become an incredibly difficult task. In the absence of any dedicated data lineage solution, many buy-side firms still struggle to respond to compliance and regulatory requirements like GDPR, BCBS 239, Dodd-Frank, EMIR, IFRS, AIFMD, Solvency II, and MiFID II.
The good news is the level of traction which Data Governance programs at many asset managers and asset owners have gained in the last couple of years. Specialists who are part of those forums have already expressed the need to have a separate framework around data lineage and have kicked-off some initiatives in this direction. Given these developments, we are excited to share our views on the fit-for-purpose solution designs for solving the data lineage problem for buy-side firms at an enterprise level.
Download this paper by filling out the form below to get our thoughts on:
- The need for raising trust around investment datasets.
- Why is it important for Asset Managers and Asset Owners to trace data lineage of their entire investment data landscape?
- What is the recommended approach to trace data lineage for investment firms?
- Defining the maturity hierarchy and the value proposition of each solution.