Establishing policies, processes and data ownership to improve the accuracy, consistency and completeness of data.
Our risk-based data management strategy addresses investment manager pain points around governance, quality and finding the right service or solutions partner.
Our structured approach leverages data for strategic advantage; reducing inefficiency in the data management processes, legacy systems or expertise; and most importantly, aligns data strategy to business strategy.
Data is one of your most valuable assets but is becoming more complex. The environment is constantly changing – from regulatory pressure to the introduction more complex instruments. Data must be managed efficiently to mitigate the risk.
Our risk-based approach assesses the entire data landscape to determine the areas at highest risk and define a strategy that covers governance, quality, architecture, and enterprise data management processes.
The bespoke client strategy is designed in three phases: operational, tactical and strategic to meet both short and long-term organisation goals.