Data Management
Investment managers are operating in a new and more complex data-rich world. The pressure to generate alpha, improve operational effectiveness, manage risk, and build competitive advantage is pushing all of us to think more creatively about data sourcing and ways to extract meaningful insights that support better decision-making. Recent initiatives such as utilising AI algorithms for insight, predictive analytics, auto-screening, auto-decision, and automatic reporting – for clients, regulators, and management teams – all require a robust data management foundation.
What we do
We work alongside our clients to understand their strategic objectives and assess whether their current strategic, operational, and technical data management practices are being effectively leveraged to execute what is critical to the business and build on innovative strategies. We have hands-on experience sourcing, managing, integrating, and leveraging traditional, unstructured, and alternative datasets for insight. We help our clients with a broad spectrum of challenges – from sourcing, integration, modelling, maintenance, and security, to analytics, automation, and reporting for the entire investment management value chain.
Why work with us?
We take pride in what we do – it’s our craft. Our approach is centred on years of experience helping large investment managers with a broad spectrum of strategic, operational, technical, and data-related challenges. We’ve partnered with over 30 large investment managers, and our work spans APAC, North America, Europe, and the Middle East.
Consistency is critical. Our structured approach leverages new technologies for execution – ensuring reliable engagement-specific workflows, and making certain that projects are managed with transparency, traceability, and full visibility into progress. We can be relied on to provide the uncompromising truth in advisory and excellence in delivery.
A sample of our work
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