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This article was produced by Arcesium as part of their valued industry partnership with Fund Operator.

In today’s data-driven world, financial institutions face the challenge of effectively leveraging vast data resources. For those without dedicated tech teams, the solution lies in a modern data lakehouse platform. This cutting-edge architecture merges the flexibility, cost-efficiency, and scalability of data lakes with the robust management and transactional capabilities of data warehouses. The result is a comprehensive data ecosystem that enables both technical and non-technical users to access and analyse data, driving informed, strategic decisions.

A data lakehouse supports business intelligence (BI) for all data types, empowering firms to make critical choices—whether entering a new market segment or deciding on an investment strategy. However, to harness this power effectively, organisations must prioritise data governance and permissions. A well-structured permissions system ensures that users access only relevant data, protecting sensitive information and maintaining data integrity. Techniques like data masking and policy controls help secure end-user access, giving firms confidence that their data is both safe and actionable.

API functionality further enhances a lakehouse’s utility, supporting customised access and real-time integration with existing applications. Through APIs, firms can facilitate secure data transfers, bringing flexibility to their operations and enabling the data platform to serve as a single source of truth. This capability supports a variety of applications, from direct data warehouse integrations to downstream analytical tools. By embedding BI tools such as Looker, Tableau, and Power BI, users can visualise data in intuitive, customisable formats, turning raw data into actionable insights.

To maintain efficiency, systematic processes such as Secure File Transfer Protocol (SFTP) ensure a smooth, one-hop data flow into downstream systems. This real-time data population provides immense value, particularly for risk systems, where timely, quality-controlled data is essential for generating insights. For quants and analysts, this setup opens new possibilities for using machine learning and other advanced methods to drive financial innovation.

As financial firms realise the immense value of a well-managed data platform, investing in robust data infrastructure becomes essential. By prioritising clean, quality-controlled data and establishing comprehensive access controls, these institutions can capitalise on the data revolution, making strategic decisions that fuel growth and innovation.

To learn more about transforming your data strategy, read our eBook, Maximize Data Impact: Common Use Case for a Unified Data Platform, and unlock the full potential of your data assets.

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