Introduction
When it comes to business transformation and digitisation, the financial sector has undergone significant and accelerated change over the last 5 years. The industry, which was traditionally conservative and reliant on outdated tools and legacy systems, is now undergoing a rapid shift toward agile, technology-driven frameworks, compelling companies to adopt new technologies to remain competitive.
Data management is a subject that arises time and again when it comes to technological transformation within financial services companies. As the market becomes more competitive, an effective data management strategy can mean the difference between growth and stagnation, and organisations prioritising data accuracy and integration are better positioned to respond to market changes, deliver timely insights, and make informed decisions.
Eliminating Fragmented Data
Financial services teams deal with an overwhelming volume of data in the course of their work. When this data is fragmented or siloed, it becomes impossible to maintain data consistency at an organisation level. This results in the need to manually aggregate and reconcile the data, which is a complex and time-consuming task.
The management of data across multiple complex systems requires valuable team resources to maintain data accuracy, and as reporting requirements evolve, this burden continues to escalate.
Beyond operational inefficiency, fragmented data can also lead to errors in financial reporting, delays in decision-making, and increased compliance risk. Teams often spend more time chasing and validating numbers than analysing insights or planning strategically, limiting their ability to generate more value for the company.
Achieving Operational Efficiency Through Single Source of Truth
The key to achieving operational efficiency and sustainable growth lies in the elimination of data siloes and manual reconciliation. Financial services teams need to efficiently derive intelligent insights from their data, a process that relies on data accuracy and availability. This is where the concept of Single Source of Truth comes in.
By unifying and consolidating disparate systems, the need to sift through various data sources to determine the most accurate is eliminated, freeing up time for financial services teams and ensuring data consistency, accuracy and real-time visibility across all departments. This enables smarter, faster decision-making.
A Single Source of Truth should provide access to extensive data lineage for all departments across the organisation, and offer self-service reporting and business intelligence tools that allow financial services teams to interact with data easily.
Real-Life Comparison of Data Management Techniques
Scenario 1 – Fragmented Data
This traditional mid-sized asset management company has been in operation for 15 years. Despite having a solid client base and consistent investment performance, they have struggled to scale efficiently.
Portfolio data is maintained in separate systems per asset class, and client data is stored in a CRM with limited integration with the accounting platform. Additionally, performance and attribution data are generated manually using Excel, and regulatory reporting involves the manual compilation of data from multiple internal and external sources.
Achieving accurate performance reporting is challenging due to multiple data sources, and the time lost to reconciling discrepancies between accounting, compliance and other systems is costing the already overburdened team, limiting the company’s growth.
Scenario 2 – Single Source of Truth
This mid-sized asset management company has been in operation for 19 years. Around 7 years ago, in the face of evolving regulatory requirements, they recognised the need to transform to maintain sustainable growth.
The company implemented a centralised platform that hosts all portfolio, client, transaction and market data. Finance, risk, and compliance teams have real-time access to consistent data. Additionally, performance and attribution analytics are automatically calculated and tied to the same dataset used in client reporting and compliance.
Capacity has been freed up for the financial services team thanks to streamlined reporting and faster NAV and fee calculations. They also benefit from the ability to conduct scenario analysis and risk stress testing using unified, consistent data. The enhanced data accuracy provided by their Single Source of Truth has enabled faster, smarter decisions, increasing agility and competitiveness as they continue to grow.
The examples above demonstrate the importance of a centralised data repository in supporting business growth. Without a Single Source of Truth, financial services teams remain overburdened with data aggregation and reconciliation tasks, limiting their capacity and ability to scale.
Conclusion
As regulatory oversight and investor requirements continue to increase, so does the need for financial companies to establish a Single Source of Truth for their data. While adopting transformational change is a significant step, the benefits in terms of data accuracy, operational efficiency and strategic agility cannot be overlooked.
Speak to Resolve today to learn how we can help achieve enhanced data accuracy for your organisation through SSoT, giving you the resources and capacity to scale.