Demystifying the Path to a Modern Data Platform
August 1, 2024
Read Time: 7 minutes
Unified Data
Dmitry (Mitya) MillerSenior Vice President, General Manager, Aquata®
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[Update to content originally published on February 8, 2024]
Legacy systems can be a heavy burden on investment firms, hindering their ability to adeptly shift strategies during periods of changing market dynamics. Investing in critical systems and core applications prepares firms to leverage advanced technologies — a rapidly accelerating component necessary to meet stakeholder expectations.
Dated — and dare we say obsolete — financial systems are closely correlated with operational inefficiencies, security vulnerabilities, and limited compatibility. The limitations can impede scalability or even result in missed opportunities. What’s more, complex internal structures and rigid workflows can restrain an organization from embracing emerging technologies, such as real-time data analytics and artificial intelligence.
As firms consider their future, it’s all about embracing digital opportunities. Investment firms looking to create and launch new products, support more diverse complex asset classes, and accommodate evolving reporting demands are turning to cloud-based, scalable data management solutions.
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Evaluating your firm’s business trajectory over the next five to ten years can help determine if your current operating model and infrastructure can deliver on longer-term goals. Several signs can point to when your firm might be ready to modernize.
We recommend that you first look at system vulnerabilities. The fragility when new patches are no longer released for dated systems, updates cannot be applied, or the vendor no longer supports a certain software can compromise databases and applications. Similarly, disjointed applications using outdated technology stacks heighten your infrastructure’s complexity. If you find your firm upgrading cycles every couple years, it’s a sign to look at how you can modernize the platform.
You may also find that dated systems begin to lag in performance, causing increased resource consumption and higher system failure rates. In addition, dated systems may struggle to connect with more modern applications, external systems, data vendors, and third parties. A patchwork of disparate systems, data models, and sources can add to the magnitude of managing data. Integrating data and establishing connectivity with external providers is paramount for operations, growth, and competitiveness.
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While the benefits of digitization are well-established, you will need to assess if timing aligns with business priorities. Researching solutions, budgeting, and planning will let you evaluate your current ecosystem and create a smooth pathway for your firm’s eventual migration.
Data is imperative to meeting operational, investor, and regulatory obligations. Prioritizing your data strategy shifts the agenda toward unified, automated, and optimized data accessibility.
Benefits of a modern data platform:
Did you know that an estimated 80% of technology budgets are devoted to simply ‘keeping the lights on’ and maintaining, repairing, and updating old technology systems?1 The remainder that’s allocated to modernization is insufficient for firms looking at new tech and expanding integration.
Yet, avoiding disentanglement from legacy infrastructure can affect your firm’s ability to optimize workflows, unify data, remove silos, and ultimately scale and grow.
All too often, organizations rely on multiple disconnected server-based or on-premise systems to support trade confirmation, settlement, reconciliation, and accounting. The risks vary from manual requirements, disparate processes that lead to errors and data inaccuracy, limitations in supporting complex instruments, and failure to integrate with other platforms.
Investment firms prioritizing digital transformation will accelerate their ability to swiftly create and launch new products, support more novel, complex asset classes, and accommodate increased volumes required from their reporting systems.
A phased approach can make the migration more manageable as you seek to optimize systems, storage, and processes. Consider the following practices for system and data migration and implementation:
Phase 1: Initiate
After you transition from signed contracts to migration planning, your selected vendor will set up a dedicated instance in the cloud and hold requirements-gathering discussions to learn about your data sources and create an inventory of your systems.
Phase 2: Integrate and configure
Once the environment is available, your vendor will establish data connectivity and integrations to ingress data, map incoming datasets, and establish egress configurations for outbound data. This phase will include data visualizations for analysis and representation and rules to ensure the platform stores only clean, accurate, and validated data.
Phase 3: Load data and run parallel testing
After your vendor establishes data connectivity, data will flow from your designated sources and then be transformed and captured within the data platform. Training will empower your teams to use the platform’s interface and understand the workflows pertinent to their role. One month before go-live, parallel testing will begin running in the cloud environment.
During implementation and migration, a strong project plan and project governance is imperative. Keep four elements in mind as you consider your execution strategy:
Consider Arcesium’s checklist as you’re building your migration plan:
Once you’ve mapped out your migration strategy and successfully implemented a phased approach with your trusted partner, moving from parallel to production should be seamless. In the parallel phase, your vendor will run the new system, applications, and processes in a business-as-usual manner. At this stage, you’ll also work with your partner to resolve any issues before your organization is officially ‘live’ on the new system.
To ensure a positive go-live, aligning with your cloud-based data platform vendor on a criteria list focusing on business-as-usual activities is good practice.
Determining milestones and dependencies for go-live helps to align project participants. Ensuring a smooth transition from your vendor’s project team to your ongoing relationship management team, especially in the early stages, offers the reassurance that you have a reliable partner by your side.
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We’ve assembled our practices based on the successful migration of multiple clients over the last several years at Arcesium.
A common theme we’ve found is that institutions prepared to undergo digital transformation are strategically positioned to support new investment products, meet rising customer demands, and deliver scalable, superior customer experiences. To enhance efficiency and foster growth, investment firms must transition beyond defensively managing technology debt. Firms willing to embrace a mindset focused on building technical wealth open the door to greater opportunities for advancement.
For a comprehensive perspective on migrating your systems, read Arcesium’s best practice guide: Determining a Migration Path to Modern Technology Platforms.
Sources:
1 Tech debt: The vicious cycle of legacy tech in asset management, AIMA, September 20, 2021
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