Project snapshot
We helped a tier-one bank consolidate different data sources and modernize capital markets operations with a cloud-based, unified data platform.
A major milestone in the client’s multi-year modernization strategy, the platform helped the bank integrate internal and external data, improve operational efficiency, and support real-time analytics across trading, risk, and compliance functions.
Business challenge
Data is the lifeblood of today’s capital markets. Firms that can harness the power of data have an edge in trading performance, risk management, compliance, and operational agility.
Data is fragmented across multiple systems and sources due to various business and IT constraints. At the same time, business and operational teams require customized data sets to support their work. As a result, our client faced challenges such as complex many-to-many integrations, heavy data management overhead, data quality issues, and limited visibility into data lineage.
This led to a disjointed data landscape and the following performance challenges:
- Slow and inefficient data onboarding
- Limited access to real-time insights
- Weak data governance and lineage visibility
- High operational costs to maintain the infrastructure
- Severely constrained scalability
Our solution
We supported the client in designing and implementing a robust, scalable, unified data management platform. This solution consolidated disparate data sources into a single source of truth for capital markets operations.
After an initial consultation, we assembled a team to provide targeted expertise and supplement the bank’s internal resources. Our developers brought a deep knowledge of the finance and capital markets industry, as well as hands-on proficiency in developing high-load, low-latency solutions based on AWS, Scala, Collibra, Kafka, and Databricks.
The project comprised the following key elements:
- Microservices-based architecture. We built the data platform on scalable, modular architecture. This enabled high-performance, ultra-low-latency data querying (less than 20ms), while also providing the rails for speedy future updates without disrupting operations.
- API-driven connectivity. The platform integrated disparate systems and data sources using standardized API interfaces. This resulted in seamless data exchange, turning a fragmented patchwork of data sources into a single, coherent ecosystem.
- Real-time data analytics. Leveraging our proprietary Data Analytics Accelerator for Securities Services, it enabled real-time ingestion and processing of market and transaction data for decision-making flows. This laid the foundation for advanced analytics capabilities, dynamic market insights, and more sophisticated reporting.
- Automated data governance. We embedded automated controls for data quality, lineage, and compliance into the platform. This provided stakeholders with full visibility into data flows while reducing manual compliance processes and human error.
Business outcomes
The platform transformed the bank’s internal operations, replacing multiple fragmented data sources and systems with a single source of truth for real-time capital markets data. This led to measurable improvements across the firm’s trading, risk, and compliance functions.
60%
faster onboarding of new data sources, accelerating access to market, reference, and transactional dat
40%
faster time-to-market for analytics and reporting products, with significantly reduced engineering involvement
70%
reduction in time spent searching for data, thanks to centralized access, governance, and lineage
In addition to improving day-to-day efficiency, the platform secures the bank’s position as a capital markets and innovation leader worldwide.