Reduction in Manual Reporting and Scalability Delivered With Strategic Data Analytics
From hours to minutes, StradIT delivered a leading investment bank by modernizing its data infrastructure 360°.
Client Overview
A global investment bank running multi-asset trading operations spanning equities, fixed income, foreign exchange, and derivatives. The bank was wrestling with:
- Data lived in silos across the system.
- Reporting ran on batch processes.
- Analysts spent countless hours on manual reporting.
- Complex risk models are required for FRTB, Basel III, and MiFID II compliance.
For them, patching the old system wasn't the answer. They required a complete data and analytics transformation, and StradIT was their best bet.
StradIT: The Leader in Data and Analytics Modernization
StradIT's Data Analytics CoE combines deep technical expertise with a practical understanding of how trading floors, risk functions, and compliance teams actually work.
- Fully tailored data intelligence
- AI/ML-driven data analytics
- Lean, high-impact squad for every client
- Expertise to handle structured and unstructured data
We partnered with the bank deploying a focused team of four Data Engineers, one Data Scientist, and one Data Architect — a lean, high-impact squad that worked side by side with client teams.
What We Offered
The bank needed more than a technology upgrade. They needed a platform that could unify scattered data sources, deliver real-time insights, and scale gracefully as trading volumes grow.
- Building a cloud-native enterprise data lake
- Enabling real-time data ingestion
- Creating a unified data model
- Delivering high-performance analytics
- Empowering business users with self-service reporting tools
- Embedding governance, lineage, and audit controls from day one
How We Delivered it
StradIT assembled a data squad featuring the best minds in analytics and AI, bringing clarity to chaos and confidence to the client through a structured approach.
Step 1: Laying the Foundation with a Scalable Data Lake
We designed and implemented an Enterprise Data Lake on Microsoft Azure. This helped the client to have a centralized repository with elastic storage and compute.
Step 2: Bringing Data to Life in Real Time
As Batch processing was killing the agility of our client, our data squad introduced real-time data ingestion using Kafka and Spark Streaming. This resulted in the low-latency processing of trade executions and market data.
Step 3: Creating One Version of the Truth
We built a Unified Data Model and implemented Master Data Management to deal with the inconsistent data, plaguing the bank. This standardized the trade data, counterparty information, and reference data, resulting in confusion-free data processing across the teams.
Step 4: Powering Advanced Analytics at Speed
We then deployed a high-performance layer using Databricks and Snowflake for heavy-duty analytics. This worked best for portfolio risk calculations, scenario modeling, and stress testing at speeds that simply were not possible before. Our client was now able to run complex models without waiting overnight for results.
Step 5: Putting Insights in the Hands of Business Users
We rolled out self-service business intelligence through Power BI and Tableau. This gave traders, risk analysts, and compliance officers of the bank the ability to explore data and generate reports on their own terms and pace.
Step 6: Building Governance Into the DNA
We deployed Apache Atlas and Collibra so that the bank can experience automated data lineage, governance controls, and audit trails. Result? The bank now has full visibility into the origin of data, its transformation, and its intended use.
What the Client Achieved
As we wrapped up the project, the results spoke for themselves:
- Intraday risk visibility improved from hours to minutes.
- Manual reporting efforts dropped by 80%.
- Accurate and consistent trade and market data.
- Sharper insights into data to make faster, smarter decisions.
The bank moved from firefighting data issues to confidently leveraging AI-powered analytics as a competitive advantage. Do you also feel like you're drowning in data complexity? StradIT can help you build a modern analytics foundation that scales with your ambitions.
Request a Data and Analytics Assessment