Case Study · Data Analytics

80% Reduction in Manual Reporting
& Scalability Delivered

From hours to minutes — a 360° data infrastructure transformation.

Discover how StradIT modernised a leading investment bank's data infrastructure end-to-end, delivering real-time analytics, a cloud-native data lake, and self-service reporting that turned data complexity into competitive advantage.

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80%
Less Manual Reporting
Real-Time
Risk Visibility
6-Person
Lean Delivery Squad
360°
Data Transformation
Pipeline · ActiveLATENCY 82msMANUAL OPS −80%QUALITY 99.2%Case Study · Data
01Client Overview

A Global Investment Bank Drowning in Data

A global investment bank running multi-asset trading operations spanning equities, fixed income, foreign exchange, and derivatives. Despite the scale of their operations, their data infrastructure had not kept pace — patching the old system was not the answer. They needed a complete transformation, and StradIT was their best bet.

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Data lived in silos across disconnected systems

Reporting ran on slow, outdated batch processes

Analysts spent countless hours on manual reporting tasks

Complex risk models required for FRTB, Basel III, and MiFID II compliance

02Why StradIT

The Leader in Data & Analytics Modernisation

StradIT's Data Analytics CoE combines deep technical expertise with a practical understanding of how trading floors, risk functions, and compliance teams actually work.

We partnered with the bank and their system integrator, deploying a focused team of four Data Engineers, one Data Scientist, and one Data Architect. This lean, high-impact squad worked side by side with client teams to design and deliver a platform built for speed, scale, and governance.

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✓Fully tailored data intelligence
✓AI/ML-driven data analytics
✓Lean, high-impact squad for every client
✓Expertise to handle structured and unstructured data
03What We Offered

More Than a Technology Upgrade

The bank needed a platform that could unify scattered data sources, deliver real-time insights, and scale gracefully as trading volumes grow. We planned and delivered 100% customised solutions across every layer of their data estate.

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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

04How We Delivered It

Clarity to Chaos. Confidence to the Client.

StradIT assembled a data squad featuring the best minds in analytics and AI — working through a structured six-step approach to bring order to complexity.

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Laying the Foundation with a Scalable Data Lake
Microsoft Azure

We designed and implemented an Enterprise Data Lake on Microsoft Azure, giving the client a centralised repository with elastic storage and compute — a single source of truth for all trading and risk data.

Bringing Data to Life in Real Time
Kafka · Spark Streaming

Batch processing was killing the agility of our client. Our data squad introduced real-time data ingestion using Kafka and Spark Streaming, resulting in low-latency processing of trade executions and market data the moment it moves.

Creating One Version of the Truth
Master Data Management

We built a Unified Data Model and implemented Master Data Management to eliminate inconsistent data plaguing the bank. This standardised trade data, counterparty information, and reference data — resulting in confusion-free processing across every team.

Powering Advanced Analytics at Speed
Databricks · Snowflake

We deployed a high-performance analytics layer using Databricks and Snowflake for portfolio risk calculations, scenario modelling, and stress testing at speeds simply not possible before. Complex models no longer required overnight runs.

Putting Insights in the Hands of Business Users
Power BI · Tableau

We rolled out self-service business intelligence through Power BI and Tableau, giving traders, risk analysts, and compliance officers the ability to explore data and generate reports on their own terms — no IT ticket required.

Building Governance Into the DNA
Apache Atlas · Collibra

We deployed Apache Atlas and Collibra for automated data lineage, governance controls, and audit trails. The bank now has full visibility into the origin of every data point, its transformations, and its intended use.

Drowning in Data Complexity?

StradIT Can Build the Foundation That Scales

We help you build a modern analytics foundation that grows with your ambitions — from data lake to real-time insights, governed and production-ready.

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