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Case study trade lifecycle data banking luxoft for top5 global investment bank
1. For more information about Luxoft, visit
www.luxoft.com
www.luxoft.com/financial-services/
case study
Trade Lifecycle Data Warehouse with
Business Intelligence
Summary
26.09.2012
Develop a trade lifecycle data warehouse (DWH) with business intelligence (BI)
analysis tools to support decision‐making in trades management, capacity
management, performance control, and issues management by the bank’s front
office, middle office, and IT operations teams.
uu Client: Top five global investment bank
uu Business Area: Commercial Mortgages, Structured Finance,
Securitization, Document Management
uu Asset Classes: Commercial Mortgages
uu Technology Set: Oracle, J2EE, AJAX, Documentum, Weblogic, Struts
uu Integration: Various CMBS management systems supporting over
280,000 documents
uu User Profile: Front Office, Middle Office and Operations 360+ users
uu Geography: Worldwide
uu Relationships Status: Ongoing ODC with quarterly releases; T&M
basis
uu Services Provided: Full cycle: Business analysis, Development,
QA/Testing, Maintenance
uu Team Size: 7+ team members
uu Duration: 4+ years
2. Business Challenge
The bank needed a decision support system to enable more effective
decision making in the Prime Services department. The high-level
requirements for the data warehouse and business intelligence tools
included:
uu Minimum capacity requirements for financial product trade data (e.g.,
fixed income, FX, equities, derivatives, and loans)
—— 20+ heterogeneous source systems
—— 100+ feeds and ETL processes
—— 100+ business users
—— 500+ gb of data
—— 2M+ trade records per day
uu Daily, weekly, and monthly measurement and analysis of the data from
the bank’s trade and settlement applications
uu BI analysis tools must support features such as drag-and-drop, drill-up/
drill-down, ad-hoc queries, and customizable dashboards
02Luxoft - Case Study
Luxoft Delivered Solution
Luxoft created the project proposal, designed the system, and implemented
the DWH and BI solution for the bank, performing all of the work activities
in business analysis, architecture design, technical implementation,
integration with SOA, and post-Production support.
The data warehouse was designed for maximum scalability and
performance, as well as for ease of maintenance. The core components
included:
uu Informatica as the ETL and data integration component
uu Oracle RDBMS as the database component
uu Cognos BI as the presentation component
3. 03Luxoft - Case Study
Using the Informatica platform, Luxoft provided the following ETL and
data integration features:
uu Single environment that works with multiple, heterogeneous data
sources
uu Ability to keep up with the rapidly changing business requirements
uu Single ETL platform to reduce redundant code while delivering the data
to a variety of users and applications
uu Opportunity for early involvement of the business users in the data
integration process to accelerate the project rollout and minimize the
risk of rework
Figure 1:
Trade Lifecycle Business
Intelligence Framework
4. 04Luxoft - Case Study
With the Cognos BI engine, Luxoft provided the bank with a wide range
of BI applications and analytics including:
uu Self-service reporting capabilities that provide the requested
information quickly and easily
uu Graphical representation of data relationships
uu Easy-to-see performance metrics displayed using graphics, gauges, and
charts
uu Advanced decision support tools that combine analysis, forecasting, and
scorecarding capabilities in one easy-to-use package
uu Drill-down dashboard reporting, performance based review,
management metrics, and performance metrics tools that exploit the
service-oriented architecture to provide a configurable framework for
long-term planning
Luxoft consolidated issue‐related information, such as priorities,
criticality, time spent, and business domain, from external systems into
the data warehouse, providing support teams with the BI tools they
needed to:
uu React quickly to issues
uu Plan resolution policies
uu Plan resources
uu Manage the support team workload
Luxoft made the complex process of load analysis simple for the bank’s IT
operations by providing the following BI capabilities:
uu Monitoring performance and throughput or load on a server, server
farm, or property
uu Performance analysis, including analysis of the impact of new releases
on the capacity
uu Performance tuning to ensure the most efficient use of the existing
infrastructure
uu Benchmarking the workload growth or shrinkage for capacity planning
uu Identifying the influences on the demand for the computing resources
uu Capacity planning tools
5. 05Luxoft - Case Study
Customer Feedback
Benefits
Luxoft delivered the trade lifecycle business intelligence solution on time
and within the budget. The bank’s Prime Services department realized the
following benefits:
uu Single source of truth for key performance indicators maintains
alignment to the bank’s business objectives
uu Real-time visibility into the trading and system performance to
streamline operations
uu Advanced, fact-based decision-making support to increase productivity
and improve risk management, performance control, capacity
management, investment management, and issues management
uu Faster, more accurate forecasting and planning support
uu A highly scalable architecture to reduce future development costs
uu Predictive system intelligence to reduce downtime
Detailed feedback is available on request.