For more information about Luxoft, visitwww.luxoft.comwww.luxoft.com/financial-services/case studyTrade Lifecycle Data Warehouse withBusiness IntelligenceSummary26.09.2012Develop a trade lifecycle data warehouse (DWH) with business intelligence (BI)analysis tools to support decision‐making in trades management, capacitymanagement, performance control, and issues management by the bank’s frontoffice, middle office, and IT operations teams.uu Client: Top five global investment bankuu Business Area: Commercial Mortgages, Structured Finance,Securitization, Document Managementuu Asset Classes: Commercial Mortgagesuu Technology Set: Oracle, J2EE, AJAX, Documentum, Weblogic, Strutsuu Integration: Various CMBS management systems supporting over280,000 documentsuu User Profile: Front Office, Middle Office and Operations 360+ usersuu Geography: Worldwideuu Relationships Status: Ongoing ODC with quarterly releases; T&Mbasisuu Services Provided: Full cycle: Business analysis, Development,QA/Testing, Maintenanceuu Team Size: 7+ team membersuu Duration: 4+ years
Business ChallengeThe bank needed a decision support system to enable more effectivedecision making in the Prime Services department. The high-levelrequirements for the data warehouse and business intelligence toolsincluded: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 dayuu Daily, weekly, and monthly measurement and analysis of the data fromthe bank’s trade and settlement applicationsuu BI analysis tools must support features such as drag-and-drop, drill-up/drill-down, ad-hoc queries, and customizable dashboards02Luxoft - Case StudyLuxoft Delivered SolutionLuxoft created the project proposal, designed the system, and implementedthe DWH and BI solution for the bank, performing all of the work activitiesin business analysis, architecture design, technical implementation,integration with SOA, and post-Production support.The data warehouse was designed for maximum scalability andperformance, as well as for ease of maintenance. The core componentsincluded:uu Informatica as the ETL and data integration componentuu Oracle RDBMS as the database componentuu Cognos BI as the presentation component
03Luxoft - Case StudyUsing the Informatica platform, Luxoft provided the following ETL anddata integration features:uu Single environment that works with multiple, heterogeneous datasourcesuu Ability to keep up with the rapidly changing business requirementsuu Single ETL platform to reduce redundant code while delivering the datato a variety of users and applicationsuu Opportunity for early involvement of the business users in the dataintegration process to accelerate the project rollout and minimize therisk of reworkFigure 1:Trade Lifecycle BusinessIntelligence Framework
04Luxoft - Case StudyWith the Cognos BI engine, Luxoft provided the bank with a wide rangeof BI applications and analytics including:uu Self-service reporting capabilities that provide the requestedinformation quickly and easilyuu Graphical representation of data relationshipsuu Easy-to-see performance metrics displayed using graphics, gauges, andchartsuu Advanced decision support tools that combine analysis, forecasting, andscorecarding capabilities in one easy-to-use packageuu Drill-down dashboard reporting, performance based review,management metrics, and performance metrics tools that exploit theservice-oriented architecture to provide a configurable framework forlong-term planningLuxoft consolidated issue‐related information, such as priorities,criticality, time spent, and business domain, from external systems intothe data warehouse, providing support teams with the BI tools theyneeded to:uu React quickly to issuesuu Plan resolution policiesuu Plan resourcesuu Manage the support team workloadLuxoft made the complex process of load analysis simple for the bank’s IToperations by providing the following BI capabilities:uu Monitoring performance and throughput or load on a server, serverfarm, or propertyuu Performance analysis, including analysis of the impact of new releaseson the capacityuu Performance tuning to ensure the most efficient use of the existinginfrastructureuu Benchmarking the workload growth or shrinkage for capacity planninguu Identifying the influences on the demand for the computing resourcesuu Capacity planning tools
05Luxoft - Case StudyCustomer FeedbackBenefitsLuxoft delivered the trade lifecycle business intelligence solution on timeand within the budget. The bank’s Prime Services department realized thefollowing benefits:uu Single source of truth for key performance indicators maintainsalignment to the bank’s business objectivesuu Real-time visibility into the trading and system performance tostreamline operationsuu Advanced, fact-based decision-making support to increase productivityand improve risk management, performance control, capacitymanagement, investment management, and issues managementuu Faster, more accurate forecasting and planning supportuu A highly scalable architecture to reduce future development costsuu Predictive system intelligence to reduce downtimeDetailed feedback is available on request.