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Enterprise Data Management

In recent years,   financial services, insurance and other for-profit organizations have come under immense  pressure to re-organize existing enterprise data management practices and the corresponding system environment to meet ever increasing regulatory demands and gain a competitive advantage by engaging customers via various channels.   Empowering masses of business users and decision makers by unlocking information insight was once considered a privilege, but today it is necessary not just for ensuring a successful financial outcomes, it is necessary for survival in a competitive marketplace.   

Do we start with a data or technology strategy ?   At which point of the lifecycle should the data governance and quality framework be introduced and how  ?    Do we need data architects, BI BAs and other data specialists or we can get away with generic SMEs  ?    We've come across these type of questions many times and our talented resources are equipped with experience and skills to guide you through any unknowns encountered  during the project journey.   

Our data management offering covers Data Warehousing, Business Intelligence, Enterprise Performance management, Data Quality, Data Governance and Integration (MDM, CDM, ODS) disciplines.  The following functional areas are in scope:


Program and Project Management
Business Requirements Analysis 
Data, Functional and Non-Functional System Requirements Analysis



Enterprise & Solution Architecture
Technology Roadmap
Data Modeling
Data Profiling
ETL/BI Development
Test Strategy & Plan
Test Automation & Execution
Performance Testing