Application of FIBO in Master Data Management

Although many financial services firms are trying to introduce Master Data Management (MDM) to overcome data silos by integrating various systems to speak in common language, variety of business requirements from IT and business stakeholders create challenges in building a common data model across the enterprise. Considering FIBO as a common language for the industry-wide terms and facts and relationships associated with financial services, it is potentially an excellent basis for a data model covering overall enterprise requirements.

In this presentation, we introduce FIBO in our ongoing efforts in building enterprise MDM model. We begin from the challenges in current state and then cover our strategic approach to build and deploy enterprise Security, Client and Account masters. We also introduce Proof of Concept implementation of security master which covers Fixed Income and Derivatives instruments and show how this can solve real world problems in integrating, mastering and distributing data with complex relationships. This includes:

Challenges & Transition Strategy
Case Study for Real World Problems and Proof of Concept Implementation
Possible Future Extensions

Mani Keeran has over 20 years of business consulting and information technology experience in the areas of strategy development, product management, business analysis, process model design, data architecture, data model design and application development. His experience spans financial services, high technology, manufacturing, telecommunication, and transportation industries. He has extensive experience in implementing rapid application development in software design, development and implementation. His recent research interests include of Lean Software Development, Knowledge Management and Ontology based enterprise modeling for both structured and semi-structured data. Mani is currently managing the Information Architecture Group for Franklin Templeton Investments. Mani has been the President and Board Member for San Francisco Data Management Association since 2008. Mani has an MBA from SUNY Buffalo’s Jacobs School of Management and holds the Chartered Financial Analyst (CFA) charter.

Preeti Sharma is a Data Architect working for Franklin Templeton Investments. She was formerly a Database Lead Engineer for IGT. In her current role at Franklin Templeton Investments, she has worked on building data architecture for various systems including MDMs, DW/Data Marts and OLTPs. She has also designed and implemented an home grown Ontology-based solution for classification of semi-structured documents. She has a Bachelor’s degree in Electronics from Delhi University India and a Master’s degree in Computer Applications from MDU University India. She is a Claritas Certificate holder from CFA Institute and is also a member of DAMA.

Gi Kim is an Information Architect of Franklin Templeton Investments. As proven by his academic history and professional experience, he has strong background in both of information technology and business side of financial services. Gi received his M.S. degree in Computer Science from Seoul National University, focusing on data management and modeling studies. He became a CFA charterholder after his 3 years experiences at Risk Management organization of Hyundai Securities. By combining his backgrounds in two different worlds, he could play a role as a bridge between business and technology in several projects after he joined PwC. As a professional consultant, he advised financial services firms to improve their data management practice for efficient risk management and investment activities. He also designed and delivered successful database systems for his clients. At Franklin Templeton, he is currently working on Security and Product Master Data Management projects as the Informat