Enterprise Data Management

Security Master Scalability for Institutional and Wealth

BACKGROUND A leading global provider of integrated solutions for institutional asset managers used Markit EDM to provision the security master supporting their multi-client investment management platform. The organization wanted to adopt an approach that would extend the capabilities to also satisfy their wealth management (and banking) security master needs. Both within and outside of Investment Management Services, their clients have growing demands for customization. Meradia was engaged to facilitate and contribute to a series of design workshops with the aim of answering three key questions: Could Markit EDM (and the supporting systems) meet the growing needs of the Investment... Read Full Article

Pricing Data Process Modernization for Investment Advisory Firm

BACKGROUND Meradia’s client, an independently-owned investment advisory firm with approximately $60 billion AUM, needed to modernize their ability to manage market data, especially pricing data. The firm’s existing data architecture consisted of Excel-based processes to manage, download, review, and maintain important market data assets underlying daily positions and portfolio valuations. With continuing growth, the firm recognized that this process was limiting scalability and operational efficiency, and potentially exposed the firm to unnecessary risk. ANALYSIS In order to recommend future state options, we needed to understand current state of the market data along with firm’s IT infrastructure and future technology... Read Full Article

Data Warehouse Implementation for Multi-boutique Investment Manager

BACKGROUND Meradia’s client, a $50 billion AUM multi-boutique investment manager, struggled to generate timely client or management reporting. Products included public funds, ETF’s, institutional, private client UMA, and retail UMA. Portfolio accounting, reconciliation, performance, and client reporting. These functions are outsourced to multiple vendors including Archer, SEI, Citi and CheckFree. Further challenging the client in this complex landscape was a lack of governance across the data landscape. The client struggled with taxonomy, legacy data, and poor documentation. They could not easily add new data sources or accurately report across all time periods and sources. The client’s Chief Technology and... Read Full Article