How Hakkoda Built a Modern Asset Management App in Sigma

MAMBA, developed by Hakkoda, an IBM company, is an innovative asset management analytics app built using Sigma's AI capabilities and direct connection to Snowflake. It aims to resolve the inefficiencies in traditional asset management by providing a unified, real-time view of portfolio and market data, allowing for seamless decision-making and reducing the need for ad hoc report generation. MAMBA focuses on delivering a single version of truth, enabling real-time analytics tailored for various user personas like portfolio managers and risk teams while maintaining data security and scalability with role-based access and reusable components. The app's design process emphasized user involvement, starting with prototyping in Sigma's environment and iterating based on feedback to ensure an intuitive interface that integrates analytics into the workflow rather than as a separate step. The app's dynamic features allow for interactive data exploration, making it a powerful tool for enhancing speed and accuracy in decision-making. The future of MAMBA includes leveraging AI and predictive models to further enhance its capabilities, with plans to integrate features like Snowflake Cortex for advanced analytics. The app is positioned as a tailored solution for the asset management industry, distinguishing itself from generic business intelligence tools.