RiskVA: A Visual Analytics System for Consumer Credit Risks Analysis

نویسندگان

  • Xiaoyu Wang
  • Dong Jeong
  • Remco Chang
  • Arun Pinto
  • William Ribarsky
چکیده

Consumer credit risk analysis plays a significant role in stabilizing a bank’s investments and in maximizing its profits. As a large financial institution, Bank of America relies on effective risk analysis to minimize the net credit loss resulting from its credit products (e.g. mortgage and credit card loans). Due to the size and complexity of the data involved in risk analysis, risk analysts are facing challenges in monitoring large amounts of data, comparing its geospatial and temporal patterns, and developing appropriate management strategies based on the correlation from multiple analysis perspectives. To address these challenges, we present RiskVA, an interactive visual analytics system that is tailored to support credit risk analysis. RiskVA provides risk analysts with interactive data exploration and information correlation, and visually assists them in depicting market fluctuations and temporal trends of the targeted credit product. When evaluated by analysts from Bank of America, RiskVA was appreciated for its effectiveness in performing in-depth risk analysis, and is considered useful in facilitating the bank’s risk management operations.

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تاریخ انتشار 2012