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Formerly known as Global Research & Risk Solutions

  • Crisil Integral IQ
  • Asset Management
  • Automation
  • business-transformation
  • Data Quality
  • Digital Transformation
  • Fixed Income
  • Investment Management
  • Operational Excellence
  • Performance Attribution
  • Power-BI
  • Python
  • Scalability
February 26, 2026 Content Type Case study

Delivered 82% execution efficiency for a leading global asset manager through automation

February 26, 2026 Content Type Case study
 

    Background

     

    • The fixed income performance attribution team of a leading global asset manager was facing operational bottlenecks in reporting workflows, leading to delays
    • Weekly and monthly attribution report generation was heavy on manual effort and prone to data quality issues, which affected reporting accuracy and decision-making confidence
    • Lack of standardized reporting formats made comparisons across portfolios difficult and slow report turnaround times impacted decision timelines of portfolio managers

    Our solution

    Automation and process transformation

    • Automated 16+ attribution report generation processes

    Standardized reporting framework

    • Established consistent formats for cross-portfolio comparisons
    • Enhanced data quality controls

    Infrastructure set-up

    • Set up centralized GitHub repositories and central servers
    • Improved version control, process documentation and collaboration

    Ad hoc enhancements

    • Delivered the improvements portfolio managers wanted, including conversion of Excel reports into Power BI

    Client impact

    • Improved overall efficiency by 82% through automation
    • Saved 1,285 hours annually across automated processes
    • Enhanced decision-making by portfolio managers with unified Power BI dashboards
    • Eliminated key person dependency and operational risk through centralized version control, ensuring uninterrupted client delivery and business continuity

    Key transformation metrics

    82%

    Efficiency gain
     

    1,285

    Hours saved/ year

    13

    Processes automated

    ~15 days

    Average delivery time

    Tools and technology

    Python

    GitHub

    Power BI

    Central servers

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