Decimal Point Analytics
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Success Story

Building a Dynamic Industry Classification System

Client overview

A leading investment research firm needed a flexible, real-time industry classification system to enhance their investment strategies and client reporting. Existing rigid classification models failed to adapt to rapidly changing market dynamics, limiting analytical depth.

The Challenge

The client faced several critical hurdles:

  • Static Industry Classifications: Legacy frameworks lacked flexibility to reflect evolving market dynamics and emerging sectors.
  • Limited Analytical Precision: Rigid classification structures restricted deeper drill-downs across industries and sub-industries.
  • Manual Updates: Adjusting sector classifications to market changes was labor-intensive, slow, and error-prone.

Solution Provided

Decimal Point Analytics delivered a dynamic, modular classification system to automate and scale industry categorization.

The solution integrated real-time financial datasets to ensure up-to-date company and sector information. A rules-based engine, enhanced with machine learning, enabled automatic sector assignments that adjusted dynamically to market changes.

To support deeper analysis, the framework allowed user-defined hierarchies—enabling multi-level views across sectors, sub-sectors, and niche categories. Flexible outputs ensured seamless integration into internal tools and client reports.

Key capabilities included:

  • Automated sector reclassification based on real-time data
  • Configurable industry trees aligned with investment themes
  • Scalable coverage across global markets and emerging sectors
  • Direct integration with analytics dashboards and reporting systems

The Results

DPA’s engagement delivered tangible business impact:

  • 60% Reduction in Update Time: Industry classifications updated in near real-time instead of manual monthly refreshes.
  • Improved Analytical Accuracy: More granular, current industry views led to sharper investment analysis and client insights.
  • Operational Efficiency Gains: Freed analysts from manual sector realignments, allowing them to focus on strategic analysis.
  • Enhanced Client Reporting: Dynamic sector reporting became a key differentiator in client deliverables.

Key Takeaways

Key lessons from this transformation:

  • Real-Time Flexibility Drives Better Insights: Dynamic systems outperform static models in today’s fast-moving markets.
  • Automation Enhances Analyst Productivity: Reducing manual classification tasks unlocks strategic focus.
  • Customized Views Deliver Strategic Advantage: Tailored classification structures align better with evolving investment strategies.

By enabling a dynamic, flexible industry classification system, the client strengthened its investment insights, operational agility, and client deliverables — positioning itself for success in rapidly changing markets.

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