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Automated Industry Data Model - Banking

Celebal Technologies Private Limited

Automated Industry Data Model - Banking

Celebal Technologies Private Limited

Uncover Business Opportunities & Gain Customer Insight with Industry Data Model

Industry Data Models are powerful frameworks designed to help enterprises in specific sectors optimize operations. They provide a predefined set of technical and business data models that can be adapted to fit organizational needs—reducing costs, increasing efficiency, and capitalizing on emerging opportunities. These models incorporate best practices, regulatory requirements, and industry-specific analytic needs, significantly influencing operational strategies and enterprise decisions. For example, banks use Industry Data Models to detect fraud swiftly, ensuring customer safety, while insurance agencies apply predictive analytics to refine risk assessment and decision accuracy. IDMs adapt to new regulations and participants while maintaining compliance and security standards.

Celebal Technologies' Automated Industry Data Models build on this foundation by enabling real-time monitoring of banking KPIs through interactive dashboards spanning various business lines. These models extract intelligent insights from unstructured data with minimal manual input, supporting precision-led decisions and sustained market advantage. Structured and ready for deployment, they integrate data from core banking systems, lending platforms, CRM tools, and asset management sources to deliver business-critical KPIs across banking sub-domains. As a result, enterprises gain the clarity needed to respond swiftly to market shifts, anticipate operational issues, and sharpen their competitive stance—making informed, data-backed decisions an everyday norm.


Key KPIs -

Summary: Extend pre-built data models for holistic monitoring and meaningful insights

Retail: Enhanced visibility into daily performance of various customer divisions and territories

Operational: Benefit from strategic decision-making capabilities based on historical data.

Assets: Enhanced enterprise-wide view of all the functionalities


Business Impacts -

32% Enhanced Operational Efficiency

10X Superior Business Visibility

4X Better Decision Making

3X Reduction in Loss

6X Process Simplification

40% Rise in Customer Retention

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