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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 tools designed to help businesses in specific industries optimize their operations. They provide a predefined set of technical and business data models that can be easily adapted to fit an organization's needs, allowing them to cut costs, increase efficiency, and capitalize on emerging opportunities. These models provide common elements derived from best practices, government regulations, and the complex data and analytic needs of an industry-specific organization and can have a significant impact on a company's operations and decision-making. For example, many banks are now leveraging Industry Data Model tools to detect fraudulent activities quickly, thereby safeguarding customers from potential fraud. Furthermore, many insurance agencies are also using predictive analytics to accurately assess risk profiles and drive better decision-making processes. IDMs are robust and can scale with new entrants and regulations while maintaining compliance standards and ensuring customer security.


An intelligent and deployment-ready Industry Data Model can create efficiencies by streamlining processes, as well as offering the ability to synthesize vast amounts of data for more accurate decision-making. The improved accuracy in insights also increases agility when responding to dynamic market shifts, allowing financial agencies to remain agile and competitive. Ultimately, this helps organizations to anticipate issues before they arise and proactively stay ahead of the competition.


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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