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Automated Industry Data Model - Manufacturing

av Celebal Technologies Private Limited

Kvalificerad för Azure-fördel

Unify SAP & legacy data to simplify KPI tracking for better operations, finance, inventory, and SCM.

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.

The manufacturing industry operates in a highly competitive environment, where business leaders often face the challenge of identifying the most reliable data sets for optimizing operations despite having a vast amount of data and access to extensive analytics. Celebal Technologies' Automated Industry Data Models offer a data-driven approach to monitoring manufacturing KPIs through interactive dashboards across business functions. By utilizing IDMs, enterprises can extract meaningful insights from complex, unstructured data with minimal effort, ensuring operational efficiency, market competitiveness, and sustained growth. These data models provide business-critical KPIs tailored to different manufacturing sub-domains (HQ analysis, accounts payable & receivable, operations, and inventory stock analysis) within a modern data fabric.

Our deployment-ready Industry Data Model consolidates sales, supply chain, and inventory data from SAP ERP and non-SAP/legacy applications for unified insights. By leveraging standardized performance metrics, manufacturers can drive up to 20% inventory optimization and reduce decision time by up to 25%, while enhancing production planning, quality control, and cost efficiency.

Core KPI Dashboards:

  • HQ Analysis: Expand pre-built data models to maximize data-driven insights and strategic decision-making.

  • Accounts Payable & Receivable: Centralize and analyze financial data for improved cash flow management and operational efficiency.

  • Operations: Leverage data analytics to optimize workflows, resource allocation, and production efficiency.

  • Inventory Stock Analysis: Gain real-time visibility into inventory levels and production stages for better supply chain management.

Streamline operations with data-driven precision—start transforming your enterprise today.

En snabbtitt

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