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Development of a Data Standardization Platform for Digital Asset Management
  1. case
  2. Development of a Data Standardization Platform for Digital Asset Management

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Development of a Data Standardization Platform for Digital Asset Management

spiria.com
Telecommunications
Consumer products & services
eCommerce

Data Management Complexity and Manual Operations

The Kwikee platform faced challenges in managing heterogeneous data formats from multiple content producers and varying customer requirements, leading to labor-intensive manual data mapping and configuration processes that increased operational costs and error risks.

About the Client

American leader in packaging design and production for consumer packaged goods, offering digital product and brand asset management solutions

Operational Efficiency and Data Standardization Goals

  • Eliminate manual data mapping through automated configuration tools
  • Standardize diverse data formats while preserving original content integrity
  • Reduce processing costs through streamlined data exchange workflows
  • Enable non-technical users to implement and modify dataflow configurations

Core System Capabilities

  • Intuitive UI for dataflow mapping configuration without coding requirements
  • Multi-format data ingestion and normalization engine
  • Asynchronous task processing queue for large-scale operations
  • RESTful API integration layer for third-party systems
  • Version control for configuration templates

Technology Stack Requirements

React
Python
RabbitMQ
PostgreSQL

System Integration Needs

  • RESTful API endpoints for external data sources
  • Third-party authentication providers
  • Cloud storage solutions for digital assets

Operational Requirements

  • Horizontal scalability for handling large data volumes
  • High-availability architecture with fault tolerance
  • Role-based access control for data security
  • Real-time processing monitoring dashboard
  • Comprehensive audit logging capabilities

Operational Efficiency and Cost Reduction

Implementation of the Kwikee Distribution Engine is expected to significantly decrease manual data processing tasks, reduce operational costs by 40-60%, improve data exchange accuracy through standardized workflows, and enable faster onboarding of new content providers and customers while maintaining compliance with industry-specific data requirements.

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