Limitations of Excel for Product Data Management
Limitations of Excel for Product Data Management
Ensuring Data Consistency
Maintaining consistency across different spreadsheets and files without established data models can lead to discrepancies in product data.
Scalability Issues
Excel's performance deteriorates with large datasets, leading to potential data corruption and slow operation.
Lack of Automation
The absence of automated workflows in Excel makes updating and managing product data time-consuming, especially in fast-paced manufacturing environments.
Risk of Data Errors
Manual data entry increases the likelihood of mistakes and discrepancies, compromising the accuracy of product details.
Limited Collaboration
Excel's lack of real-time collaboration features makes it difficult for teams to maintain version control and ensure data consistency.
Data Security Concerns
Excel files are vulnerable to unauthorized access, posing challenges in securing sensitive product information.
Handling Variants
Excel struggles with managing hierarchical data models, making it difficult to accurately handle product variants and configurations.
Dependency on Manual Formulas
Reliance on manually input formulas increases the likelihood of errors, potentially affecting the accuracy of critical product data.
Limited Support for Product Lifecycle Management (PLM)
Excel lacks specialized features for comprehensive product lifecycle and product management system, hindering efficient tracking and optimization from design to distribution.