| Many companies have global "data production lines," and ideally would like to distribute file based work to the facility with available capacity or skill set expertise. Standardization is a prerequisite to achieve transparency across geographically distributed file based workflows. DataFrameworks enables companies to implement repeatable file based workflows that can be ‘franchised’ to locations around the world, creating a uniform production environment. For example, the video compression process may take place in California and the quality control process in India. Furthermore, globally distributed workflows enable more production hours in the day with a "follow the sun" approach to shorten lead times. The implementation of DataFrameworks into file based workflows allows for a uniform view and organizational structure of storage across all applications, and clearly defined end-to-end workflow. Consistent, predictable, and repeatable data organization promotes efficiency, improves the ability to locate data, and reduces storage waste. |
