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ScaleiQ Mission Statement
Mission Value Statement
ScaleiQ Standardization for big data should follow these guidelines:
- Once data is ingested and processed, any organization handling it should operate independently from external entities. This includes considerations such as cloud-provider limitations and AI tagging.
2- The organization's data should be able to scale seamlessly at any level, taking into account factors like data-cardinality.
3- Standardized procedures should be used for data evolution to avoid the need for external proprietary tagging transformation, ensuring consistent and effective data handling.
4- Data Analytics (AI-ML) transformation should adhere to specific rules.
5- Data should be stored in a searchable format, with a standardized process for aligning massive data patterns before any final transformation takes place.
6- The value of data should be quantifiable, treating information as a valuable asset to the organization.
