Our 30 plus years of embedded experience and knowledge capital provides EIMetrixs with a unique assessment on how data transformation is valuable to a business. We view data transformation as an integrated set of methodologies, practices, services and technologies wrapped in the “business know how” and the “business needs.”

• Many times a ‘green field’ approach is not possible to extract value, economics or greater growth and success from non-integrated platforms.
• Drawing meaningful data from multiple sources of information (instrumentation, software processes, static data sources, and people).
• Invariably, many of the vital components were never designed to work together.
• The value of dynamic, changing data is perishable, and this value changes over time.

Thanks to Dynamic Data Logic and metadata-centric intelligence across the Intelligent Data Platform, products and solutions gain intelligence to provide suggestions, recommendations, and automation of tasks such as discovering data, tagging data, and recognizing data entities and domains.

The platform automatically detects the structure in new unstructured data and creates mappings to onboard similar data in the future.

The metadata-centric intelligence will be increasingly integrated with all the capabilities of the EIMetrixs Intelligent Data Platform to automate tasks and boost overall productivity.

Machine learning-based analytics  technology provides monitoring and management of all products across the Intelligent Data Platform, and will provide customers with the information, data-logic and generated intelligence to make value-generating, business decisions.