Data Transformation – Implementing processes and technology to build the foundation for Knowledge and Technical Transformation

• Improve revenue, reduce costs, increase business agility, improve customer experience, and  develop new products or services
• Gain insight into business operations and finances

EnCORE Data Transformation targets collection and assimilation of data specific to the desired outcome

• Combines data from a variety of sources for identified subject areas
• Utilizes modern data tools and techniques

Multi-step process from source to destination

• Assess internal and external data sources
• Cleanse data for standardization, duplication, and accuracy
• Stage for consumption

Definition of success

• Automated, repeatable process is established
• Recognized, reliable source of knowledge for organization

End-to-end process transforming source data to usable knowledge by Subject Area

Accelerate the data transformation process

• Real-time data collection
• Remove latency
• Speed up insight
• Achieve outcomes sooner

Create a data supply chain built with today’s toolsets and architectures aligned with the varied data sources

• ETL – for structured data
• EDI – for standardized industry exchange data
• RPA – for structured and unstructured data

Enable the organization to move, manage, and mobilize the large amounts of disparate data across the organization

Organize knowledge into subject areas to simplify downstream consumption and analytics