Health care enterprises use big data methods and technologies to gain insights for improving the efficacy, efficiency, and accessibility of their services. Effective big data initiatives require shared understanding among diverse stakeholders of business challenges and the often complex architectures required to address them. Enterprise and solution architects can use the ArchiMate language to build this understanding with compelling visual models.
This presentation introduces the ArchiMate 3.0 language, and uses it to explore the US National Institute of Standards and Technology (NIST) Big Data Reference Architecture (NBDRA), and to present a health care case study based on the NBDRA. Participants will learn how to use the ArchiMate 3.0 language, in alignment with the TOGAF framework, to propose, justify and plan big data initiatives, and to guide their successful implementation.