Model management and analytics (MMA) aims to use models and related artifacts to derive relevant information to support decision making processes of organizations. Various different models as well as analytics approaches could be identified. In addition, MMA systems will have different requirements and as such apply different architecture design configurations. In this chapter we will discuss the key concepts related to MMA by referring also to existing data analytics approaches. We present and discuss the current key data analytics reference architectures in the literature and the key requirements for MMA. Subsequently, we provide the reference architecture of MMA using multiple architecture viewpoints. We illustrate the framework using a real-world example.
|Titel||Model Management and Analytics for Large Scale Systems|
|ISBN van elektronische versie||9780128166505|
|ISBN van geprinte versie||9780128166499|
|Status||Gepubliceerd - 17 sep 2019|
Babur, Ö., Tekinerdogan, B., Cleophas, L. G. W. A., van den Brand, M. G. J., & Aksit, M. (2019). Introduction to model management and analytics. In Model Management and Analytics for Large Scale Systems (blz. 3-11). Elsevier. https://doi.org/10.1016/B978-0-12-816649-9.00009-0