Personal tools
You are here: Home Research Theses Enterprise Architecture Ontology: A Shared Vocabulary for Efficient Decision Making for Software Development Organizations

Enterprise Architecture Ontology: A Shared Vocabulary for Efficient Decision Making for Software Development Organizations

Enterprise Architecture Ontology: A Shared Vocabulary for Efficient Decision Making for Software Development Organizations - By Praveen Nagarajan, Sponsored by The Ohio Department of Job and Family Services

To survive in today’s highly competitive, high demand business environment, management needs intelligence information to efficiently manage corporate operations and support decision-making, while support-level staff need better knowledge to provide better customer services for gaining satisfaction and retaining loyalty. Vast amounts of valuable operational data from which key insights may be drawn are scattered in various corporate databases and needs consolidating so that it may be accessed and shared among authorized users within a corporation and/or business partners. A system for integrated knowledge management and decision support is thus in great demand. A synergy can be created by the integration of decision support and knowledge management, since these two processes involve activities that complement each other. The knowledge retrieval, storage, and dissemination activities for knowledge management enhance the dynamic creation and maintenance of decision support models, subsequently enhancing the decision support process. From the system design point of view, the challenge is that we need a new generation of knowledge-enabled systems that will provide an enterprise with an infrastructure to capture, cleanse, store, organize, leverage and disseminate, not only source data and information but also the knowledge or enriched information of the enterprise.

This thesis addresses this challenge through a real-life case study within a complex state government enterprise. In this thesis we develop and validate a conceptual framework for decision making based on the characterization of an enterprise as an ‘Adaptive Complex Enterprise’(ACE). This framework addresses existing limitations by considering all the dimensions in an enterprise, viz. Business, Infrastructure, Operations, and Strategy. This framework introduces a Requirements-Execution-Delivery (RED) model to characterize the transactions in an ACE. Click here for poster

Student: Praveen Nagarajan

Sponsored by The Ohio Department of Job and Family Services

Document Actions
« September 2017 »
September
MoTuWeThFrSaSu
123
45678910
11121314151617
18192021222324
252627282930