AISystem is a multinational company that provides important services of a social nature to her customers. From the technology perspective, the organization can be considered as a late adopter of innovations and characterized by relative underinvestment in IT, which has certain implications for both its IT landscape and respective management practices. On the one hand, AISystem’s IT landscape is very heterogeneous and includes many legacy information systems and technologies some of which have been in use for decades. AISystem’s IT-related management practices are also rather archaic. For instance, the relationships between business and IT leaders in the organization exhibit evident signs of “us and them” mentality, while new investments in IT are viewed by business mostly to reduce costs of the existing operations. AISystem has a centralized IT department headed by the CIO and responsible for developing and supporting information systems for all its business units. The IT department employs around 240 specialists and consists of three main functions: architecture, development, and service. The architecture function includes a few architects focused predominantly on specific IT solutions. AISystem previously tried to uplift the maturity of its EA practice and extend the scope of architectural planning beyond separate initiatives, but these attempts failed due to misalignment of its business and IT; therefore the respective architects had been made redundant. In 2021, the CIO decided to undertake another deliberate effort to evolve AISystem’s EA practice with the involvement of external consultants at Accenture. For this purpose, the organization engaged a rather well-known EA consultancy (Accenture) to help initiate a full-fledged EA practice. The consultancy at Accenture formed a project team consisting of four architects specialized in different subject areas. This consulting team acted according to a detailed engagement plan agreed with AISystem’s senior IT leadership. The plan stipulated in which sequence and when exactly various EA artifacts will be produced. In total, consultants worked for 4-7 months, analyzed the organization, interviewed numerous stakeholders, and developed all the EA artifacts specified in the plan. Specifically, they started from analyzing AISystem in terms of current and desired maturity of its business capabilities and mapped existing applications to respective capabilities. Then, they captured all relevant data entities, documented all technologies used in the organization, depicted current and defined target application portfolios and created more detailed CRUD (create, read, update and delete) relationship matrices.


Discuss 4 types of IT initiatives that you have considered very important to AISystem’s EA practice.( minimum 600 words required)

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