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In the traditional enterprise, the EIS is managed through a centralized system with a company’s data residing on a shared and accessible file server on a LAN. The EIS is the management component that enables employees to maintain, manage, and keep the company’s records. This centralized system is the backbone of the enterprise information technology (IT) for the entire organization as employees access the EIS remotely and in the office. This model requires a huge upfront investment in infrastructure, but tends to be an effective platform to centrally manage all aspects of the business.
However, with the growth and transition of the business, businesses are challenged to incorporate a model that is more responsive, agile, and capable of moving with a faster pace in the market. Enterprises are looking to become more agile by moving to a decentralized EIS model where the data is stored and managed separately on remote servers. Technologies like Hadoop, virtualization, AWS, and cloud-based services enable organizations to take advantage of multi-cloud architecture and cloud-native architecture to provide improved flexibility and scalability. This model allows the business to launch operations in the cloud and scale operations as needed.
The psychological and physical aspects of digital transformation are interdependent. The origin of most compliance and data protection issues is typically rooted in a particular software or hardware solution, but this may not be directly related to the user’s end-user needs or the cost of the solution. For instance, consider a compliance issue that was caused by the use of a software tool that is no longer necessary due to technological innovations in an unrelated field, or consider the financial implications of unneeded software licenses.
Regardless of which aspect of digital transformation a particular data stewardship challenge may be associated with, the legal and ethical implications of these efforts are virtually always present. The psychological and physical aspects of digital transformation are typically features of the system, but given the number and scope of digital transformation projects undertaken at the data steward level, they can also be used as indicators of the organization’s commitment to compliance.
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