Enterprise Data Modeling and Enterprise Data Services: The Backbone of Modern Business

It is possible to state that business data today can be discussed as one of the greatest organization’s resources along with the digitalization perspective. Organizations nowadays are involved in data collection from the internal and external environment to a great extent and hence the problem of data management arises. Enterprise data modeling and Enterprise data services are subcomponents, which are responsible for structuring and organizing the company’s data appropriately and making them as accessible and usable for the organization as possible. Altogether, they provide a technique to manage the data and help in achieving organizational goals and enhance the decision-making execution.

Enterprise Data Modeling

Business data modeling can be defined as the act of creating documentation of the organization’s structures of data. This includes the determination of the structure of the data in relation to entities, their characteristics, the relationship between entities, and the policy that governs the use of data within the organization. Thus, it is comparable to going through a chart showing how information is processed and shared in one system, and in how this is done in another, or among different offices of the same firm.

The first fundamental business required for enterprise data modeling is centered on the question of consistency and unclarity in the portrayal of data. List of advantages that come with a good data model cannot be over-emphasized; They are; Integrated view of business data which provides a consolidated view of data in the enterprise. This is in fact a global model that covers all the processes related to data operation, including creation of the databases through to carrying out analysis and even production of reports.

As to the advantages, it could be suggested that enterprise data modeling effectively improves the quality of the data in question. Accordingly, Gazendowski and Sondhi in their work Gazendowski & Sondhi (1986) pointed out that through the acclamations of such key planning decisions as definitions and structures of the data, the redundancy along with such inconsistencies can be reduced across an organization's boundaries. This leads to the documentation of quality data that can be used to make good decisions in the organization. Also, the enterprise data modeling also helps in the data integration where organizations desire or have to integrate data originating from different sources and ensure that all the systems are compatible.

Enterprise Data Services

EDS is an abbreviation of enterprise data services and these are the tools and services as will be pointed out in this piece that make enterprise data readily available, accessible and secure to the enterprise. EDS practice is a large field that involves the processes of accessing, organizing, securing, and analyzing data. They are employed to ensure that data is available in the necessary places and at the necessary times to protect the data figure and compliance with the laws and rules that guide such data.

One of the principal service domains that constitute enterprise data services is data integration. The first one is the aggregation of data where one gets data from many places and has it all unified in one place in the form of a dashboard. Thus, there are data silos no longer present, and decision-makers get the intended amount of information regarding the functioning of the business. Consequently, when it comes to the issue of competition, data integration becomes an important factor for the organizations since it has the potential to create competitive advantage to those companies that strive to win; this of course since the organizations will be in a position to make better decisions while formulating their strategies.

Another critical activity that cannot be separated from the enterprise data services is the area of data security. Today, people and companies encounter new problems in the virtual world, and, therefore, valuable information must be protected. To minimize the events of theft, breach and other forms of violation, EDS has adopted secure data encryption techniques, right access and authentication. It assists in preserving the data of the organization secure and in the proper lane of the rules and regulation of the present globe.

Similarly, in EDS, there is a governance of the data where the practices on how to use data in enterprise are created. Data governance covers all the activities that a firm performs on data throughout its life to ensure that it is treated as an asset.

The Integration of EDM and EDS

Enterprise data modeling and enterprise data services both are the same to establish an effective data management system. Data services therefore are the foundation on which enterprise’s detailed data required for operations are developed. It shapes a clear and logical image of the data environments, and therefore, the processes within the data services run smoothly.

In contrast to the above consequence, enterprise data services ensure that data models shall remain operationally effective forever to meet the dynamic business environment. Indeed, this is a fact that brings about the element of dynamics in data strategies for organizations as such organizations undergo growth and expansion. ESD supports this by providing the enterprises with the necessary equipment and processes to change the model of data and services all for supporting innovative approaches to data sources, business processes, and technology improvements.

All in all, enterprise data modeling and enterprise data services facilitate obtaining the most out of the information in organizations. They enable creation of a coherent, timely and exhaustive dataset of company’s information that is accessible to the right people internally. In addition to enhancing the communication between the organization’s departments and divisions, it also assists in business advancement by providing recommendations that would enhance executive decisions.

Conclusion

Enterprise data modeling and enterprise data services are the basic needs of the modern world to face the big and more complex volume of data. They provide the structure and the tools which are required to make data significant to yield results for the business. Therefore, through these investment opportunities there will be security from the complicated business environment that is evident today and create room for organizations to exist in the contemporary markets. As the volume and importance of data grow and penetrate deeper into the organizations, it only means that the system of Enterprise Data Modeling and Enterprise Data services becomes even more vital in charting out the course of business transformation.