Data integration can be a very complex process because it involves the communication of various technologies, platforms, and networks. It can become particularly complex in organizations where sensitive or personal information is used, such as healthcare. Explain how you think data integration is important. Do you see it as a critical element in data analytics? Provide an example to support your thoughts
Discussion: Informatic
Organizations are using data integration technologies in different ways and approaches that benefit them. In particular, healthcare organizations continue to embrace data integration to enhance quality services delivery by reducing possible medication errors and confusion that often arise due to the complexity of data or information. Data integration processes involve the application of unique functionalities that contribute to the general efficiency of the entire system in use (Okemiri et al., 2020). The selected method of data integration entirely depends on the organizational requirements, including the purposes or the use of data. The purpose of this paper is to determine the importance of data integration within an organization.
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Data integration enhances transparent business processes within an organization. In most cases, integrated data provides opportunities for employees and stakeholders to use data in various internal systems the way they want. With the integrated data, decisions regarding business processes and projects can be made conclusively (Wang & Wang, 2020). Data integration also enhances the cleansing and validation of information being applied. In particular, the entire process of data integration reduces duplications, errors, and inconsistencies in the databases. Adhering to the proper data integration strategies can help in making the database more relevant.
With data integration, there is always an increased level of accessibility and greater collaboration within an organization. Teams will be able to access relevant data and make appropriate decisions to ensure success in the operational processes (Anastasov, 2020). Usually, effective collaboration requires among the internal teams with ease. Furthermore, with data integration, projects can be conducted in a more streamlined manner. Data integration is a critical element in data analytics. Data integration ultimately enables the analytics tools to produce actionable insights and business intelligence. For example, with the integration of data, analytics tools can be used to compute data to produce a meaningful conclusion.
References
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Data integration can be a very complex process because it involves the communication of various technologies, platforms, and networks. It can become particularly complex in organizations where sensitive or personal information is used, such as healthcare. Explain how you think data integration is important. Do you see it as a critical element in data analytics? Provide an example to support your thoughts
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Anastasov, T. (2020). Research Paper on Data-Driven Business Models: Why the Asia-Pacific Region Serves as an Example for the Western Companies? How Might they Improve Their Business Models in 5 Years?. International Journal of Trade, Economics, and Finance, 11(6). 10.18178/ijtef.2020.11.6.684
Okemiri, H. A., Rita, A. U., & Isaiah, A. I. (2020). Patient Data Integration: a panacea for effective healthcare. Journal of Computer Science, 16(2), 235-248. 10.3844/jcssp.2020.235.248
Wang, S., & Wang, H. (2020). Big data for small and medium-sized enterprises (SME): a knowledge management model. Journal of Knowledge Management. https://doi.org/10.1108/JKM-02-2020-0081
Data integration can be a very complex process because it involves the communication of various technologies, platforms, and networks. It can become particularly complex in organizations where sensitive or personal information is used, such as healthcare. Explain how you think data integration is important. Do you see it as a critical element in data analytics? Provide an example to support your thoughts