Describe and define the benefits and limitations of different data infrastructures, storage, information systems, and proper data accessibility?
For any kind of organization, organizational data are very important. Central characteristics of an organization can be captured through organizational data. With the help of information technology, these data can be further analyzed to understand important aspects of an organization, its business process etc. These information in turns help in gaining competitive advantage and overall growth of an organization. (Beynon-Davies, 2013)
Organizational data can be structured or unstructured. Traditional databases are useful for storage of structural data and analysis of the same. However, due to current socio economic changes, huge amount of unstructured data is evolving from various transactions and operations of organizations, social media, ecommerce etc. Most of these data are unstructured in nature. For example, URL, image files etc. but for organizations, analysis of these data can be very helpful to understand the changing market trends and coming future opportunities or understanding risks. Hence, organizations are also interested in storage and analysis of these data. But there are some limitation for storage and analysis of these unstructured and voluminous data. Most of these data are real time data and hard to capture. Also, these data comes from diverse sources, hence it is also difficult to analyze those data. Traditional database management systems are not able to store or process these data that is called big data. So, new technologies are also evolving for big data storage and management. Some of the examples are Hadoop, ETL etc. (Barlow, 2013)
Information systems are also very important for processing of organizational data. As traditional databases are slowly getting replaced by big data management systems. So, new type of information systems are being developed for processing of new kind of organizational data. Information systems based on Data science and knowledge management are example of such new types of information systems for better accessibility to organizational data.
Barlow, M. (2013). The Culture of Big Data. O'Reilly Media, Inc.
Beynon-Davies, P. (2013). Business Information Systems. Palgrave Macmillan.
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