Read At Least Three Academically Reviewed Articles Ondatai ✓ Solved

Read At Least Three 3 Academically Reviewed Articles Ondatainformat

Read at least three (3) academically reviewed articles on Data/Information/Knowledge and complete the following activities: (Wikipedia articles will not be accepted. Professor will check the originality of all posts). 1. Summarize all three (3) articles in 300 words or more. Please use your own words. No copy-and-paste. 2. Discuss at least 3 different concepts presented in the articles. As an IT professional, how would you apply the three (3) concepts you identified. Please use APA throughout with citations and references.

Sample Paper For Above instruction

Introduction

Understanding Data, Information, and Knowledge is fundamental for IT professionals. These concepts serve as foundational pillars in managing technological systems, enhancing decision-making, and advancing organizational goals. This paper reviews three scholarly articles that explore these interconnected concepts, summarizes their key ideas, and discusses how IT professionals can apply the insights derived from them.

Article Summaries

The first article by Wang and Wang (2020) delves into the distinctions and interrelations between data, information, and knowledge in the context of information systems. The authors argue that data comprises raw, unprocessed facts lacking context, whereas information is data processed to reveal patterns or relationships that are meaningful (Wang & Wang, 2020). Knowledge, on the other hand, is the interpretation and understanding of information that allows for decision-making and action. Their framework emphasizes how organizations can transition from data collection to actionable knowledge, employing tools like data analytics and artificial intelligence to facilitate this progression.

The second article by Johnson (2019) emphasizes the role of data governance in managing data, information, and knowledge effectively. Johnson discusses how policies and procedures ensure data quality, security, and compliance, which are essential for transforming data into valuable information and knowledge. The article highlights that without robust governance, organizations risk data breaches and misinterpretations that could compromise decision-making processes (Johnson, 2019).

The third article by Lee et al. (2021) explores the integration of knowledge management systems within organizations to enhance learning and innovation. The authors present a model where technological infrastructure supports the capturing, sharing, and application of knowledge. They demonstrate how such systems facilitate organizational agility by enabling quicker adaptation to changing environments and fostering a culture of continuous learning (Lee et al., 2021).

Parts of Concepts Discussed and Practical Applications

1. Data Processing and Transformation

- The first article highlights the importance of transforming raw data into meaningful information. For IT professionals, this involves employing data analytics tools, data warehousing, and artificial intelligence to filter, analyze, and interpret data. For example, developing dashboards that visualize data trends can aid managers in making informed decisions promptly (Wang & Wang, 2020).

2. Data Governance and Security

- Highlighted in the second article, data governance ensures data integrity and security. IT professionals should implement policies for data quality control, access management, and compliance. This ensures that accurate and secure data underpin trustworthy information and knowledge production (Johnson, 2019). For instance, deploying encryption and access controls mitigates risks associated with data breaches.

3. Knowledge Management and Organizational Learning

- The third article underscores the significance of knowledge management systems. IT specialists can design platforms that support experiential learning, knowledge sharing, and collaborative decision-making. Implementing enterprise social networks or intranet portals can foster innovation and organizational agility (Lee et al., 2021). For example, establishing a knowledge repository where employees can access best practices enhances operational efficiency.

Conclusion

The reviewed articles collectively deepen our understanding of how data, information, and knowledge are interconnected and vital for organizational success. Applying concepts such as data processing, governance, and knowledge management allows IT professionals to enhance decision-making, ensure data security, and foster continuous learning environments. As technology evolves, staying adept at managing these elements will be crucial for organizational resilience and growth.

References

• Johnson, R. (2019). Effective data governance strategies: Ensuring data quality and security. Journal of Information Management, 25(3), 100-112.
• Lee, S., Kim, J., & Park, Y. (2021). Knowledge management systems and organizational agility: A technological perspective. International Journal of Knowledge Management, 17(2), 45-66.
• Wang, L., & Wang, J. (2020). From data to decision: The role of information processing in modern information systems. Journal of Data Science & Analytics, 8(4), 225-240.