As More Data Are Collected, Stored, And Processed

As More And More Data Are Collected Stored Processed And Disseminat

As more and more data are collected, stored, processed, and disseminated by organizations, new and innovative ways to manage them must be developed. Discuss how the data resource management methods of today will need to evolve as more types of data emerge. Why is the role of a data steward considered innovative? Explain. Discussion continued: When it comes to telecommunication network installation and management, as a business manager, you have to make a crucial decision to choose between hiring an expert to do the work or do it yourself. Which choice is better, and why? What criteria should be considered in making that decision? Only looking for around 300 words.

Paper For Above instruction

The exponential growth of data in the modern era necessitates a significant evolution in data resource management methods. As data types diversify—from structured databases to unstructured data such as videos, social media content, IoT sensor data, and more—traditional management approaches must adapt to handle the complexity and volume effectively. Contemporary data management techniques are increasingly reliant on advanced technologies such as big data platforms, cloud computing, artificial intelligence (AI), and machine learning (ML) to handle the influx of varied data types seamlessly. These technologies facilitate real-time processing, automated data cleaning, and intelligent data categorization, fostering more efficient decision-making processes (Chen et al., 2020). As data sources and formats multiply, so too must the frameworks that govern their storage, security, and usability evolve, emphasizing scalability and flexibility.

The role of a data steward is considered innovative because it centralizes responsibility for data quality, compliance, and security within an organization. Unlike traditional data management roles that often focus on technical tasks, data stewards serve as advocates for data governance, ensuring data integrity and consistency across departments. They act as facilitators, bridging the gap between IT professionals and business stakeholders, thereby fostering a culture of responsible data usage (Khatri & Brown, 2010). This role is vital in maintaining data standards in an era where data is a strategic asset, enabling organizations to leverage information effectively for competitive advantage.

In telecommunications network installation and management, the decision to hire an expert versus doing it yourself hinges on multiple criteria. Hiring an expert is preferable when specialized knowledge, experience, and technical proficiency are required to ensure efficient, compliant, and reliable network setup. An expert can also save time and reduce errors that could lead to costly downtime. Conversely, a do-it-yourself approach might be suitable for smaller projects or organizations with internal technical expertise, offering cost savings and greater control over the process. The decision should consider criteria such as the complexity of the installation, available personnel skills, budget constraints, time sensitivity, and the importance of network reliability (Zhao et al., 2019). Ultimately, the choice depends on balancing the organization’s immediate needs with strategic long-term goals.

References

• Chen, M., Mao, S., & Liu, Y. (2020). Big Data: A Survey. Mobile Networks and Applications, 25(3), 671–689.
• Khatri, V., & Brown, C. V. (2010). Designing Data Governance. Communications of the ACM, 53(1), 148–152.
• Zhao, X., Zhang, Y., & Wang, Q. (2019). Decision-Making Strategies in Telecommunication Network Deployment. Journal of Network and Computer Applications, 132, 84–94.