Discussions: More Data Are Collected, Stored, And Processed ✓ Solved

Discussionas More And More Data Are Collected Stored Processed And

Discussion: 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?

Sample Paper For Above instruction

As data collection practices proliferate across various sectors, the landscape of data resource management is undergoing a profound transformation. The sheer volume, velocity, and variety of data—commonly referred to as the three Vs of big data—necessitate the evolution of existing management methods to accommodate new types and sources of data. Traditional data management techniques, primarily designed for structured datasets, are increasingly inadequate in handling unstructured, semi-structured, and real-time data streams. Therefore, future methods must embrace advanced technologies such as artificial intelligence (AI), machine learning (ML), and automation to enable dynamic data integration, quality assurance, and security.

One significant emerging trend involves the integration of cloud-based platforms with decentralized data management approaches. Cloud computing offers scalable storage and processing capabilities, vital for handling massive datasets generated by IoT devices, social media, sensors, and multimedia sources. Additionally, blockchain technology is gaining traction for its potential to ensure data integrity, transparency, and access control in a decentralized environment. These innovations pave the way for more agile, secure, and efficient data management frameworks.

The role of a data steward is considered highly innovative because it embodies the shift from traditional, IT-centric data governance to a strategic, organizationally integrated function. A data steward is responsible for overseeing data quality, compliance, and usage policies, ensuring that data assets are reliable and accessible across various departments. This role requires a combination of technical expertise and business acumen, making it intrinsically innovative as it bridges gaps between technical data management and strategic decision-making. Data stewards foster a culture of data literacy and accountability, which is essential in the era of data-driven decision-making, especially with the proliferation of diverse data types and sources.

In the context of telecommunication network installation and management, business managers face a critical decision: whether to hire an external expert or to undertake the task themselves. The better choice hinges on several key criteria. First, the complexity and technical requirements of the installation must be considered. If the task involves sophisticated technology or specialized skills beyond internal capabilities, hiring an experienced expert could result in a more efficient and effective deployment. Second, cost implications must be evaluated; while outsourcing might incur higher immediate expenses, it may reduce long-term costs associated with errors or subpar implementation.

Furthermore, the organization's internal expertise and resources are pivotal factors. If the business possesses skilled personnel and the capacity for training, insourcing might be advantageous to retain control and develop internal expertise. Conversely, if internal capacity is limited, outsourcing can provide access to specialist knowledge and proven best practices. The timeline also plays a role—urgent projects may benefit from external expertise to accelerate deployment.

Ultimately, the decision should be informed by a strategic assessment of these criteria: technical complexity, cost, internal resources, timeline, and risk management. When these factors favor external expertise, hiring specialists ensures that the network installation meets quality standards and future scalability. Conversely, if the organization values internal development and has adequate skills, doing it internally can foster long-term capability growth and cost savings.

In conclusion, as data and technology continue to evolve rapidly, organizations need to adapt their management practices and personnel strategies. The evolution of data resource management methods, the innovative role of data stewards, and strategic decisions in technical implementation are crucial elements that influence organizational success in an increasingly data-driven world.

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