Big Data-Problem Statement and Plan of Integration - IT Assignment Help

Assignment Task

Big Data—Problem Statement and Plan of Integration
Emerging trends in big data integration can be described in two areas. The first is doing with big data. Organizations are beginning to realize the true benefits of big data analytics and how this information can be used to improve the decision-making cycle of the organization. Most organizations gather a huge amount of data at fast speeds. Continuing to understand how to integrate big data into the daily decisions at the organization will help to have real-time data for more accurate decisions.

The second area is studying with big data. At different times within the organization's fiscal year, they need to take the time to review the data and the value of the data that has been collected. Studying the big data integration process can allow the organization to find problem areas and where improvements could be made. Through these changes, the organization can use big data analytics to employ greater levels of information to the decision-makers.

There has been enough research and practice conducted for organizations to know the importance of big data and implementing big data into their organizations. There is also a lot of information on privacy and securing the data. However, the overlap between the two remains largely unbridged.

Companies need to be sure that systems are integrated, new data are generated as a result, and that privacy is protected while data are anonymously collected and stored. Big data allows organizations to become more effective by using the analytics and becoming more productive through their decision-making. With all of the positives of big data, it is important to know that the road to integration can be time-consuming and costly. There is a significant investment in time and management commitment to ensuring the integration process is a success. The first place for all organizations to start with is to develop a plan. Organizations need to take the time to provide a written plan that includes how to use the data, what analytics will be used, and how the data will be used to create value for the organization. The plan will help the organizational leaders to know where the greatest returns will come from in terms of data sources and also the plan for getting started.

The data and the data-analytic plan will allow the organization to learn how they will use the data and harness the capabilities of what the data will provide for the organization. To get started in the planning process, organizations need to begin by selecting the internal and external data that they need to integrate into the organization. In addition, the organizations will need to choose the analytical models and tools that will be used to analyze the big data. Finally, the organization will determine the big data that is necessary to help the organization reach its long-term goals. The plan will consist of three main elements.

The first is data. The plan will determine how the data will be assembled and how the data are integrated into the organization. Making the data useful for the long-term is important for the organization and its success with the strategic plan.

Assignment
Assume you are hired as a consultant for a company looking to implement data mining and data collection on consumers using best practices for privacy. Your task this week is to examine the phases of integrating big data into the organization and using big data analytics.

Identify the strengths and weaknesses of the big data plan. Discuss the advantages that the collection of big data would have for this organization. Analyze the topic and describe the phases you would recommend to a business for implementation. What key questions would you need your client to answer before you are able to complete a fully analyzed plan? How will big data analytics be used by the organization? What challenges will be faced by the organization based on the research that you have conducted? Provide suggestions for integration of big data into the decision-making process.

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