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Big Data Analytics Assignment

Question

Task:Worldwide Influence of Big Data Analytics on the Business Priorities and Decision-making
Big Data analytics has entirely transformed the approaches as well as modes of the recent business scenarios and this particular concept is simply comprised of four important attributes such as value, velocity, volume as well as variety (Chen, Chiang and Storey 2012). This particular area of research can also result in the useful insights that in turn would aid the better strategic decisions in relation to the businesses. The concept of the big data analytics has risen beyond the storage of numerous information and it has also made the use of the analytical methods iterative along with the ongoing trends of marketplaces in the world of the mobile applications (LaValle er al., 2011). For an instance, businesses in today’s world are capable of analyzing the information on an immediate basis along with the speed of in-memory and Hadoop analytics combined with the capability of analyzing the new data sources (Demirkan and Delen 2013). Therefore, at today’s date, the organizations all over the globe are significantly utilizing the Big Data in driving the decisions of businesses as well as enhancing and improvising the ROI and the performances of the businesses (Chen, Chiang and Storey 2012). Big Data Analytics is a widely accepted or considered topic in the course and the profession of the engineering management as it has been turned into an impressive innovation in the engineering ground because it deals with offering numerous new ways of several technology integration.

Important Research Question
How does Big Data Analytics influence the business decision-making and business priorities as well?
Independent Variable - Big Data Analytics
Dependent Variables - Decision-making and Business Priorities

Clarity on the Question
Big Data Analytics deals with helping the companies in harnessing their data as well as utilizing it for identifying the new scopes, which in turn can result in the smarter moves of businesses, happier consumers, higher profits as well as the more efficient business operations (LaValle er al., 2011). Thus, such capability of working faster and staying agile can five the companies a competitive edge that they did not have before (Chen, Chiang and Storey 2012). Therefore, in order to make successful the application of the Big Data Analytics in the business operations of companies, it is very important to analyze the question mentioned above.

Answer

Introduction: Big data analysis is a term that is applied to a set of data that is beyond the preview of traditional database. It is used to store data in bulk thereby making way for management of data in a systematic manner. Organizations operating should go for management of data that would be helpful for future projection and implementation. It is important to note that data storage is a cumbersome procedure so should be stored in a definite chamber. Big data provides the platform wherein storage is made easy and exquisite. In fact with the inclusion of big data storage development in the field of decision making can be seen as it helps in understanding the present scenario from the consolidated stock and helps in delivering in a spontaneous manner. In this data analysis assignment we have strictly followed the format given in marking rubrics to cover in helping the student to cover all the deliverables in the assignment. Using the format given below will help you in drafting the data analysis assignment in a descent way.

Aims and objectives:The aim of this data analysis assignment is to define the possibilities that can be undertaken in the storage of data thereby making way for production in bulk for the welfare of the organization. In fact with the inclusion of this concept initiation can be seen in the development of storage capacity. Understanding the requirements of the consumers is of utmost importance thereby delivering taking into account the possibilities of productive development is always at hands (Gandomi & Haider, 2015).

Objectives:The objectives of this data analysis assignment is to

  • Provide the platform wherein bulk quantity of data can be stored thereby making way for introduction of more inputs
  • Provide the platform wherein product kept at stock can be provided to usage t any point of time.
  • Emphasize on team performance in building a coherent atmosphere in delivering output.
  • Employment of personnel in keeping records in delivering and maintaining data in the most comprehensive manner

Research Question: How does Big Data help in decision making for the organization?
How convenient it is for the organizational personnel in maintaining data in bulk at a single point of time without any difficulty?
How the concept of Big Data would be useful in future possibilities for an organization?

Literature Review: Big data analytics is one of the most developed and advanced means in maintaining forum for management of resources. It would help in building momentum for the organization. It would help in delivering in the most comprehensive manner. It would help in redefining concepts of progressive development. It acts as the forum that would help in understanding tastes and the preferences of the consumer of the consumers thereby act in conformity to it. It is important to note development is possible when there is the amalgamation of top authorities along with the technological experts, administrative experts, quality control experts, administrative experts so and so forth. In fact with the amalgamation of different departments inclusion of productive results can be seen at the outset. Big data is driving the corporate world by storm. It has helps in breaking barriers thereby making way for exclusive performance for the growth and development of the organization at large (García et al., 2016).

Management has improved on a significant manner. It has led to outclass probabilities and thereby turn them into possibilities in the organizational forum. In fact with the inclusion of probabilities development can be seen in the functioning at a rapid pace. Analysing information of the organization has been helpful and convenient thereby making way for progressive development in the performance of the organization. Big Data is the cluster of numerous information that is helpful and conclusive in providing the platform for all round development of the organization in the long run. In fact, with the inclusion of probabilities deliberate attempts have been made by personnel to improve the quality of insight in the functioning of the organization (Assunção et al., 2015).

In the most comprehensive ground, there is scope for all round development once functioning is being undertaken for the betterment of the organization. Onset of probabilities along with possibilities can help in diversifying performance of the organization in the long run. Big data acts as the warehouse that would help in maintaining data that would be used by the organizations in the functioning of the organization in the long run. It is the platform of numerous technology integration. Decision making of the business is being developed and enhancement can be seen in the functioning of the organization .In fact with the adaptation of the decision making future prospects can be developed in the most comprehensive manner. It has comprehensively changed the concept of data storage thereby making way for all round development in the delivaration of performance of the organization. Big Data is one of the conclusive and the most promising aspect in the professional world (Rajaraman, 2016). It has led to conceptualize on the propositions related to the functioning of an organization. In fact with the advent of technology need of the hour has been towards productive development rather than inclined towards promulgation of uncertainties.

In the recent context development is possible through the application of resources that would be helpful in the functioning of an organizational forum. In fact with the inclusion of propositions regarding the functioning of an organization it is important on the part of the officials in deliberately inclined towards development that would help in building a platform that would be helpful in maintaining momentum for future growth of the organization. A definite framework that would help in maintaining, should structure, inclusion of swiftness on the part of the development is necessary in this regime (Hu et al., 2014). Moreover, application of development would help in igniting a forum that would be effective in the development of the organization in the long run.

Data analysis: Data analysis is one of the most important and decisive aspect in the functioning of an management forum. In fact with the inclusion of data analysis one can understand the dimensions of big data thereby can make way for all round development in the undertaking of the same (Hashem et al., 2015). In this context there would be undertaking of qualitative analysis that would help in understanding the pros and cons of the management scenario. Development is possible by the application of resources in the functioning of an organizational forum. In the context of Big Data one might question on the implementation of data and its necessity. Qualitative data has been one of the most important aspects in redefining the propositions of research. It helps in demonstrating the consumer insights thereby making way for understanding the propositions in the long run. Generating consumer insights is the tedious task and most importantly implicit on the part of the developers of management in delivering in the most comprehensive manner (Chen et al., 2014).

Online research helps in understanding the expressions and the opinions of the people that are being asked regarding the particular prospect in this regard. In fact with the application of data analysis it is important to note that development seeks a hike once deliberations are the need of the hour. In fact with the application of development it is necessary to review the propositions in the functioning of management of an organization. It is a challenging proposition on the part of the operators and the expert officials in delivering in the functioning of the management. Deliberate attempt can be made on the part of the execution of the policies of the management thereby making way for all round development for the organization. In fact, taking a note of the records that has been used in the functioning of an organizational forum. Development measures should be undertaken by the management that would help in delivering in the most comprehensive manner. It would lead to deliberations in the functioning of the management as a whole. It is important to note that going for records thereby understanding the scenario is important as would help in improving the quality and prospect of the project (John Walker, 2014).

Big Data is blessing in disguise. It is imperative on the part of the officials in delivering in the most comprehensive manner. In fact there has to be recording of minutes that would help in maintaining records in the functioning of the management as a whole. In order to incite development it is imperative on the part of the management to act in forum thereby making way for productive means that would help in decision making of the organization as a whole. It is important in this context to deliver according to the propositions thereby making way for absolute development in the long run .In order to inculcate this training and development is necessary on the part of the officials in making way for alternatives that would help in maintaining forum for the management of the organization. Collection of data has to be in the integration mode thereby making way for transition time and again. Ineffectiveness has to be eliminated thereby making way for outreach that would be helpful in making propositions for development in the significant manner. In order to incorporate development review management has to be undertaken by the management time and again in order to incorporate development in the long run.

Research can be undertaken by the application of online medium thereby making way for all round development. Analytical tools should be used that would help in transition in the functioning of an organizational forum. In fact with the application of automation in the functioning of an organizational forum it is important to note that development would led to development in the long run. Needs and wants seems to be increasing accordingly. It has led to maintaining big data that would help in meeting the needs of the consumers thereby making way for enhancement in the customer base of the organization. It helps in escalation in yielding positive results for the functioning of the management thereby making inroads for all round development of the organization time and again. Communication plays an important role in the up gradation in the functioning of the organization. In order to incorporate effectiveness in the functioning of the management there has to be incorporation in the functioning of the management making inroads for productive development on a simultaneous basis (Kambatla et al., 2014).

Transition is the need of the hour therefore should be incorporated with the inroads of corporate simulation. Corporate culture should be maintained during the course of proceedings of the management, which is possible in the functioning of the management. In order to incorporate development it is necessary to inculcate transition in the functioning of the management thereby making inroads for effective development in the functioning of the organization in the significant manner. In order to incorporate development it is necessary to go for effective implementation of policies thereby making way for effective results (Talia, 2013).

Gantt chart

Activity

Week 1

Week 2

Week 3

Week 4

Selection of research topic

 

 

 

 

Estimation of problem statement

 

 

 

 

Review of conceptual framework

 

 

 

 

Secondary data collection

 

 

 

 

Primary data collection

 

 

 

 

Data analysis

 

 

 

 

Discussion on the findings

 

 

 

 

Final formatting and submission

 

 

 

 

Conclusion: From the above evaluation in this data analysis assignment, it can be ascertained that functioning of big data is important to reconcile with the functioning of the management. In order to inculcate this training and development is necessary on the part of the officials in making way for alternatives that would help in maintaining forum for the management of the organization. Collection of data has to be in the integration mode thereby making way for transition time and again. Ineffectiveness has to be eliminated thereby making way for outreach that would be helpful in making propositions for development in the significant manner. In order to incorporate development review management has to be undertaken by the management time and again in order to incorporate development.

Reference
Assunção, M. D., Calheiros, R. N., Bianchi, S., Netto, M. A., & Buyya, R. (2015). Big Data computing and clouds: Trends and future directions. Journal of Parallel and Distributed Computing, 79, 3-15.

Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile networks and applications, 19(2), 171-209.

Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144.

García, S., Ramírez-Gallego, S., Luengo, J., Benítez, J. M., & Herrera, F. (2016). Big data preprocessing: methods and prospects. Big Data Analytics, 1(1), 9.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.

Hu, H., Wen, Y., Chua, T. S., & Li, X. (2014). Toward scalable systems for big data analytics: A technology tutorial. IEEE access, 2, 652-687.

John Walker, S. (2014). Big data: A revolution that will transform how we live, work, and think.

Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014). Trends in big data analytics. Journal of Parallel and Distributed Computing, 74(7), 2561-2573.

Rajaraman, V. (2016). Big data analytics. Resonance, 21(8), 695-716.

Talia, D. (2013). Clouds for scalable big data analytics. Computer, 46(5), 98-101.

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