Answer To: HOLMES INSTITUTE FACULTY OF HIGHER EDUCATION UNDERGRADUATE PROGRAM HI6037 Fundamentals of Business...
Abhishek answered on Aug 19 2021
HI6037
FUNDAMENTAL OF BUSINESS ANALYTICS
INDIVIDUAL ASSIGNMENT
ASSESSMENT 3: RESEARCH PAPER
TOPIC: IMPLICATIONS OF PREDICTIVE ANALYTICS & REPORTING IN BUSINESS ANALYTICS
Table of Contents
Introduction 4
Discussion 4
Source 1: 4
Reference 4
Critical Analysis 4
Reflection 4
Source 2: 5
Reference 5
Critical Analysis 5
Reflection 5
Source 3: 6
Reference 6
Critical Analysis 6
Reflection 6
Source 4: 7
Reference 7
Critical Analysis 7
Reflection 7
Source 5: 8
Reference 8
Critical Analysis 8
Reflection 8
Source 6: 9
Reference 9
Critical Analysis 9
Reflection 9
Source 7: 9
Reference 9
Critical Analysis 10
Reflection 10
Source 8: 10
Reference 10
Critical Analysis 10
Reflection 11
Source 9: 11
Reference 11
Critical Analysis 11
Reflection 12
Source 10: 12
Reference 12
Critical Analysis 12
Reflection 12
Conclusion 13
References 15
Introduction
The purpose of the report is to understand how the organisation performance gets affected by information technology and the capability of the HRM through big data predictive analytics.
Discussion
Source 1:
Reference
Mishra, D., Luo, Z., Hazen, B., Hassini, E. & Foropon, C. 2019, "Organizational capabilities that enable big data and predictive analytics diffusion and organizational performance: A resource-based perspective", Management Decision, vol. 57, no. 8, pp. 1734-1755. Available at: https://www.proquest.com/docview/2293573742/fulltextPDF/5B5C9072EE7D45B5PQ/1?accountid=30552
Critical Analysis
The study has been consistent with the prior research in this aspect. The lower order capacities like IT deployment and the HR system can help develop high order capacity that is big data predictive analysis diffusion. Only limited types of organisational capacity have been focused on and other types were not covered in this study. The impact on the supply chain aspect has not been discussed in this article.
Reflection
In business, the impact of predictive analysis has been discussed, which can be able to provide its direct and indirect impact on organisational performance. Two aspects of organisational capacity have been represented that affect the performance of the organisation.
Through the facilitation of BDPA, the impact of IT and HR on the organisation's performance has been clearly defined where IT is proportionately linked with BDPA diffusion, which helps in better decision making by the prediction regarding the future demand in case of uncertainty. In addition, BDPA leads to better organisational performance through better HR capacity development.
Source 2:
Reference
Jeble, S., Kumari, S., Venkatesh, V.G. & Singh, M. 2020, "Influence of big data and predictive analytics and social capital on performance of humanitarian supply chain: Developing framework and future research directions", Benchmarking, vol. 27, no. 2, pp. 606-633. Available at: https://www.proquest.com/docview/2534584175/fulltextPDF/24FF6AB9ABF84DA8PQ/1?accountid=30552
Critical Analysis
The paper has been formed for investigation of how humanitarian supply chain (HSC) performance is dependent on the social capital and predictive analytics while exploring various frameworks of HSC utilised by organisations and providing a future direction for further research.
The study has successfully identified the role of BDPA and social capital in the humanitarian supply chain, which can be useful in the case of natural calamities. However, the study could not shed light on empirical validation, as it has only been able to develop the conceptual framework.
Reflection
The paper is very effective in the formation of a concept, which links the two themes, social capital and BDPA, in case of the performance of the HSC that can be done for the better functioning, which can help in better humanitarian operations and a fast process of life-saving. This will also be able to provide better transparency to the donors and the stakeholders regarding the organisational operations. This study has been beneficial for humanitarian organisations working on disaster management by building social capital networks.
While BDPA is combined worth the social capital, then a better HSC result can be obtained as BDPA improves the efficiency of humanitarian goals achievement. Social capital is a country like people with each other for the development of a network, which can be useful in case of managing disasters.
Source 3:
Reference
Kolomvatsos, K. & Anagnostopoulos, C. 2017, "Reinforcement Learning for Predictive Analytics in Smart Cities", Informatics, vol. 4, no. 3, p. 16. Available at: https://www.proquest.com/docview/1952108115/fulltextPDF/E477783BB54647FBPQ/1?accountid=30552
Critical Analysis
This research aims to develop the concept of query controller receiving the enquiry from the analytics and placing them in a processor in the data partition. The study has aimed to discuss the process of query management and machine learning through clustering and reinforcement learning.
The combination of the two schemes and the comparison will be done to provide a mathematical formula for simulation results. The advantages of the models and the results will be discussed by comparing the framework for focusing on reinforcement learning for predictive analytics in smart cities.
The article successfully provided the models, combined the outcomes and defined an adaptive learning model that can reduce the time of training, which can lead to initiating multiple schemes without hindering the performance outcome. Furthermore, the schemes are able to bring out decisions from a particular perspective where it provides the opportunity for further insight into the query process.
Reflection
The article has focused on the shift of data management and data products in this era of digitalisation. Huge volumes of data are being developed by various models. This article provided two models: clustering and the reinforcement model for data handling and management.
Smart governance of the smart cities that have been developed, in this article, the basis for intelligent application building to enhance that process has been described. Query control and query processor are the modules for handling the queries. Two schemes have been provided and one of them is based on clustering while the other is based on reinforcement learning.
Source 4:
Reference
Calixto, N. & Ferreira, J. 2020, "Salespeople Performance Evaluation with Predictive Analytics in B2B", Applied Sciences, vol. 10, no. 11, p. 4036. Available at: https://www.proquest.com/docview/2413778857/fulltextPDF/C1D251B7C52046DCPQ/1?accountid=30552
Critical Analysis
Measuring the performance level of the salespeople in the business is a tedious job and is time-consuming at the same time. The present article has stated the development of a model, which might be helpful in the performance measurement of salespeople in organisations. For this purpose, the authors have collected data from 594 salespeople to evaluate their performance appraisal. This model is efficient in producing the guidelines that can be practically followed by HR for the automation of the...