COIT20253 Business Intelligence Using Big Data : Innovation Capabiliti
Task 1. Data Collection and Storage
Data collection system (what kind of data should be collected and how)
Storage system (what are the requirements to the storage and how to achieve them)
Task 2. Data in Action
Consumer-centric product design (what is it and how to do it)
Recommendation system (what is it and how to do it)
Task 3. Business continuity
How online business can survive in case of power outage or other disasters?
Answer:
Introduction
As opined by Schoenherr and Speier (2015), the big data technology is one of the most useful technologies that had been shaping the modern world into smart operational and functioning generation. The use of the big data had been improved due to advent of technology and functioning of the organizations. The big data analytics had been broadly shaped for the improvement of the existing facilities and deployment of the improved processes for the organizational development. The development of the operations would provide the role for the improvement of the existing operations and development of the effective facilities (Hazen et al. 2014). The smart deployment of the big data analytics had formed the improvement of the operations and functions in various business organizations.
The following report had been made for the realization of the importance of big data analytics and formation of the improved services in the organization. The role played in the improvement of the functions of the organization by the technological advancement would be critically evaluated and a report would be formed. The mining of huge amount of data had been successfully improved by the use of the effective technology development. The topic selected for the discussion is the “Big Data for Supply chain and operation management” and it allows the evaluation of the operations for forming the sufficient development of the organization.
Task 1: Data Collection and Storage
Christopher (2016) has stated that the data collection can be defined as the functioning system of the operations that could form the cumulative storage of the data and information. The aggregation of the existing facilities would form the evaluation of the improved processes to define the operational development of the organization. The improvement of the operations would allow the deployment of the active connection for the organization. The big data had been playing a considerable role in the deployment of the existing operations. The collection of the data is of 3 types in supply chain management,
Financial Data: As stated by Chae (2015), it is the most basic information type whose data is collected in the business organization. The financial operations are the primary development factor for the supply chain management. The financial data are being utilized for influencing most of the decisions of the organization. The financial data are collected for the deployment of the most of the operations and it also helps in taking immediate decisions for the organization. The database is made for conveniently storing the huge amount of the data related to the financial operations. The budgetary operations are the essential improvement factor for the store network administration. The monetary information is being used for impacting the majority of the choices of the association. The money related information are gathered for the sending of the greater part of the operations and it additionally helps in taking prompt choices for the association (Christopher 2016). The database is made for helpfully putting away the enormous measure of the information identified with the budgetary operations.
Customer and Marketing related data: Prominent authors like Tan et al. (2015), have explained that the data and information related to the customers are being collected for ensuring the delivery of the services and goods to the customers. The data like address, personal details, and choice of services would help the supply chain management for providing their customers with effective services. The development of the supply chain management is also result of the utilization of the marketing data accumulated over time. The use of the marketing related data would ensure that the organization had promoted their services on a larger scale. The information and data identified with the clients are being gathered for guaranteeing the conveyance of the administrations and merchandise to the clients. The information like address, individual subtle elements, and selection of administrations would enable the supply to chain administration for giving their clients compelling administrations (Agrahri et al. 2017). The improvement of the store network administration is likewise consequence of the usage of the showcasing information gathered after some time. The utilization of the advertising related information would guarantee that the association had advanced their administrations on a bigger scale.
Operational Data: According to Kwon, Lee and Shin (2014), the operational data are also collected for the deployment of the improved processes in the organization. The operational data is formed for the identification of the increased efficiency and deployment of the operations in the organization. The data collection is modified for the deployment of the enhanced operations. The organization had been supporting the improved planning and organizing the functions. The data and information related to the organizational operations are being stored for forming future development plans and operations. The operational information are additionally gathered for the arrangement of the enhanced procedures in the association. Agrahri et al. (2017) have pointed that the operational information is shaped for the recognizable proof of the expanded productivity and sending of the operations in the association. The information accumulation is adjusted for the arrangement of the upgraded operations. The association had been supporting the enhanced arranging and sorting out the capacities. The information and data identified with the hierarchical operations are being put away to form future improvement designs and operations.
1.2 Storage System
According to Demirkan and Delen (2013), the storage system had seen the growth and expansion of the space with the development of the technology. The deployment of the effective storage system is done for the modification of the existing facilities to evoke a new function of the organizational development. The storage system had been growing ever since its foundation. The multiversity organizational development would comprise of the use of the effective storage system. The modern day storage systems are required to be scalable and accessible in nature. The use of the effective storage system would involve the development of the effective deployment models for ensuring the change of operations along with the data and information used. The capacity framework had seen the development and extension of the space with the improvement of the innovation. The sending of the compelling stockpiling framework is accomplished for the alteration of the current offices to inspire another capacity of the hierarchical advancement. The capacity framework had been developing as far back as its establishment (Papadopoulos et al. 2017). The multiversity authoritative improvement would include the utilization of the powerful stockpiling framework. The cutting edge stockpiling frameworks are required to be adaptable and available in nature. The utilization of the successful information processing would include the advancement of the viable organization models for guaranteeing the change of operations alongside the information and data utilized.
The big data analytics require huge amount of storage system that cannot be achieved without deploying the combined storage systems. According to Lu et al. (2013), the inbuilt primary storage (hard drive) would serve the basic storage system for the improvement of the operations of the organization. However, the primary memory would not be able to support the scalable feature of big data analytics. The use of cloud computing would form the development of the improved functions in the organization. There are several improved functional operations that could be followed for the involvement of the functional development and operation. The logistics and improvement of the storage system can be achieved by the use of the cloud computing system. The strengthening of the improved processes would be resulted by the deployment of the hybrid cloud and primary storage system. The big data analytics requires vast measure of capacity framework that can't be accomplished without sending the joined stockpiling frameworks. As indicated by Papadopoulos et al. (2017), the inbuilt essential stockpiling (hard drive) would serve the primary storage system for the change of the operations of the association. Be that as it may, the essential memory would not have the capacity to help the adaptable component of enormous information investigation. The utilization of distributed computing would frame the advancement of the enhanced capacities in the association. There are a few enhanced utilitarian operations that could be taken after for the contribution of the useful advancement and operation. The coordination and change of the capacity framework can be accomplished by the utilization of the distributed computing framework. The fortifying of the enhanced procedures would be come about by the organization of the hybrid cloud and primary storage system.
Task 2: Data in Action
The consumer centric product design is very helpful for the development of the appropriate product for the customers (Ng et al. 2015). The supply chain management organizations can utilize the consumer centric product design for integrating their information system and forming the accurate deployment of the business operations. The consumer centric product design would serve the purpose of the improved processes. The components required for the integration of the consumer centric product design and the operations of the supply chain management. The management of the operations would imply the effective development of the operations in the organization (Arenas et al. 2015). The deployment of the effective change management would imply the modification of the operations and it would form the deployment of the system integration activities. The operations of the organization would form the correct deployment of the organizational processing. The consumer experience is formed for the integration of the operations and it would involve the modification of the processes. The consumer centric product design is implied for the development of the operations and implication of the operations. According to Da, He and Li (2014), the product design is implied for the integration of the consumer eccentric data and operations. The experienced and consumer focused relationships are developed for the front line empowerment of the organizational functions. The big data analytics assist in the modification of the existing facilities and form the integral part of the operations. The big data analytics is formed for deploying the effective control strategy of the organization. The big data analytics configuration is exceptionally useful for the improvement of the fitting item for the clients (Ng et al. 2015). The inventory network administration associations for the big data analytics can use the customer driven item outline for incorporating their data framework and shaping the precise organization of the business operations. The purchaser driven item configuration would fill the need of the enhanced procedures. The segments required for the coordination of the buyer driven item plan and the operations of the production network administration. The administration of the operations would gather the powerful advancement of the operations in the association. The sending of the viable change administration would suggest the alteration of the operations and it would shape the organization of the framework incorporation exercises. The operations of the association would shape the right arrangement of the hierarchical handling. The purchaser encounter is framed for the incorporation of the operations and it would include the alteration of the procedures. The purchaser driven item configuration is inferred for the improvement of the operations and ramifications of the operations of big data analytics. As indicated by Da, He and Li (2014), the item configuration is inferred for the reconciliation of the buyer unpredictable information and operations. The accomplished and buyer centered connections are created for the cutting edge strengthening of the hierarchical capacities (Arenas et al. 2015). The huge information investigation aids the adjustment of the current offices and frames the indispensable piece of the operations. The huge information examination is shaped for sending the powerful control technique of the association.
2.2 Recommendation System
The existing system for the supply chain management organization had been deprived of the use of the advanced processes (Sahebjamnia, Torabi and Mansouri 2015). The organization operation had been sluggish and it had formed the formation of the issues in the operational development of the organization. The multiversity organizational development would comprise of the use of the effective storage system. The modern day storage systems are required to be scalable and accessible in nature. The use of the effective storage system would involve the development of the effective deployment models for ensuring the change of operations along with the data and information used. The use of the cloud system is a must for improving the storage system in the organization. As stated by Ellison (2014), the utilization of MongoDB, Hadoop and Cloudera would help the supply chain management organizations for forming an integral development of the operations. The application of such cloud network would improve the functions of the organization and it would realize the involvement of the existing facilities. The use of cloud computing would form the development of the improved functions in the organization. There are several improved functional operations that could be followed for the involvement of the functional development and operation (Ellison 2014). The logistics and improvement of the storage system can be achieved by the use of the cloud computing system. The strengthening of the improved processes would be resulted by the deployment of the hybrid cloud and primary storage system. The big data analytics requires vast measure of capacity framework that can't be accomplished without sending the joined stockpiling frameworks (Xing and Zio 2016). The use of the big data analytics would be helpful for the deployment of the improved processes in the organization. The handling of the storage and integrating the operations would form the improvement of the operational development.
Task-3: Business Continuity
Podaras, Antlova and Motejlek (2016) have defined business continuity as the development of the business organization and continuing the impact of the operations for forming the integrated operations. The success implication of the business organization had been largely influenced for the involvement of the operational development and it would form the plan for influencing the operations of the organization. The success management and the influential development of the business operations are being measured by the use of the business continuity.
3.1 Survival of online business in case of power outrage and other disasters
The big data analytics had been broadly shaped for the improvement of the existing facilities and deployment of the improved processes for the organizational development. The development of the operations would provide the role for the improvement of the existing operations and development of the effective facilities The improvement of the supply chain management organization can be done by following the steps mentioned below in the table,
|
Steps |
Description |
|
Process selection |
It is distinguished that in view of the item and additionally benefit necessity of the customers, fitting model must be chosen. Determination and in addition execution of exact strategy helps in producing the extension for consistent change. |
|
Process evaluation and standardization |
It is particularly imperative to choose the most precise methodology for executing them in this present reality. It is distinguished that huge information instruments are the most proper devices that must be connected for enhancing the enormous information examination due to its security approach, availability control and in addition courses of events. |
|
Improvement of procedure |
The technique that is assessed ought to be executed subsequent to considering all the distinctive parts of change design and in addition security. For enhancing the production network administration, it is very imperative to distinguish the essential issues (Xing and Zio 2016). After that legitimate testing methods and additionally devices must be connected for relieving the preparatory issues. For this particular stage, the lifecycle occasion that is for the most part taken after is known as PDCA cycle. |
Table 1: Steps of improvement of the supply chain management organization
(Source: Podaras, Antlova and Motejlek 2016, pp. 123)
Conclusion
The above report had been made for the acknowledgment of the significance of enormous information investigation and development of the enhanced administrations in the association. The case study chosen for the analysis was the “Big Data for Supply chain and operation management” and it had permitted the assessment of the operations for framing the adequate improvement of the association. It is found that big data analytics plays an important role within the business organization. The utilization of the big information had been enhanced because of coming of innovation and working of the associations. The huge information investigation had been comprehensively moulded for the change of the current offices and arrangement of the enhanced procedures for the authoritative improvement. The advancement of the operations gave the part to the change of the current operations and improvement of the successful offices. The mining of enormous measure of information had been effectively enhanced by the utilization of the powerful innovation advancement. The big data analytics had been broadly shaped for the improvement of the existing facilities and deployment of the improved processes for the organizational development. The development of the operations has being providing the role for the improvement of the existing operations and development of the effective facilities.
Some recommendations for the supply chain management organization have been given below,
Implication of the Cloud Storage: The use of cloud computing would form the development of the improved functions in the organization. There are several improved functional operations that could be followed for the involvement of the functional development and operation. The logistics and improvement of the storage system can be achieved by the use of the cloud computing system. The strengthening of the improved
Application of Business Continuity: The success implication of the business organization had been largely influenced for the involvement of the operational development and it would form the plan for influencing the operations of the organization. The success management and the influential development of the business operations are being measured by the use of the business continuity.
Improvement of Customer Satisfaction: The consumer centric product design is very helpful for the development of the appropriate product for the customers. The deployment of the effective change management would imply the modification of the operations and it would form the deployment of the system integration activities. The operations of the organization would form the correct deployment of the organizational processing. The consumer experience is formed for the integration of the operations and it would involve the modification of the processes.
References
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