Big Data Analytics Supply Chain Strategy

Running head: BIG DATA ANALYTICS SUPPLY CHAIN STRATEGY
Big data analytics supply chain strategy
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1BIG DATA ANALYTICS SUPPLY CHAIN STRATEGY
Executive Summary
Big data analytics offers several prospects in business transformation. The business players are
considered as new paradigm for offering endless promises in business transformation as well as
operational enhancements. In supply chain management, the instances have captured attention of
monitoring the procedure and help to track the inventory. It is also important for the practitioners
as well as researchers in the financial service along with the marketing sectors in supply chain
management. It is also important for the investigation and has the basics of big data analytics.
The investigations have the ranges of solutions and implementing the process so that big data
analytics solutions have no issues in implementation process. On the contrary, most of the
organizations have expectations from big data analytics in the supply chain management system.
Hence, in pursuing the change it is important to make the process effective across transformation
as well as procurement. In this perspective, it is important to develop taxonomy regarding big
data and supply chain management system. Hence, conducting a research effective for making
proper procedure to deal with supply chain management-system, it has an important role for big
data analytics to implement it and gain competitive benefits. Present study deals with the issues
identified in the existing system and take effective steps for mitigating the issues.

2BIG DATA ANALYTICS SUPPLY CHAIN STRATEGY
Table of Contents
Introduction..........................................................................................................................3
Summary of the real world challenge..................................................................................3
The use of big analytics data in the process of efficiency and responsiveness...................4
Issues identified...................................................................................................................4
Objectives of the Investigation............................................................................................5
Strategy................................................................................................................................5
Strategy for mitigation.........................................................................................................7
Operational plan...................................................................................................................7
Data collection.....................................................................................................................9
Data storage.......................................................................................................................10
Data analysis.....................................................................................................................10
Term 2 (3 months).............................................................................................................10
Term 3 (3 months).............................................................................................................11
Benefits of big data analytics.............................................................................................11
Risks involved...................................................................................................................11
Conclusion.........................................................................................................................12
Appendix............................................................................................................................16

3BIG DATA ANALYTICS SUPPLY CHAIN STRATEGY
Introduction
The paper investigates the research regarding big data analytics research as well as
applications in the field of supply chain management in 2010 and 2016. It also provides specific
insights to the organization. In addition, the current years and the amount of data that are
important for the organizations. In addition, it is important to develop specific process that are
arranged properly. In addition, surveying the new techniques could be helpful to serve the
process and gain competitive benefits. On the other hand, it is important to develop the process
that could assist in making the big data analytics more reliable for this. It is important to develop
new techniques in order to investigate the procedure, capturing as well as organized in order to
provide the procedure that can be helpful in realizing the promising advantages and can assist the
industries.
Summary of the real world challenge
The amount of data that are produced as well as communicated over internet is increasing
in a way positively. Hence, creating challenges for the enterprises would be helpful for reaping
the advantages from analyzing the big data. It is important for the organizations to provide
insight about big data as well as the BDBA on the logistics as well as supply chain management.
It is important to realize the importance for the organizations and enhance the process by
analyzing the customer buying patterns as well as make the process effective for the
organization. Realizing the process and significance of big data analysis assists in reviewing the
procedure and classify the significance of the patterns (Wang et al. 2016). The process is based
on the type of analytics as well as emphasis of the study. In addition, it is important to evaluate
the extent for SCA that can be applied with the maturity framework and the levels of capability.