Business Intelligence using Big Data: Data Collection and Storage

This report analyzes the significance of big data within business intelligence, particularly in operations and supply chain management. It emphasizes the role of big data in improving demand and inventory planning, leading to enhanced supply chain benefits. The report also examines data collection and storage systems, highlighting consumer-centric product design as a key application. Furthermore, it addresses business continuity by exploring strategies for online businesses to survive disasters and power outages. The report concludes with recommendations for overcoming challenges associated with big data utilization, offering valuable insights for business optimization and resilience.

Running head: BUSINESS INTELLIGENCE USING BIG DATA
Topic-Business Intelligence using Big Data
Name of the Student
Name of the University
Author’s Note

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BUSINESS INTELLIGENCE USING BIG DATA
Executive Summary
The report generally illustrates the significance of big data in context to operation as
well as supply chain management. The main purpose of this report is to elaborate the
requirement of big data within business organization. It is found that that big data helps
in playing an important role in managing both operation as well as supply chain
management of the organization for improving demand planning as well as inventory
planning for providing appropriate benefits in the field of supply chain management.
Additionally, the report analyzes the data storage as well as data collection system. It is
identified that consumer centric product are elaborated for reflecting the importance of
business organization. For making the survival of business in spite of disasters and
power outrage, various methods are elaborated. The paper also illustrates several
recommendations that are quite significant for resolving various challenges as well as
issues due to the big data utilization within the business organization.

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BUSINESS INTELLIGENCE USING BIG DATA
Table of Contents
Introduction...................................................................................................................... 3
Task1: Data collection and Storage.................................................................................3
1.1 Data Collection System..........................................................................................3
1.2 Storage System......................................................................................................5
Task-2 Data in Action.......................................................................................................7
2.1 Consumer centric product design...........................................................................7
2.2 Recommendation system.......................................................................................9
Task-3 Business Continuity............................................................................................11
3.1 Survival of online business during disasters and power outrage..........................11
Conclusion and Recommendations................................................................................12
References.....................................................................................................................14

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BUSINESS INTELLIGENCE USING BIG DATA
Introduction
The paper mainly focuses on the significance of big data for supply chain and
operation management. It is stated by Hazen et al. (2014), that big data is one of the
terms that help in illustrating the large volume f structured as well as unstructured data
that generally inundates the entire business on day-to-day basis. It is mainly used in
order to manage the operations as well as supply chain of the organizations. On the
other hand, it is argued by Waller and Fawcett (2013), that big data assists in making
the entire organization much more optimized as well as efficient for increasing the
bottom line of the organization. The big data use within the organization helps in
improving responsiveness, inventory planning, demand planning as well development
for giving continua advantages inn the field of supply chain management. In addition to
this, it is identified that with the adoption of big data, different operations of the
organization are generally managed appropriately within the organization (Schoenherr
and Speier 2015). It is found that with the appropriate application of big data, different
types of operations are planned, supervised as well as organized in context to
manufacturing as well as production.
The report generally illustrates the significance of big data in terms of operation
and supply chain management. The assignment mainly elaborates data storage,
collection as well as significance of data in action. The paper also assists in providing
proper recommendations for solving the problems of online business in case of
disasters and power outrage.

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Task1: Data collection and Storage
1.1 Data Collection System
Data collection system is defined as one of the computer application that helps in
facilitating the entire procedure by allowing specific as well as structured information
that need to be gathered in a very much systematic fashion for enabling the entire data
analysis. The modern procedure of data collection is considered dependent on different
types of advanced technology for analyzing large amount of data effectively (Wang et
al. 2016). It is identified that big data helps in playing a significant role in collecting
various kinds of data by following different methods as well as techniques. The various
types of data that are generally collected are:
Marketing data: The marketers generally utilize big data in order to collect
business related information. The marketing related information associated with
browsing behavior, social media interaction and purchasing must be gathered
appropriately from various organizations (Tan et al. 2015).The information that are
collected by utilizing big data must be integrated appropriately by applying effective
marketing strategy that generally helps in creating proper impact on customer retention,
marketing performance as well as on customer engagement. The marketing related
information is generally collected by following methods that include surveys, internet as
well as different government agencies.
Operation management data: The data as well as information that are
associated with the operation of the organization must be gathered properly for
enhancing efficiency of the entire organization in terms of operation and expenditure

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(Chae 2015). Big data is mainly utilized by most of the companies in order to collect as
well as analyze data appropriately for raising profitability. The data as well as
information that are associated with the organization’s operation mainly assists in
planning, organizing as well as supervising in terms of production as well as
manufacturing.
Figure 1: Data collection System
(Source: Schoenherr and Speier 2015, pp.121)
Supply chain data: The business organizations are facing number of issues as
well as challenges due to absence of appropriate supply chain data. In order to improve
both efficiency as well as service of the organization, it is quite important to collect
information associated with supply chain management effectively (Giannakis et al.
DataCollectionSystemMarketingdataOperationmanagementdataSupplychaindataFinancialdata

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BUSINESS INTELLIGENCE USING BIG DATA
2016). Due to the growth of different types of digital technologies, it is analyzed that the
organizations can be able to gather appropriate amount of information as well as data
by utilizing powerful techniques or methods. It is identified that appropriate data analysis
of the customer is quite useful as it mainly helps in generating proper insights on labor
optimization, operational risk management, and product placement as well as on pricing
strategy (Waller and Fawcett 2013). Some of the additional key benefits that can be
gained by utilizing big data in context to supply chain helps includes enhancing
efficiency, improving productivity as well as edge with different competitors.
Financial data: Big data analytics mainly involves in gathering as well as
identifying different type of information and data. Data are generally collected from
different organization including shopping centre, bank and more for storing the
information properly within the database. The information as well as data that are
generally collected must be analyzed in different ways. It is identified that different types
of complex system and algorithms are generally collected for the same procedure (Lee,
Kao and Yang 2014). The information that are analyzed generally assists in predicting
different future trends for determining the prices and for calculating the type of risks.
The information associated with banks, credit card unions as well as credit card assists
in determining the risk level.
1.2 Storage System
It is identified that traditionally data are mainly collected to store them in the form
of written documents, which can be managed, effectively with the help management as
well as marketing team of the organization. The data that are stored in the form of
documents are not considered secure as they can be hacked at anytime. For resolving

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this type of challenges, the organizations introduced big data. According to Huang and
Handfield (2015), the business owners as well as organizations are receiving huge
capacity for data storage so that all the information related with supply chain as well as
operation of the organization must be stored properly. After proper implementation of
big data analytics, different types of rules as well as guidelines are generally set by the
organizations (Wamba and Akter 2015). It is identified that before the implementation of
modern procedure of data collection, manual procedures are generally utilized for
storing information related with supply chain management, customer relationship
management and more.
After proper implementation of big data tools, information associated with
operation as well as supply chain management of the organization are generally stored
in any of the storage devices as well as per the requirement. The procedure of
automatic collection of data is quite effective as well as advantageous as compared to
manual data collection procedure. In order to support, different business related
information, it is very much important to incorporate proper rules in terms of different
technological components (Hofmann 2017). For supporting various requirements as
well as needs of the business organization, proper information is gathered by utilizing
proper data collection techniques. It is identified that big data mainly assists in giving
appropriate amount of storage to various organizations as it is analyzed that big data
analytics utilization, the data collection procedure became much simpler as well as
advanced in both the perspective of consumer as well as businesses.
The data related with operation as well as supply chain off the business
organization must be accessed as fast as possible. If the organizations are unable to

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access proper information and data with appropriate time then the entire thing became
useless. It is identified that in manual data management system, the entire data as well
as information are accessed properly therefore the use of big data is considered
advantageous. The supply chain management generally helps in holding number of
technical approaches that include information technology, finance, and logistics as
information technology (Tachizawa et al. 2015). In order to manage both the network as
well as relation between various units including buyers, suppliers as well as facility
providers, big data is considered one of the important tools. Big data helps in providing
both type of service including backward service as well as forward service. The main
task before the management authority is to strength the immunity of the interface by
removing different types of external attacks.
Task-2 Data in Action
2.1 Consumer centric product design
It is identified that design of consumer centric product is required by the
organization in order to drive the entire business properly. Therefore, it is quite
significant to make proper modification within the existing system as per the
requirement of the consumers. Different types of analytical technologies are needed in
order to improve the entire storage capacity by giving proper security to the data and
information that are generally associated with the operation as well as supply chain of
the organization (Christopher and Ryals 2014). The various types of components that
are generally needed include innovation, data driven technologies, consumer centric
products as well as collaboration. It is identified that centricity of the consumers not only

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assists in giving appropriate service to the customer in order to provide greater
offerings on the experience of the consumers (Kwon, Lee and Shin 2014). This is
generally possible due to the methods of post purchasing as well as purchasing. The
different approach of product of product design generally assists the consumer to be in
the first priority and the rest in the next level of priority list. The centricity of the
consumer can be improved by incorporating components that include consumer-
focused relationship, experience designing, front line empowerment and more.
Figure 2: Customer centricity
(Source: Waller and Fawcett 2013, pp.250)
It is very much significant to consider engagement, interest as well as behavior
of the people for helping them properly. It also assists in identifying different types of
opportunities for developing proper services as well as products that is quite helpful in
attracting more number of customers. The lifetime value of the consumer must be

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considered properly by the management authority of the organization for customer
segmentation (Demirkan and Delen 2013). It is identified that big data mainly helps in
organizing, gathering as well as storing different types of information within the server in
a quite effective manner so that the information can be utilized properly. In order to
address the information as well as data, it is quite significant to comprehend the scenes
quite effectively. Big data analytics have appropriate ability that helps in connecting
large number of consumers within the business by considering different needs as well
as requirement properly (Li et al. 2015). It is identified that proper support is provided to
the consumers as big data utilization is considered as one of the important need for the
organization. It is identified that proper level of management is generally needed in
order to mitigate different challenges. It also assists in serving the goal of the
organization. Proper level of knowledge is needed in order to overcome various
challenges that are faced by the organization due to improper use of big data analytics
(Hahn and Packowski 2015). Therefore it is identified big data analytics lays an
important role within the business organization.

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Figure 3: Customer-centric supply chain
(Source: Wamba and Akter 2015, pp.64)
The supply chain as well as operation management of the organization can be
improved with the help of big data analytics. As per the research, it is identified that both
the workers as well as consumers are considered on the centre of focus. In addition to
this, it is quite important to store information as well as data related with suppliers as
well as buyers with the data server of the organization. The customers can reach to
their required services as well as products with the help of the website.
2.2 Recommendation system
The supply chain management faces number of challenge due to improper
utilization of big data software. However, the current system is helpful enough to