Business Intelligence Using Big Data for Supply Chain Management

This report delves into the application of business intelligence using big data, focusing on its impact on supply chain and operations management, particularly within the context of HotelSpecials. It begins by examining data collection and storage systems, crucial components for leveraging big data's potential. The report then explores 'data in action,' highlighting consumer-centric product design and recommendation systems as key strategies for enhancing customer experience and driving business value. Furthermore, the report addresses business continuity, emphasizing the importance of adapting to technological advancements and ensuring operational resilience. The analysis underscores the significance of big data analytics in optimizing processes, improving decision-making, and gaining a competitive edge in the dynamic business environment. The report concludes with recommendations for effectively implementing and utilizing big data strategies.

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Business Intelligence using Big Data
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Executive summary
Organizations likewise harbor uncertainties about sparing and moving data cloud-based systems
(e.g. online-based social marketing). These instabilities should be tended to also. It might be
down to an absence of innovativeness in concocting better approaches to utilize or adapt
information, or essentially a hesitance to actualize new strategies and advances inspired by a
paranoid fear of disappointment. Specialized issues, conversely, are not the primary impediment
to sending huge information advancements. In addition, in perspective of supply chain and
management system, it is required to process effective operations with the help of big data and
business intelligence system, which is discussed in the present report.

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Table of Contents
Introduction......................................................................................................................................4
1. Data Collection and Storage........................................................................................................4
1.1 Data collection system...............................................................................................................5
1.2 Storage system...........................................................................................................................6
2. Data in Action..............................................................................................................................7
2.1 Consumer-centric product design..............................................................................................8
2.2 Recommendation system.........................................................................................................10
3. Business continuity....................................................................................................................12
Conclusion and recommendation..................................................................................................13
References......................................................................................................................................14

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Introduction
Business intelligence is considered as ability of an organization in order to make
meaningful utilization of data that is collected in the course of day-to-day operations in business.
In addition, the business intelligence act a crucial role in enhancing performance of an
organization through addressing new opportunities as well as highlighting possible threats and
revealing new business insights along with improving the process of decision making. The report
explores importance of big data and big data analytics supply chain and operations management.
In addition, data collection and storage, data in action and business continuity are discussed in
the present study. In the present study, HotelSpecial has been selected to use business
intelligence using big data in order to manage supply chain and operation management
effectively.
1. Data Collection and Storage
With the assistance of these fast improvements more organizations are moving their
concentration to investigating and exploring the data of the organization. This marvel is called
"Big Data" and is recognized on the developing innovation buildup cycle as one of the greatest
IT patterns of the most recent couple of years (Wixom et al. 2014). Since Big Data is as yet a
trend, individuals utilize Big Data as catch-phrase to explain the enormous amount of data that is
excessively troublesome, making it impossible to process by a conventional database or
conventional programming methods. In this perspective, it is important to use Big Data and Big
Data Analytics to minimize the issues.

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1.1 Data collection system
In the present scenario, the organization faces issues with the added value of Big data.
Howevr, as the aim of the organization has aims to capture and store as well as analyze data and
increase performance of the organization through making more decisions based on data
(Gandomi and Haider 2015). The understanding of clients expanded after shopping moved on
web. Since the mid of 2000s, the World Wide Web started to offer one of a kind information
gathering techniques. Online shops cannot just track the things that purchased by customers,
additionally how the clients can be explored by online-shop; the client took a gander at and the
process of affecting by format of page as well as if the client is tapped are on the process of
advancement connection (Kim et al. 2014). There are 38 percent of organizations in Australia
still gripe of an absence of convincing business cases. This number is high, particularly given the
measure of scope enormous information gets in the IT and business media.
Online-shops are capable to lead A/B testing. In the test taking the factual distinction on
several measurements of making conduct of the client with adapting A and rendition B.
Organizations that are conceived computerized and that can make an incentive from information
that can accomplish upper as well as conventional enterprises (Sharda et al. 2013). Conventional
retailers retailer cannot get this sort of data not mentioning to follow up in an auspicious way.
Data collection system is considered important for the organization.
The method toward managing big data is extremely not exactly the same as dealing with
conventional information. There are different techniques utilized by the organizations likewise as
there such a significant number of utilizations of big data in dustries. In addition, Big Data is
deals with at different stages, specifically, gathering, securing, dealing with, analyzing with a

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goal of disentangling supportive encounters profitable to settle on business decisions. An
expedient elucidation of these stages is described as followed.
1. Collecting data: This stage incorporates collection of data from a couple of sorts of
data sources, data bazaars, and data stockrooms.
2. Data Organization: This stage incorporates arranging and engineering the data on the
preface of composed, unstructured and semi-unstructured data which is definitely not hard to get
to and separate. This data can be gotten to using immense data progresses, for instance, NoSQL,
Hadoop Distributed File System (HDFS). With the help of these three steps, HotelSpecials
collect data based on big data and business intelligence system.
1.2 Storage system
Storing of information in HotelSpecials incorporates securing the data into appropriated
database structures and servers. The data is secured in such a route, to the point that for every
data set away, the fortification is in the meantime made (Fan et al. 2015). In addition, the stage
incorporates setting up the physical establishment or setting up cloud for data accumulating. The
key prerequisites of big data storage are dealing with a lot of information as well as scaling to in
order to stay aware of growth, so that the process can provide the input/output operations in
every second (IOPS), which is considered as very important for conveying convey information to
the devices of investigation. The biggest enormous information professionals like Google,
Facebook, and Apple. These are recognized as hyperscale computing environments.
The process involves tremendous measures of the item servers that are attached with
direct-attached storage (DAS). In addition, redundancy is involved at the level of whole storage
unit as well as unit endures that has outage of the parts supplanted, having just failed to its

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mirror. The environments run on making semblance of Hadoop, NoSQL as well as Cassandra as
engines of analytics, and normally the systems have PCIe flash storage sytem in the server or
notwithstanding plate to slice stockpiling dormancy to a base. There's no mutual storage in this
kind of design.
Hyperscale computing environments have been the safeguard of the biggest online
operations to date. On the other hand, it is very likely that the structures will step down into more
standard ventures in the coming years (Wu et al. 2014). Thus, instead of utilizing a warehouse
for storing as well as processing large data quantities, Hadoop is utilized as well as data moves to
the organization warehouses for different applications. For example, Wells Fargo and Citi have
adopted Hadoop with the present analytics storage and processing capabilities (Chen and Zhang
2014). In this perspective, it is possible that cloud as well as Hadoop continue to lend helping
hand to the enterprises wanting to manage big data. Thus, it is important to use big data analytics
in suppy chain management and operation management system in order to store high volume of
data.
2. Data in Action
It is important for HotelSpeicals to remove to get more value out of the available
information with the assistance of Big Data is to make worthy meaning of Big Data. Since
respondents said two sorts of definitions, it can expend a great deal of time however can likewise
make perplexity for all offices. In expansion, getting one meaning of Big Data does not imply
that an association needs to pick between utilizing Big Data Analytics or Big Data as an
empowering agent of counterfeit consciousness, self-learning programming, and more intelligent
calculations (De Mauro et al. 2015). The objective of this initial step ought to be to make greater

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lucidity and get free of the tag "buzzword". In the subsequent stage an organization should take
to get more an incentive out of getting the information that can accessible with the help of Big
Data is to prepare workers about the capacities of Big Data.
As delineation, it can be specified that this procedure begins with instructing the workers
all through the entire association. For instance, if the IT division is making a new calculation to
enhance the organization’s constant promoting offering framework, the office will require the
assistance of the promoting division (Riggins and Wamba 2015). Notwithstanding, if the two
offices have an alternate training level of Big Data it could prompt disappointment and
furthermore to a wasteful calculation. The particular occupation is quite recently changing and
the representative needs to adjust and cooperate with the programmed calculation. It is essential
to see it along these lines, on the grounds that the contenders will change and after that the
worker needs to fight versus a programmed calculation of a contender (Valacich and Schneider
2015). In order to use the data of the organization in maintaining effectiveness in supply chain
and operation management system, it is essential to use the data effectively.
2.1 Consumer-centric product design
Customer centric is one of the methods for business focusing the customers in a way that
provides positive experience for customers previously, and then after the sale keeping in mind
the goal of the enterprise is to drive repeat business, customer loyalty as well as profits With the
help of customer centric approach, HotelSpecials can offer good service.
Amazon and Zappos are the prime cases of brands following customer centric approach
and give investment several years making a culture for customers as well as requirements.
Dedication in conveying customer value is authentic. Zappos is upbeat to terminate workers in

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the event that they don't fit inside their customer centric culture (Spiess et al. 2014). The
significance of being customer centric approach keeps on developing in HotelSpecials.
Econsultancy as of considered what the most vital characteristics are keeping in mind the
goal to set up a genuinely "digital-native" culture. The response to that inquiry and driving the
reactions with 58% was to be customer centric (Vera-Baquero et al. 2013). Customer centricity is
not just about offering awesome client benefit, it implies offering an incredible ordeal from the
mindfulness arrange, through the obtaining procedure lastly through the post-buy process. It's a
procedure that depends on putting the customers to begin with, and at the center of the business.
Expanding the rates of occupancy as well as revenue improving customer experience
considered as the point of modern hospitality enterprises. In order to accomplish the outcomes,
managers of HotelSpecials need profound information of customers’ needs, conduct, and
inclinations and understand regarding the process that the administrators for the clients and
afterward empower their maintenance and steadfastness.
It is all around archived that Big Data could enable retailers to understand clients as well
as stakeholders involved in the operation of the organization, it is required to achieve new
income streams and even lift customer organization through on-time, area based impetuses and
offers (Lee et al. 2014). It is required to understand through which it would influence the fate of
retail. As the Internet of Things or IoT turns into a thing, an ever increasing number of retailers
would empower their physical shops with sensors that can distinguish when a close-by customer
has the application introduced on their gadget, regardless of whether it is a wireless or tablet.
The application could then convey auspicious offers and impetuses to enable offer more
items, to acquaint customers with new items they might not have known about or seen.

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Obviously, this is just a single of the many employments of the IoT, yet it would be an effective
one for retailers (Lee et al. 2014). For the entire flourish about web-based social networking
information, retailers will get more futile gab rather than genuine information. With better
information investigation, retailers could sift through all the futile commotion and home on
genuine information wherein it applies to what they need to know in regards to their clients, the
impression of the general population of the brands and the way individuals react to the items.
Thus, big data and analytics can be helpful for HoteSpecials to manage the stakeholders involved
in the supply chain and take appropriate actions against the issues.
2.2 Recommendation system
As supply chain and operation management system is considered as important aspects for
an organization, it is required to process effective system for the organization. HotelSpecials
need to plan products based on the demands of customers with the help of big data analytics and
intelligence system (Assunção et al. 2015). In addition, sourcing raw materials as well as
components or parts are required to implement effectively. On the other hand, delivering the
products effectively to customers would be useful for the organization.
The outcomes with respect to Big Data, Business Intelligence, and Decision Making can
be useful to provide recommend system for the organization. However, Big Data is still
considered as another subject and research range. For instance, many people think that Big Data
is just a buzzword. In order to counter this, HotelSpecial need to set a reasonable meaning of Big
Data (Chen et al. 2014). Furthermore, there are diverse abilities of Big Data since it is considered
Big Data as another subject and research region. In the writing, Big Data, Business Intelligence,
and Decision Making are considered as three emphatically related look into ranges.

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Notwithstanding, in view of the respondents two streams are recognized. The main stream is
individuals without foundation of information technology, similar to PC science or building
program, contend that Big Data can be addressed with Business Intelligence (Abbasi et al. 2016).
Moreover, decision making and the second stream are respondents with an IT foundation that see
Big Data as an empowering influence of computerized reasoning, self-learning programming,
and more astute calculations.
HotelSpecial could begin with Big Data, Business Intelligence as well as Decision
Making by: (i) selection of test office with liberal and information well disposed chief (ii)
recognizing and choosing close to five open doors that can be settled with Big Data inside five
weeks (iii) beginning a development procedure with the accompanying strides: experimentation,
estimation, sharing, and replication (iv) and if conceivable, convey some expository difficulties
on their Big Data to outsiders (Katal et al. 2013). Also, the outcomes demonstrate that an
association needs to: (v) preparation of workers regarding capabilities of Big Data (vi) starts with
Big Data as well as find out related to Big Data apparatuses while actualizing and utilizing them
(vii) develop rundown of all Big Datum instruments that encounters the Distraught necessities
(viii) pick the correct apparatus that fits the reason of the association (ix) and don't focus on
creation of more quick witted Big Data frameworks or more astute Big Data calculations than the
contenders. Building further upon this, the outcomes additionally show that if an association
begins with Big Information, Business Intelligence, and Decision Making the association ought
not supplant their present stages. Associations should utilize it as an expansion for scientific
questions that need a ton of information inside seconds or minutes.

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3. Business continuity
Big data analytics has turned into a basic for pioneers of business over every segment of
industry. Analytics applications convey competitive advantage in supply chain decision
spectrum. While several organizations have used for separating the new bits of knowledge as
well as develop new types of important worth. In addition, distinctive organizations seem to use
big data in order to change their store operations of network. Thus, it is important for the
organization utilizes big data analytics for driving supply chain and offers structure to execute in
learned lessons.
On the other hand, the scale, degree as well as profundity of data supply chains are
developing. These are quickening, giving adequate informational indexes in order to drive
logical insight. The accompanying realistic can provide diagram of 52 unique sources of big data
that are created in supply chains (Bello-Orgaz et al. 2016). In addition, forward thinking
manufacturers are taking a gander at enormous information as an impetus for more noteworthy
joint effort. Big Data is changing how provider systems shape, growth, multiply into several
markets as well as develop after some time (Xiang et al. 2015). Exchanges are not the major
learning sharing systems, depends on the bits of knowledge that are picked up from big data
analytics.
Conclusion and recommendation
It can be summarized from the above discussion that big data and business intelligence
system has an important role for improving the business by getting competitive advantages.
However, the present labor market has a deficiency of qualified professionals around there. This
issue is not provincial in organizations about detailed comparable grievances. The rates for