Big Data's Impact: Facebook's Decision Making and Profitability

This report delves into the impact of big data integration on Facebook's decision-making processes and profitability. It examines how Facebook utilizes big data analytics, including tools like Hive and Scube, to enhance speed, efficiency, and customer service. The analysis covers various departments such as finance, marketing, sales, human resources, and procurement, highlighting how big data influences decisions related to cost management, marketing campaigns, sales strategies, employee performance, and supply chain optimization. The report also discusses the adoption of big data analytics by organizations and the significance of data integration for achieving business goals. It emphasizes the benefits of big data in identifying consumer behavior, optimizing resources, and improving overall business performance, providing insights into how Facebook leverages data to gain a competitive edge in the market.

Module Assessment

Table of Contents
INTRODUCTION...........................................................................................................................3
PART A...........................................................................................................................................3
TASK 1.......................................................................................................................................3
Discuss about the impact of big data integration on effective decision making and had for the
profitability of Facebook.............................................................................................................3
PART B............................................................................................................................................7
Discuss the impact of big data adoption for organization investing in big data analytics. ........7
CONCLUSION..............................................................................................................................10
REFERENCES..............................................................................................................................11

INTRODUCTION
Big data is basically a term that describe the large volume of data in both unstructured
and structured format. It is used for business process to manage and analyze the information
regarding the business development. Facebook is leading organization to use the big data concept
for analyzing the insight lead in better decisions. This documentation will discuss about the
impact of big data integration on the effective decision making. It helps for business to increase
the profitability in marketplace. Furthermore, this study will evaluate that how big data adoption
become success and failure in the organization and also justified in proper manner. This
documentation will describe that the organization investing time to adopt the big data concept in
effective ways.
PART A
TASK 1
Discuss about the impact of big data integration on effective decision making and had for the
profitability of Facebook
Facebook is based on the online social media networking company and found by the
Mark Zuckerberg. The organization uses different type of big data analytics tool and also created
own tools like Hive, Scube etc. it drives the efforts to increase the growth of social media
platform (Dubey, Gunasekaran and Childe, 2018). It is mainly used the big data integration
process for increasing the speed and efficiency. This concept will help for organization in
decision making process.
Big data integration is a process takes tradition information, web data, social media
platform and machine generated data from the internet of things. It combines with providing the
up to date view of business process (Dey and et.al., 2018). It is the best drive that need to boost
the performance and efficiency of enterprise. In Facebook, many engineers plays leading role as
data engineering, they look to ride the latest trends in terms of data analytic at new business. The
main goal is to provide the user ready tool that help for customer to easily analyze the complex
data set. They mainly focus on the server less search and software that moves on the data type
into the Structural Query language engine.
The concept of big data is important all around the world, but it only recent technology
that enabled the efficiency and speed. It will change the smallest companies do enterprise as a
data interpretation and data collection. It is mainly emerging technique that improve and easily

for business to implement big data solutions. Customer service is one of the most important areas
in the organization that must deliver the best services to business. Facebook have been use the
real time data that offers one to one personalized services and their solutions. Big data offers the
customized loyalty program to the consumer. The organization is utilizing the data collected
from 880 million people those who are using social media networks to generate actionable
insight. In this way, it helps for decision making to identify the view point of people in global
world (Dubey, Gunasekaran and Childe, 2018). Facebook uses the Big data analytics concept to
reduce the network errors or faults, improve customer experience and optimize the resources etc.
It is possible due to the big data integration process to easily collect the data set in appropriate
manner.
Big data integrator helps for organization by supply the modern native approach that
ensure to control high level of flexibility, capability and comparability in proper manner. With
growing large volume of sensor and other social data that being generated. It has become the
most critical to arrange the large number of information through the analytics. It is the most
powerful features to gather accurate and correct data. For Example- Many organizations are
investing of big data infrastructure where an appropriate hardware used or building traditional
data management architecture (Ducange, Pecori and Mezzina, 2018). Hadoop eco-system is an
effective way to unify the big data integration process in different applications. In this way, big
data analysis is completely changing the approaches and mode of current business scene.
It consists of main attributes for better ways to understand the structure of data and how it
can implement for growth or development. It leads to insight that can turn into the better
strategic enterprise decision. Ongoing market value and trend in finding through mobile
applications, big data approach has raised beyond the storing or collecting large amount of
information. The business has diverted towards the new trends and adopting a technology for
increasing the decision making according to business environment. Big data help for decision
making to solve the problem of data management in effective manner. For Example- Google,
southairlines and Amazon are using the bid data concept to make decision for increasing the
profitability and success in global world. Google is also created people Analytics department
that help to the business make Human resource decision such as team performance review.

Big Data Impact on decision making:
In recently changing the world, it is very important for organization to use new concepts
and technique to reduce the load of business. Big Data is another factor that support the business
in terms of decision making (Hazen and et.al., 2018). Facebook is implemented the concept by
improving the decision making through big data. The marketing environment of business has
been changed which required to adopt the decision making for growth and development.
Finance- this is main department of business to manage all the details regarding the cost,
budget planning, payroll and fringe advantage, payable or accounts, credit, billing collection etc.
These are the important task performed in the financial department so that it required for
organization to handle the operations through big data (Grover and et.al., 2018). Sometimes, it is
difficult for manager to take decision related the cash flow steadier, customer credit and other
external parties commitment etc. these are important decision takes by using the big data
integration because it easily compares the gauge in different business event or scenario.
Facebook is used their own data analytic tools that help for managing the procurement in proper
manner. It is beneficial for identifying the threats and credit risks.
Marketing and PR- Marketing is the most important parameter of business that can use
for exploring their product and service in marketplace. It is another department in Facebook that
perform different task such as develop portfolio, pricing and product, competition, monitoring
market, promotional planning, brand building, corporate communication and monitoring social
media etc. These are operations performed by the business provide the details and information to
the customers (Hazen and et.al., 2018). Manager needs to take some important decision for
business development such as best time for promotions, marketing campaign etc. this type of
operations required for organization to identify the need of customer which is the most important
things. In this way, business is helping the potential consumer those who are communicating
with manager. For Example- Facebook is introducing a new feature in their own applications
which needs to provide the proper information related the features. In this way, people aware
about the features and uses in their own accounts.
Public relations is another concept to directly selling the company or brand in
marketplace. It can be used the different medium or channels to distribute the information from
one place to another. Marketing activities are trying to achieve the goals and objective of
business. Big data concept use in the marketing and Public relations to develop new

opportunities and determine the reaction of other people. It helps for organization to monitor the
people activities. Big data integration process is also determines the marketing campaign and
analyze all the data set relevant to the business process. Finer grained data can be used to collect
information from the network probes and other intelligent sensor or data sources that powers the
big data analytics. It provides new insights into the best ways to improve the customer
experience and optimize networks. For Example- Qlik Sense is big data tools that help for
loading sources with selection of application which provide aggregated views. It enables a user
to zoom and analyze the finer grained data.
Sales- Sales is an essential part of business to sell their product and service in
marketplace. Sales team are always trying to communicate with the consumer to provide the
information regarding the product or services. There are different tasks performed in company
such as customer relationship management, managing distribution channel and Acquisition of
new clients etc. These are various function that are directly related to the revenue generation
where business takes important decision regarding to find the new consumer demand, new
channels etc. In this way, it directly impacts on the business operations and functions. Big data is
providing the benefits for the organization to determine the consumer and their higher potential
values (Iqbal and et.al., 2018). It also analyzing that what is the best sales channel suitable for
business process. Qlik sense tool is determine the optimal sales offers to manage and control the
entire functionality. In this way, it easy for business to understand the business operations and
then taking right decision in proper ways. It is the best approach of business to promote their
services in market by using data analytics.
Human resource- Human resource is a main part of organization that support the
business operations and functions. There are different operations performed by Human resource
such as training and recruitment, improvement plans, record maintaining, employee
performance, employer branding etc. these are the important factor which needs to implement
right decision making for increasing the business speed and efficiency. Big data impact on the
Human resource where they providing the facility to collect and manage the data of consumer,
employee and other transnational information. They can use for the better understanding of
business performance, improvement of employee or services and current composition etc. Big
data integration is set to evaluate and improve the enterprise practices such as retention, overall
performance, talent acquisition etc. In this way, it is beneficial for firm to improve the decision

making for development and growth. Big data is an approach to analyze and integrate the social
media data and delivered the proper solution to the enterprise problem faced by organization.
The biggest problem arise in Human resource is lack of data put on the discussion of business so
that it is an essential for used the big data tool to analyze the overall details. It also helps for
organization to remove barriers or increase the business performance.
Procurement and Logistics- It is a key activity in terms of supply chain. It significantly
influences the success of business depending on how it is controlled or managed. The department
has performed different tasks such as purchase planning, research and selection of supplier,
inventory control, price negotiation, vendor contracts, administration etc. These are the important
task happen due to big data integration process (Manogaran, Thota and Lopez, 2018). It provides
the best way in decision making to determine the new opportunities for saving. Sometimes, it is
difficult for shorten development time before the production of large volume. These are
important decision scenario that needed to manage in proper manner. Big data integration
process help for decision making to handle all situations. It has changed their price strategy on
the basis of market value and demand. This process is controlling the flow of good due to the
consumption in various nations. However, it easily determines the local inventory for
implementing idea for business development.
It has been justified that Big data integration process is beneficial for organization to
adopt the analytics tool. It helps for business to increase their profitability in global world.
PART B
Discuss the impact of big data adoption for organization investing in big data analytics.
Big data is the latest technology driven movement and its strategic significance requires
focus and attention during the adoption. Currently, big data analytics investment rises across the
business and around the globe. It is also representing an enterprise adoptions to manage the
speed and successful adoption on the basis of time. There are so many advantages to gain from
the big data because it is an emerging technology to handle the complex situation in proper
manner. This technology is supporting a specific framework infrastructure such as volume,
variety and velocity etc. It has supported the data set in three different parameters and much
scope when it can correctly analyse from business perspectives (Nguyen and et.al., 2018). For
effective utilisation of big data analytic which requires for changing the mind set. It has started

with good points and adoption of mainstream requires for structured framework because the
solution space in the areas comprises not only large amount, varied data set.
Big data adoption is process that reached 54% in 2017 of companies, up from 18% in
2015. According to report, It found that big data analytic is end user trends and intention
surrounded by the business. It defines the system that enables the end user to easily access the
data or manage within Hadoop eco-system. In 2017, Big data impact on the market through size
and function of industries.
Data is the highly valuable for business process because it connected with world and
growing in volume. The big data technology uses for altering the best way to enterprise and
operates across the world. There are various type of challenges faced by the organization so that
they may think about the bid data adoption. It is necessary to invest big data in the business
analytics. In multinational companies, Big data analytic offers various type of opportunities for
business to create competition advantages and influences on the decision making process.
Business are positioned well to capture the long term benefits or give flexibility to adopt a new
thing. It impacts on the large scale to change the facilities.
Sometimes, the investment of big data analytic is risky for business but it helps to the
organization to increase the decision making. It also analyses market fluctuations, manage
campaigns and maintain advantages (Pal, Li and Atkinson, 2018). It offers the understand the
customer behaviour which turn the business enhance their new product development. Many
organisations cannot afford the cost of big data analytic. Big data is providing the benefits of
evolving the information stream to make data driven decision to boost the perspective of
enterprise. It implementing the business operations to turn into the success but many businesses
were failed to gain the success because the implementation solution to harness in the true
potential. In this way, it converted into the disaster.
In the Future, Big data analytic investment is looking bright, As per survey. It found that
the data analytic market in UK is expected to touch $3.2 Million in 2018. It has perfect
opportunity to restructure the infrastructure and knowledge leverage the large amount of
benefits. Cloud service is affordable in real time which provide the facilities of business to
exploit the big data analytic for development. It is not possible without making a large capital
investment. Big data offers the mobility and freedom to use any of technology for improve the
consumer understanding and penetrating the new global market.

Adoption Framework of Big data analytics-
It is a key factor in term of success where new program is executed form the different
phase of inception. Big data program is necessary for integrating the data by using strategic
planning and also carry some penalties if data failure. It is needed to enable the right adoption of
big data analytics within the business. There are some critical component applicable in the
framework such as data discovery, Analytics discovery, infrastructure discovery, tools and
technology discovery, implementation. These components are performed different functions to
collect or analyse data set in appropriate manner (Pal, Li and Atkinson, 2018). It is successful
planning a big data adoption framework that involves the combination of different data within
organization. It requires for choose the best tools, technology and infrastructure that successfully
adopt big data. It is used in the business because it can determine the data set in different manner
and also remove the interferences the analytic processing. The process execution is adopted the
framework to identify data, design, verify and develop in proper manner. For Example-
Information grows at the high rate whereas the business may use the tools and methods to refine
and meet the goals or objectives (Pal, Li and Atkinson, 2018). In this way, Big data analysis is
modern approach to handle the data processing through strategic planning. On the other hand,
Matlab and SAS is also applied in the business to analyse the data and also determine the
limitations. It helps for business to solve the problem and issue that generated during executions.
Recommendations
It has recommended that the big data analytics applicable in the business process to solve
the challenges in proper manner. It has advancement of technology for applying on the financial
market to check their processing from starting point to closer. It providing the many benefits to
analyse and gathered a large data set in proper manner. Big data platform understand the data
lineage, compliances to handle any type of complex situation. It has provided the faster services
on regularly basis. It helps for increasing the productivity of business in marketplace. It has been
suggested for user to apply the concept for the purpose of development. On the other hand,
mangers are needed to use the big data analytics concept in strategic planning that support the
functionality of enterprise.

CONCLUSION
As per discussion, it concluded that Big data is a concept that help for collecting large
amount of data into the unstructured and structured format. It is mainly used for analysing the
relevant information regarding the business process. However, Facebook is leading organization
to use the big data concept for analysing the insight lead in better decisions. It summarised that
the impact of big data integration on the effective decision making. It helps for business to
increase the profitability in marketplace. It evaluates that how big data adoption become success
and failure in the organization and also justified in proper manner. Organization are investing
time to adopt the big data concept in effective ways.

REFERENCES
Books and Journals
Dey, N. and et.al., 2018. Internet of things and big data analytics toward next-generation
intelligence. Berlin: Springer.
Dubey, R., Gunasekaran, A. and Childe, S.J., 2018. Big data analytics capability in supply chain
agility: the moderating effect of organizational flexibility. Management Decision.
Ducange, P., Pecori, R. and Mezzina, P., 2018. A glimpse on big data analytics in the framework
of marketing strategies. Soft Computing. 22(1). pp.325-342.
Grover, V. and et.al., 2018. Creating strategic business value from big data analytics: A research
framework. Journal of Management Information Systems. 35(2). pp.388-423.
Hazen, B.T. and et.al., 2018. Back in business: Operations research in support of big data
analytics for operations and supply chain management. Annals of Operations
Research. 270(1-2). pp.201-211.
Iqbal, R. and et.al., 2018. Big data analytics: Computational intelligence techniques and
application areas. Technological Forecasting and Social Change.
Manogaran, G., Thota, C. and Lopez, D., 2018. Human-computer interaction with big data
analytics. In HCI challenges and privacy preservation in big data security (pp. 1-22). IGI
Global.
Nguyen, T. and et.al., 2018. Big data analytics in supply chain management: A state-of-the-art
literature review. Computers & Operations Research. 98. pp.254-264.
Pal, G., Li, G. and Atkinson, K., 2018, August. Big data real time ingestion and machine
learning. In 2018 IEEE Second International Conference on Data Stream Mining &
Processing (DSMP) (pp. 25-31). IEEE.