Impact of Big Data Analytics on Organizations

Capstone Project

Table of Contents
Title of the Capstone Project: “To analyse the impact of big data analytics on organisations.”
....................................................................................................................................................3
INTRODUCTION......................................................................................................................3
Objectives...................................................................................................................................3
To understand the concept and importance of big data analytics...........................................4
To determine the use of big data analytics in organisations...................................................5
To analyse the impact of big data analytics on organisations................................................6
Research Methodology ..............................................................................................................6
Project management plan:......................................................................................................8
Results & Discussions..............................................................................................................18
CONCLUSION........................................................................................................................19
REFERENCES.........................................................................................................................20
Books and Journals:..............................................................................................................20

Title of the Capstone Project: “To analyse the impact of big data analytics on
organisations.”
INTRODUCTION
In today’s business environment, big data analytics is becoming very important in an
organization as it helps them to harness their data and use it in an effective way for the
purpose of identifying new opportunities (Hariri, Fredericks and Bowers, 2019). Big data
analytics is not an easy process as it is a complex process that examines the big data in order
to uncover the information related to market trends, customer preferences, correlations,
hidden, etc. These all are very important for the purpose of making an informed business
decision. Organizations are using big data analytic systems and software so that day can able
to make data-driven decisions. It will lead to improvement the business-related outcomes.
There are many more benefits that will be discussed in this research report such as new
revenue opportunities, improved operational efficiency, customer personalization, etc. If
organizations are having an effective strategy these benefits will be providing a competitive
advantage to their rivals. This research report aims to analyse the impact of big data analytics
in organisation. It will use and effective research methodology which used for this report. It
will also discuss the benefits and impact of big data analytics.
The main purpose of conducting the present investigation is to showcase the
importance of big data analytics which is known as a complex procedure to examine big data
for uncovering significant data such as market trends, customer preferences, hidden patterns
and correlations. Basically examining these data help a company to make right decision.
Hence, this report carries out information about the systems and software of big data
analytics for making data-driven decisions that could ultimately improve business-related
results. Along with this it also covers the use of big data analytics and impact of big data
analytics on companies.
Objectives
 To understand the concept and importance of big data analytics.
 To determine the use of big data analytics in organisations.
 To analyse the impact of big data analytics on organisations.
Literature Review

To understand the concept and importance of big data analytics.
According to Ristevski and Chen, 2018, big data analytics is a complex process of
examining big data to uncover information regarding market trends, hidden pattern,
correlation and customer preference this information give help organisation taking decision.
Data analytic technology and technique give a way to analyse the data for the organisation. It
is a form of advance analytic and it includes complex applications with predictive models and
statically algorithms. Organisations use big data analytics for the software to make a data-
driven decision because this organisation can improve its decision and also improve business
outcomes. The benefit includes effective marketing, customer personalised information and
improve operational efficiency, new revenue opportunity. The effective strategy gives a
competitive advantage against rivals.
Big data work: Data analytics, statisticians, predictive modellers and professionals
collect and analyse the growing value of structured transaction data. Data professionals
collect data from different sources because of this it semi mixed and unstructured data. Each
organisation used different data from some common source. Some are here internet click
stream data, web server logs, mobile applications, social media content, mobile phone record,
text from customer email and survey responses and machine data collection by the sensor.
Data is cleaned and improved its quality and data quality tool. The collected and processed
data are cleaned by data analytic software.
Many different types of tools and technology support big data analytics. Common
technologies used for the big data analysis process include Hadoop which is an open-source
network that sorts and processes the big set. This technology handles a large amount of
unstructured data. Predictive analytics hardware and software which process large amounts of
data this machine is also additional function include its prediction power (Zhu and et.al.,
2018). Organisations use this analytic for Fraud detection, risk assessment and marketing
operation. Stream analytic tools use for filtering, aggregating and analysing big data that may
be stored and different formats. Distributed storage data is replicated nonrelated database. It
can be measured by independent node failure. NoSQL is a non-related data management
system it is beneficial when working with a large amount of data working they do not require
a fixed schema.
Big data analytics used internal and external sources it also includes weather data or
demographic data from third-party service providers. Organisations used big data analysis for

the massive big organization to antic its data. Big data analytics is deployed in the big
premises to set its data. Google and Microsoft use these big Data analyses to manage their
data.
To determine the use of big data analytics in organisations.
According to Mehta and Pandit, 2018, big data is the most valuable tool of any
company in modern times. A company much analyse big data and do effectively work and
take decisions according to the information. In the new era, big data analytics is the current
path to profit. Big data analytics is more objective than the older method company take
correct decisions by using big data analytics. There was a time the company can directly not
connect with the customer at one store. And there is no way to understand what customers
demand on a large scale. But now all changes when big data analytics come. Now companies
directly connect with customers and understand what they want. The company use big data
analytics to improve their position in the market.
The company use big data analytics to increase customer retention. No company stand
without a customer for attracting customer and retaining the customer is a necessary object
for the company. Big data analytics allows a company to observe the customer trend and
market their product specifically keeping the product in the customer's mind. Big data
analysis give result according to the customer's want and preference and the customer choose
the product which they like. And this is the best way to retain the customer by full filing its
demand as per own choice.
The company use big data for a marketing campaign. A great campaign can get a
customer for a company. If the campaign is not good loses its retain customer also because of
this big data analysis of customer base and understanding of what people want so that market
campaign is converting more people for their product. The company use big data for risk
management because they assess very big data and big data assesses the risk minimize as
much possible as. It easily assesses short data and long-term data for risk management
models.
The company use big data for supply chain handling it begins with the creation of raw
material and finishes with the product and ends with the hand of the customer. It is difficult
when companies are big so that time companies use big data to analyse raw materials,
products in the warehouse and retails understand product shipment. This will make supply
chain dandling easier which reduces the error and fewer losses for the company.

The company use big data for the creation of good because big data analytic customer
need and want so that they have enough detail for the new formation of the product. Big data
aim to create a product according to customer need and preference.
To analyse the impact of big data analytics on organisations.
Accoeing to the Wang, Kung, and Byrd, 2018, Big Data technologies support
organisation to store large volume of the information so that they can achieve their goals and
objectives and enabling significant cost advantages for the organisation. Apart from this these
kind of technologies engage more kind of analytics and handles and they support the
organisation to analyse the appropriate data and information so that they can improve their
decision-making. Apart from this also enhance the security level through which the
technology application can solve easy for the organisation to overcome the problems. Big
data has the potential in order to bring social and economic advantages to the organisation
and they’re different kind of government Agencies that formally different kind of policies
and structures so that they can promote the development of big data. It also helps the
organisation to enhance the focus on Advance and it takes and also support organisation to
Grab an attractive optimum value from the information. There are different types of factors
like financial services, details, e-commerce fields, manufacturing companies And the
telecommunication that using the big data analytics in order to install investing and optimise
your operation and manage the data traffic in an appropriate manner so that they can maintain
a better supply chain management in order to achieve their goals and objectives and improve
the productive company
Research Methodology
Then research methodology is the type of process that is very helpful for the organisation as
well as for the researcher in order to collect the data and engage the collection of the
information, documentation of the particular information that has been collected And
gathered by the investigator. The information which is gathered by the researcher in order to
achieve the goals and objectives of the company so that they can become more effective in
order to improve the capabilities of the company. This is the research that is needed different
kind of information which is very appropriate and more deep so that they can become more If