Analyzing Big Data: Data Insights and Business Decision Strategies

This report provides an overview of big data technology and its impact on business decisions. It discusses the characteristics of big data, including volume, variety, and velocity, and the challenges associated with its analytics, such as data integration, complexity, and security. The report also examines various analytics and techniques, including data mining, and their application in managing and leveraging data for customer engagement and improved business processes. The conclusion emphasizes the importance of big data technology for organizations in managing large data volumes effectively. References to various academic works are included to support the analysis.

DATA INSIGHTS FOR BUSINESS
DECISIONS

TABLE OF CONTENTS
 Introduction
 Brief over view of Big Data
 Characteristics of Big Data
 Challenges of Big data
 Analytics and Techniques
 Continue
 References

INTRODUCTION
Big data Technology is considered to be one of the most largest set
of data expertise helps in making best for business. It is important
and compulsory for business to have big data technology in order
to sustain within the market place for longer time. The company
has to develop good software for handling major operations which
is related to storage of data and securing it.

BRIEF OVERVIEW OF BIG
DATA
In modern world bid data
technology has been emerging
in fast and effective manner
which has impacted IT industry
in more effective manner. Some
example of big data
technologies are Hadoop, Spark,
NO-SQL, Hive and Cloud.

CONTINUE
 There are majorly two types of big data technologies that are
operations and analytical big data technology.
 This is main work of IT department within an organization making
analysis and storing of big data possible in precise manner to make
operations performed in effective manner.
 Big data technology is also helpful in increasing the level of safe
operations which are essential for a business to develop big data
related operations. The big data technology is considered as major
step which is essential for protecting crucial data related to
customers.

CHARACTERISTICS OF BIG
DATA
 Volume of data- In general
case scenarios important part
for organization which makes
development done in precise
approach handling data on
larger scale.
 Big data volume is large and
number of consumer is high in
relation to multinational and
national companies.

CONTINUE
 Variety of data- There are
different data which immense
in case of big data technology
required to be maintained in
more effective manner that
includes category of data.

CONTINUE
 Velocity of data- This is
considered to be speed of data
which is transferred from one
source to another. In modern
time velocity of data has helped
in managing advancement
within the software like
HADOP, HPCC in relation to
various business activities.

CHALLENGES OF BIG DATA
ANALYTICS
 Data integration- In the
management of big data
technology integration is
considered as one of the major
challenge. Further data
integration has an important
role played within managing of
data through large sources.

CONTINUE
 Data complexity- In order to
handle complexity it is required
to overcome several issues and
practices. The data is complex
and has rigidity within cases
making hard for researcher to
handle data

CONTINUE
 Data security- Main challenge
faced with the data scrutiny is data
security. It is used in making data
handled in secured banner that
helps in managing data security in
more effective manner.
 In Modern World Technology
fraudulent attacks take place which
implants Malware and spyware
within the software of an
organisation.

ANALYTICS AND
TECHNIQUES Data mining: The most common
tool that is used within the
business to handle Big Data
Analytics. Cells and maintaining extract
patterns from large data sets
mining method is used in the form
of statistics which has to develop
database management file making
machine learning possible.