Analyzing the Role of Big Data Compared to Traditional Data Analytics

This presentation provides a comprehensive analysis of the role of big data in contrast to traditional analytics, emphasizing the key differences in data architecture, volume, types, schema, accuracy, and confidentiality. It explores how these differences impact decision-making processes and performance measurement within organizations. Big data offers more accurate and quicker decision-making capabilities by analyzing larger volumes of structured, semi-structured, and unstructured data. The presentation concludes that big data is more beneficial for modern companies, enabling them to make informed decisions based on complex data analysis, ensuring survival and competitiveness in the market. The presentation references several academic and professional sources to support its analysis.

MANAGEMENT
ACCOUNTING
What is the role of big data
compared with the analytics that
were used in the past?

INTRODUCTION
 This PowerPoint presentation talks about role
of big data in the organization with the
analytics that was used in the past.
 The major differences between the both are
elaborated in the presentation with their
impact on decision making and measuring the
performance of the business.

BIG DATA AND TRADITIONAL
ANALYTICS
 Big data is refers to as a set of data that are
complex in nature.
 The traditional data analytics processing
software is inadequate to be used at the place
of big data.
 Big data system supports the managers of
organisation which helps them to know more
about the business and convert the knowledge
in improved decision making and performance.
 This is the reason that most of the companies
are switching from traditional analytics to big
data. For example- Amazon, Google, and many
others.

CONTINUE…
 This reflects that there are numerous
variances between both traditional analytics
processing and big data.

KEY DIFFERENCES: BIG DATA AND
PAST ANALYTICS
Some of the variances between
the big data and past analytics
are discussed below: -
 Data architecture
 Volume of data
 Types of data
 Data Schema
 Accuracy and confidentiality

DATA ARCHITECTURE
 Traditional data analytics make use of the
centralised database agriculture for solving
the complex problems with the help of the
single computer.
 On the other hand, big data system is
created on the dispersed database structural
design where a large mass of records gets
resolved. This system divides the data into
several smaller sizes for solving data issues.

VOLUME OF DATA
 The company are able
to store small amount of
records.
 This shows that volume
of data is small (range
from gigabytes-
terabytes).
 On the other hand, big
data provide support in
storing and processing
large amount of records
(terabytes or
petabytes).

TYPES OF DATA
 Traditional database systems are
created on the structured records
or information.
 This means that record is stored
in the fixed format.
 One of the example of
unstructured data is Relational
Database System (RDBMS)
 On the other hand, big data
makes use of semi-structured
and unstructured data.
 This improves the records
gathering from customers,
subscribers and audience.

DATA SCHEMA
 The major difference lies in the data schema,
as traditional analytics system is formed on
fixed schema of data.
 This system is considered as static in nature.
 Big data is different than traditional database
because it includes the dynamic schema for
storing the data.

ACCURACY AND CONFIDENTIALITY
 The past analytics is expensive for storing
the large amount of data which reduce the
amount of data that is essential to analyse
and will also results in decrease in accuracy
and confidence.
 In big data, there is low voluminous data that
is required due to which the system of big
data with the points of correlations is
identified which offer the highly accurate
results.

BIG DATA AND TRADITIONAL ANALYTICS
IMPACTS DIFFERENTLY ON DECISION
MAKING AND MEASURING
PERFORMANCE
 Big data and Traditional analytics impacts
differently on decision making and
measuring performance

ACCURACY AND SOLUTION TO
PROBLEMS
 Big data provide the more accurate and
confidential support to the organisation
which is not present in the traditional
system.
 The traditional database only affords to
resolve the problem that takes place in the
organisation.
 In this aspect, big data impact is major
because it provides the solution of big as well
as small problems.