Report on Introduction 2022

INTRODUCTION
According to the importance of business intelligence, today in this report I’m going to talk in
detail about business processes, supporting processes, different types of data, tools and
techniques with their functions, and lastly, implementing this by evaluating real-life examples.
1.1 BUSINESS PROCESS
A business process is a collection of business tasks and activities that, when carried out in an
orderly manner by people or systems, produce a result that helps the organization achieve its
goals. A business process includes at least one of, but not limited to, the
following elements (Gaikwad, n.d.):
THE IMPORTANCE OF BUSINESS PROCESS
In large firms, the value and benefits of a business process are obvious. Procedures are the
lifeblood of any company, allowing it to optimize individual activities and optimum resource use
(kissflow process, 2021).
Reasons of why a business process is required in the organization
(kissflow process, 2021)
 A company's most important asset is its business operations.
 A company's infrastructure is built to support its operations, staff, and technology.
 Business processes are the sole way for all stakeholders in an organization, including
suppliers and customers, to interact and trade products and services.
Task /
activity System Employee(s) Workflow Data
Business process
Business Steps Business objectives Stakeholders

Business process examples
Processes vary depending on the size, industry, location, and other characteristics of a company,
but there are a few that are employed globally in all of these areas. To assist you comprehend,
we'll look at some examples of such processes (Gaikwad, n.d.).
Advantages and disadvantages of business process
(Girard, 2017)
Procedure
for
selling
Customer
service
Procedure
for hiring
Procedure
of
invoicing
Market
research
process
Procedure
for
accounting
Advantages
A documented business process ensures
that everyone involved in the process
follows the same set of procedures.
A business method cuts the amount of
time it takes to train new personnel.
Managers can focus on exceptions instead of
dealing with day-to-day operational concerns
when they use a business process
Disadvantages
A disadvantage of a
standard business
process is that people
who are part of it may
feel they don't have
enough freedom to
execute their jobs in their
own style.

Characteristics for business process
(Bhasin, 2020)
 Boundaries, inputs, and outputs are all defined.
 Has a list of activities that are arranged in a specific order.
 How to Provide the best of Customer Service
 How to Add Value for the Customer
 Organizational Processes Embedded
 It covers a variety of functions.
Support process
Is carried out to ensure that items and processes adhere to established requirements and plans, as
well as to maintain the integrity of the product or service produced by "primary processes."
Supporting processes are those that work in tandem with the "primary processes," and while they
don't normally result in the organization's final product, they do contribute indirectly to the value
generated. Documentation, configuration management, verification, training, and auditing are
some of the supporting procedures (igi global, n.d.).
Importance of supporting process
Organizations' ability to perform core processes efficiently is directly influenced by support
processes, which can be crucial and strategic (viewpoint, n.d.).
Examples of supporting process
(viewpoint, n.d.)
Administration
of a call center
Administration
of the facility
Issues of the law
Information
technology
Finance Human resource
services

Advantages and disadvantages of supporting process
(slidetodoc, n.d.) (Juneja, 2015)
Characteristics for supporting process
Applying the supporting processes helps to provide the necessary activities and concepts for
practical fields as well as other categories. In addition, it supports data management processes
with approval and continuous maintenance, thus supporting processes measure the effectiveness
of these processes in developing business products. Moreover, it helps to ensure the quality of
operations by constantly looking for improvements in the implementation of operations, also
selection of the best practices, policies and procedures for business.
1.2 THE TYPES OF DATA
Advantages
The capacity to look into
more options
The ability to react
quickly in the face of
unforeseen circumstances
The capacity to gain a
deeper grasp of the
company's operations
Disadvantages
Overwhelming
Data
Subjectivity is
being undervalued
The cost of
development is
high.
Unstructured Semi-structured
Structured

Unstructured data
Is information that is not organized according to a pre-determined data model or schema and
hence cannot be kept in a standard relational database or relational database management system
(RDBMS) (mongodb, n.d.).
Examples of Unstructured data
(mongodb, n.d.)
Unstructured data can be produced by humans or by machines.
A few examples of human-created diversity:
 Mobile and communications data: Chat, phone recordings, instant Messaging, text
messages, collaboration software.
 Websites and social media: Data gathered from social media sites such as Twitter,
LinkedIn, and Facebook, as well as websites like Instagram, photo-sharing sites, and
YouTube.
 Email: Traditional analytics systems cannot parse email message fields because they are
unstructured. Email metadata, on the other hand, gives it some structure, which is why it's
frequently referred to as semi-structured data.
 Media: Digital photos, audio, and video files.
 Files in text format: Word processing documents, spreadsheets, presentations, email,
and log files all fall within this category.
A few instances of machine-generated unstructured data:
 Digital sureveillance: Photos and videos of reconnaissance.
 Satellite imagery: Weather information, topography, and military movements.
 Scientific data: Surveys for oil and gas, space research, seismic images, and atmospheric
data.

Semi-structured data
Semi-structured data is defined as data that cannot be arranged in relational databases or that
does not have a rigorous structural framework but has certain structural qualities or a loose
organizational framework. Semi-structured data contains text that is grouped by subject or
topic or fits into a hierarchical programming language, but the text itself is unstructured
(Wolff, 2020).
Examples of Semi-structured
Semi-structured data is available in a number of different forms, each with its own set of
applications. Some are scarcely organized at all, while others have a hierarchical structure that is
rather advanced (Wolff, 2020).
Examples:
1. Email
2. CSV, XML and JSON documents
3. NoSQL databases
4. HTML
5. Electronic data interchange (EDI)
6. RDF
Structured data
When data is in a standardized format, has a well-defined structure, conforms to a data model,
follows a permanent order, and is easily accessible by people and programs, it is referred to be
structured data. In most cases, this data type is kept in a database (tibco, n.d.).
Examples of Structured data
Examples of structured data include names, dates, addresses, credit card numbers, stock
information, geolocation, and more (Pickell, 2018).

Comparison for all types of data
(Wolff, 2020)
1.3 WHAT IS SOFTWARE
A set of instructions, data, or programs used to control a computer and perform specified
activities is known as software. Simply simply, software instructs a computer on how to operate.
It's a catch-all phrase for apps, scripts, and programs that operate on computers, mobile phones,
tablets, and other smart devices. Hardware, on the other hand, refers to the physical components
of a computer that do the job (Braden, 2021).
Why we are using software for business purposes
The software's use is critical for automating the organization's duties as well as reporting on the
progress or delays in the operations. This increases the efficiency and efficacy of the business's
operations. The program automates processes and decreases workload. It also aids with the
removal of human mistakes, resulting in increased efficiency and uniformity (landmark, n.d.).
Structured Data
Often numbers or labels,
stored in a structured
framework of columns
and rows relating to pre-
set parameters
Databases use ID codes.
Numerical information
Sheets on Google
Star ratings
Semi-structured Data
Textual data files with
an apparent pattern,
enabling analysis
Email
XML files
Spreadsheets
Unstructured Data
Text-heavy information
that's not organized in a
clearly defined
framework or model.
Videos, Images
Online reviews, Media
posts,Emails
Sounds, Speech