Gc hucghihihihibkbkb

1. UNIVERSITY SCHOOL OF MANAGEMENT
Business research methology
SUBMITTED BY:
VASU ARORA(Roll no. 17)
CLASS:- MBA PREVIOUS ( Sec A)
KURUKSHETRA UNIVERSITY , KURUKSHETRA

2. SOURCESOF DATA

3. MEANINGOF DATA
Data is a collection of facts, information, and statistics and this can
be in various forms such as numbers, text, sound, images, or
any other format.

4. DATASOURCES
 PRIMARY SOURCE
 SECONDARY SOURCE

5. PRIMARYSOURCE
Primary sources are original materials or data
that provide firsthand evidence or direct
testimony about a topic. These sources are
created at the time of the event or by people who
experienced or witnessed it.

6. Original Documents: Letters, diaries,
speeches, manuscripts, official records,
and autobiographies.
Research Data: Surveys,
experiments, observations,
interviews, and fieldwork.
Creative Works: Artwork,
literature, music, films, and
photographs.
Author
EXAMPLESOF PRIMARY
SOURCE

7. SECONDARYSOURCE
Secondary sources are interpretations or
analyses of primary sources. They are created
after the fact by someone who did not directly
participate in the event or produce the original
material.

8. THE FIRST

9. SECONDARYDATA
 INTERNAL SOURCE
 EXTERNAL SOURCE

10. INTERNALDATASOURCES
Customer Data
Customer information, purchase histories,
feedback, and interactions stored in CRM
systems and databases.
Financial Records
Accounting data, budgets, invoices, and other
financial documentation maintained by the
organization.
Employee Data
HR records, payroll information, skills
assessments, and performance reviews for
the company's workforce.
Operations Data
Production data, inventory levels, supply chain
information, and other operational metrics
tracked by the business.

11. EXTERNALDATASOURCES
Open Data
Public datasets released by governments,
NGOs, and other organizations provide a
wealth of information for analysis and insights.
Industry Data
Commercial data providers offer specialized
datasets specific to industries, markets, and
business activities.
Social Media
User-generated content on social platforms
can reveal consumer trends, sentiment, and
behavioral patterns.
Web Scraping
Extracting data from websites can uncover
valuable competitive intelligence and market
insights.

12. STRUCTUREDDATA
Databases
Structured data is
typically stored in
relational databases,
with data organized
into tables, rows, and
columns.
Spreadsheets
Spreadsheet software
like Excel is another
common way to store
and manage
structured data in a
tabular format.
Data Schemas
Structured data has a
defined schema that
describes the data's
organization, including
data types,
relationships, and
constraints.
Querying
Structured data can
be efficiently queried
using languages like
SQL to extract, filter,
and analyze the
information.

13. UNSTRUCTUREDDATA
Text Data
Emails, social media
posts, articles, and
other written content
that lacks a predefined
structure or schema.
Visual Data
Images, videos, and
other multimedia
content that provide
valuable insights but
are difficult to analyze
systematically.
Audio Data
Voice recordings,
podcasts, and other
audio files that capture
spoken information
and interactions.
Sensor Data
Data from IoT devices,
industrial machinery,
and environmental
sensors that provide
real-time insights but
may lack structure.

14. REFERENCES
BUSINESS RESEARCH METHODS:- DONALD R COOPER &
PAMELA S SCHINDLER
YOUTUBE
GOOGLE PHOTOS

15. THANKYOU