WELCOME
SECONDARY DATA
PRESENTED
BY-
MANISH
16104001
MBA,
finance(P)
What is secondary data?
It refers to data that that was collected by
someone other than the user. Common
sources of secondary data for social science
include censuses, information collected by
government dept’s, organisational records
and data that was originally collected for
other research purposes.
PURPOSE OF SECONDARY DATA
•Extracting the relevant information from other
sources, previous studies.
•Fact findings: descriptive information to support
research
•Model building: specifying relationship between
two or more variables
•Data mining: exploring data through computer.
Using computer technology to go through volumes
of data to discover trends about an organisation’s
sales customers and products
CRITERIA FOR EVALUATING SECONDARY DATA
•Specifications: methodology used to collect the
data.
•Error: accuracy of the data
•Currency: when the data were collected
•Objectives: the purpose for which the data were
collected
•Nature: the content of the data
•Dependability: overall, how dependable are the
data
ADVANTGES OF SECONDARY DATA
It is economical. It saves efforts & expenses.
It is time saving.
It helps to make primary data collection more
specific since with the help of secondary data.
It helps to improve the understanding of the
problem.
It provides a basis for comparison for the data
that is collected by the researcher.
DISADVANTAGES OF SECONDARY DATA
Secondary data is something that seldom
fits in the frame work of marketing research
factors. Reasons for its non fitting are-
a) Unit of secondary data collection- suppose
you want information on disposable income,
but the data is available on gross income. The
information may not be same as we require.
Accuracy of secondary data is not known.
Data may be outdated(one can only hope
that the data is of good quality).
USES OF SECONDARY DATA
•Identify the problem
•Better define the problem
•Develop an approach to the problem
•Formulate an appropriate research design
•Answer certain research questions and test
some hypothesis
•Interpret primary data more insightfully
THANK YOU

SECONDARY DATA

  • 1.
  • 2.
  • 3.
    What is secondarydata? It refers to data that that was collected by someone other than the user. Common sources of secondary data for social science include censuses, information collected by government dept’s, organisational records and data that was originally collected for other research purposes.
  • 4.
    PURPOSE OF SECONDARYDATA •Extracting the relevant information from other sources, previous studies. •Fact findings: descriptive information to support research •Model building: specifying relationship between two or more variables •Data mining: exploring data through computer. Using computer technology to go through volumes of data to discover trends about an organisation’s sales customers and products
  • 7.
    CRITERIA FOR EVALUATINGSECONDARY DATA •Specifications: methodology used to collect the data. •Error: accuracy of the data •Currency: when the data were collected •Objectives: the purpose for which the data were collected •Nature: the content of the data •Dependability: overall, how dependable are the data
  • 8.
    ADVANTGES OF SECONDARYDATA It is economical. It saves efforts & expenses. It is time saving. It helps to make primary data collection more specific since with the help of secondary data. It helps to improve the understanding of the problem. It provides a basis for comparison for the data that is collected by the researcher.
  • 9.
    DISADVANTAGES OF SECONDARYDATA Secondary data is something that seldom fits in the frame work of marketing research factors. Reasons for its non fitting are- a) Unit of secondary data collection- suppose you want information on disposable income, but the data is available on gross income. The information may not be same as we require. Accuracy of secondary data is not known. Data may be outdated(one can only hope that the data is of good quality).
  • 10.
    USES OF SECONDARYDATA •Identify the problem •Better define the problem •Develop an approach to the problem •Formulate an appropriate research design •Answer certain research questions and test some hypothesis •Interpret primary data more insightfully
  • 11.