data collection primary and secondary

data collection primary and secondary

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  SUBMITTED TO:- SUBMITTEDBY:- DR. KHUJAN SINGH AMARJEET 15103046 M.COM ( P ) DATA COLLECTION PRIMARY & SECONDARY
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  INTRODUCTION  Data collectionis a term used to describe a process of preparing and collecting data  Systematic gathering of data for a particular purpose from various sources, that has been systematically observed, recorded, organized.  Data are the basic inputs to any decision making process in business
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  PURPOSE OF DATACOLLECTION  The purpose of data collection is-  to obtain information  to keep on record  to make decisions about important issues, to pass information on to others
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  CLASSIFICATION OF DATA TYPES PRIMARY DATA SECONDARY DATA
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  PRIMARY DATA  Thedata which are collected from the field under the control and supervision of an investigator  Primary data means original data that has been collected specially for the purpose in mind  This type of data are generally afresh and collected for the first time  It is useful for current studies as well as for future studies  For example: your own questionnaire.
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  Primary Research Methods& Techniques Surveys  Personal interview (intercepts)  Mail  In-house, self- administered  Telephone, fax, e-mail, Web Quantitative Data Primary Research Experiments Mechanical observation Simulation Qualitative Data Case studies Human observation Individual depth interviews Focus groups
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  Primary Research Categories Quantitative Research Numerical Statistically reliable Projectable to a broader population
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  Quantitative Research Categories Sampling Methods:  Random Samples – equal chance of anyone being picked  May select those not in the target group – indiscriminate  Sample sizes may need to be Large to be representative  Can be very expensive
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  Quantitative Research Categories Stratified or Segment Random Sampling Samples on the basis of a representative strata or segment Still random but more focussed May give more relevant information May be more cost effective
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  Quantitative Research Categories Quota Sampling  Again – by segment  Not randomly selected  Specific number on each segment are interviewed, etc.  May not be fully representative  Cheaper method
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  Qualitative Research Categories Qualitative Research In-depth, insight generating Non-numerical ‘Directional’  Common Techniques Personal interviews (depth, one-on- one) Focus groups (8-12) and mini-groups (3-6)
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  METHODS  OBSERVATION METHOD Throughpersonal observation  PERSONAL INTERVIEW Through Questionnaire  TELEPHONE INTERVIEW Through Call outcomes, Call timings  MAIL SURVEY Through Mailed Questionnaire
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  SECONDARY DATA  Datagathered and recorded by someone else prior to and for a purpose other than the current project  Secondary data is data that has been collected for another purpose.  It involves less cost, time and effort  Secondary data is data that is being reused. Usually in a different context.  For example: data from a book.
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  SOURCES  INTERNAL SOURCES Internalsources of secondary data are usually for marketing application-  Sales Records Marketing Activity Cost Information Distributor reports and feedback Customer feedback
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  SOURCES  EXTERNAL SOURCES Externalsources of secondary data are usually for Financial application- Journals Books Magazines Newspaper Libraries The Internet
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  Advantages & Disadvantagesof Primary Data  Advantages  Targeted Issues are addressed  Data interpretation is better  Efficient Spending for Information  Decency of Data  Proprietary Issues  Addresses Specific Research Issues  Greater Control
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  Advantages & Disadvantagesof Primary Data  Disadvantages  High Cost  Time Consuming  Inaccurate Feed-backs  More number of resources is required
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  Advantages & Disadvantagesof Secondary Data  Advantages  Ease of Access  Low Cost to Acquire  Clarification of Research Question  May Answer Research Question
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  Disadvantages & Disadvantagesof Secondary Data  Disadvantages  Quality of Research  Not Specific to Researcher’s Needs  Incomplete Information  Not Timely