secondary data research reference: zikmund, chapter 7
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King Fahd University of Petroleum & Minerals Department of Management and Marketing MKT 345 Marketing Research Dr. Alhassan G. Abdul-Muhmin. Secondary Data Research Reference: Zikmund, Chapter 7. Learning Objectives. At the end of the discussion you should be able to: - PowerPoint PPT PresentationTRANSCRIPT
King Fahd University of Petroleum & MineralsDepartment of Management and Marketing
MKT 345 Marketing ResearchDr. Alhassan G. Abdul-Muhmin
Secondary Data Research Reference: Zikmund, Chapter 7
Learning Objectives
At the end of the discussion you should be able to:1. Define secondary data and distinguish it from
primary data2. Explain the advantages and disadvantages of
secondary data3. List and explain the various uses of secondary
data in marketing research4. Identify the possible internal sources of
secondary data5. Identify the possible external sources of
secondary data generally, and specifically in Saudi Arabia
Secondary Data
• Data gathered and recorded by someone else prior to, and for a purpose other than the current research project.
• Usually historical and requires no direct access to respondents or subjects
Advantages of Secondary Data
1. Easy availability – Secondary is easily available from a wide variety of sources
2. Faster to collect – Compared to primary data, secondary data can generally be collected faster suitable for projects with time constraints
3. Cheaper to collect – Secondary data is generally cheaper to collect than primary data
Disadvantages of Secondary Data
1. Currency - Available information may be outdated and not suitable for our needs
2. Suitability of Units of Measurement - Units of measurement may not match needs of the current project Data conversion may be necessary
3. Suitability of Terminology - Terminology used to describe the data may be defined differently than needed for the current project
4. Lack of Control – Researcher has no control over accuracy of the data Need for cross-checks and cross verification
Evaluation of Secondary Data
• Often secondary data needs to be evaluated to determine its suitability for the current project.
• Common evaluation Criteria1. Applicability of the data to objectives of the current project
in terms of:• Relevance to current project’s problem definition• Applicability of time period • Applicability to relevant population• Applicability of terminology and variable classifications• Applicability of units of measurement•
2. Accuracy of the data • Possibility of bias• Verification of accuracy of data collection• Cross-validation from original source
Uses of Secondary Data
1. In exploratory research to understand the background and nature of marketing problems, define research problem, and formulate hypotheses for testing
2. Fact-finding (descriptive research)– Identification of industry characteristics– Identification of consumer behavior for a product
category– Trend analysis– Environmental scanning
Using Secondary Data in Fact-Finding
Using Secondary Data in Fact-Finding
Uses of Secondary Data
3. Model Building e.g.1. Estimating geographic market potentials
2. Forecasting (a) environmental forecasting (b) sales forecasting
3. Analysis of Trade Areas and Sites
4. Database Marketing - marketing activities that are based on maintaining customer databases with customers' names, addresses, phone numbers, past purchases, demographic information, etc
Forecasting - Linear Trend Extrapolation
Figure 6.1 Trends and Projection of Total Ad Spending in Arabic Papers
y = 49,417,886.49x + 260,000,000.00
R 2 = 0.97
0
200,000,000
400,000,000
600,000,000
800,000,000
1,000,000,000
1,200,000,000
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999
Year
SR
Forecasting - Nonlinear Trend Extrapolation
Figure 6.2 Trend & Projection of Total Ad Spending in English Language Newspapers
y = 7,820,646.93Ln(x) + 39,269,945.73
R2 = 0.53
0
10000000
20000000
30000000
40000000
50000000
60000000
70000000
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999
Year
SR
Oil Prices, Government Revenues, And Construction Activity
1 Year
2
Average Brent Crude Price
($/Barrel)
3
Average Saudi Oil
Price ($/Barrel)
4
Govt. Budget
Revenues (billion
SR)
5
Number of
Building Permits Issued
6
Total Floor Area (mill. m2)
7 Total
Length of Boundary
Walls (mill. L.
M.)
8
Value of Construction
Contracts Awarded
(billion SR) 1990 23.61 20.61 1991 20.06 16.73 30,720 18,282 1992 19.33 16.75 46,136 33,884 1993 17.00 14.30 55,689 40,673 1994 15.80 14.09 129.0 72,620 51,594 6,590 3,556 1995 17.01 15.50 146.5 43,733 29,901 4,089 11,764 1996 20.07 19.20 179.1 29,872 24,062 3,498 2,247 1997 19.06 17.70 204.4 29,044 21,822 2,702 1,853 1998 12.71 10.50 143.0 27,408 21,496 4,184 2,930 1999 121.0
NOTES: a) Columns 2-4, and column 8 are taken from a 1998 study by the National Commercial
Bank titled “The Saudi Construction Sector: Outlook for 1999” b) Columns 5-7 are derived from “The Statistical Yearbook” published by the Ministry
of Planning
Forecasting - Regression
Forecasting - Regression
Contract Awards (t) = 0.351 Permits Issued at t-1 + 1477 Oil Price at (t-1) – 35614
R-square = 0.85
Contract Awards (t) = 0.191 Permits Issued at (t-1) – 4347
R-square = 0.72
Sources of Secondary Data
1. Internal and proprietary sources
2. External sources1. Producers of secondary data
2. Distributors of secondary data
Internal Sources of Secondary Data
• Accounting system, routine company documents, Salespeople’s call reports, Customer complaints, Customer service records, Warranty return cards, etc
• Often used in data mining projects (the use of computers to dig through volumes of data to discover patterns). Applications include:
• Market basket analysis - analyzing anonymous point-of-sale transactions to identify coinciding purchases or relationships between products purchased and other retail information.
• Customer discovery - data mining to discover customer segments (e.g. loyal vs. non-loyal)
• Sequence discovery - mining data to detect patterns in customer purchase sequences
External Sources - Producers
1. Publishers of books and periodicals2. Government departments3. Media 4. Trade associations5. Commercial establishments two types of which are:
– Single-source data providers, and– Specialized data providers
• Examples of Types of Data Provided:– Market share data– Demographic and census updates– Consumer attitude and public opinion research– Consumption and purchase behavior data– Advertising research, etc
External Sources - Distributors
1. The Internet
2. Libraries
3. Commercial vendors
Selected Sources of Secondary Data in Saudi Arabia
1. Government Ministries and Departments e.g. the Central Department of Statistics, Ministry of Planning collects and compiles data from most government departments
2. Chambers of Commerce3. Saudi Arabian Monetary Agency (SAMA) – Banking
and financial statistics4. Annual reports of companies listed on the stock
exchange5. Commercial research suppliers, e.g. Amer Research,
Pan-Arab Research Center.