chapter 8 secondary data research
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MKTG 3808TRANSCRIPT
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SECONDARY DATA RESEARCH IN A DIGITAL AGE
Chapter 8
8–1
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LEARNING OUTCOMESLEARNING OUTCOMES
1. Discuss the advantages and disadvantages of secondary data
2. Define types of secondary data analysis conducted by business research managers
3. Identify various internal and proprietary sources of secondary data
4. Give examples of various external sources of secondary data
5. Describe the impact of single-source data and globalization on secondary data research 8–2
After studying this chapter, you should be able to
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Secondary Data Research• Secondary Data
• Data gathered and recorded by someone else prior to and for a purpose other than the current project.
8–3
• Advantages Available Faster and less expensive
than acquiring primary data
Requires no access to subjects
Inexpensive—government data is often free
May provide information otherwise not accessible
• Disadvantages Uncertain accuracy Data not consistent with
needs Inappropriate units of
measurement Time period inappropriate
(outdated)
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EXHIBIT 8.1 Evaluating Secondary Data
8–4
Is it possible to go to the original data source?
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Secondary Data Research (cont’d)• Data conversion
• The process of changing the original form of the data to a format suitable to achieve the research objective
• Also called data transformation
• Cross-checks• The comparison of data from one source with data from another
source to determine the similarity of independent projects.
8–5
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EXHIBIT 8.2 Common Research Objectives for Secondary-Data Studies
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Typical Objectives for Secondary-Data Research Designs• Fact Finding
• Identification of consumer behavior for a product category• Trend Analysis
• Market tracking—the observation and analysis of trends in industry volume and brand share over time.
• Environmental Scanning• Information gathering and fact-finding that is designed to detect
indications of environmental changes in their initial stages of development.
8–7
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EXHIBIT 8.3 Cola’s Share of the Carbonated Soft-Drink Market
8–8
Source: Theresa Howard, “Coca-Cola Hopes Taking New Path Leads to Success,” USA Today, March 6, 2001, p. 6b. From USA Today a division of Gannett Co., Inc. Reprinted with Permission.
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Model Building
8–9
Analysis of Trade Areas and Sites
Analysis of Trade Areas and Sites
Estimating Market Potential
Estimating Market Potential
ForecastingSales
ForecastingSales
ModelBuilding
ModelBuilding
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EXHIBIT 8.4 Market Potential for Beer in Four Countries
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EXHIBIT 8.5 Sales Forecast Using Secondary Data and Moving Averages
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EXHIBIT 8.6 Secondary Data for Calculating an Index of Retail Saturation
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Data Mining• Data Mining
• The use of powerful computers to dig through volumes of data to discover patterns about an organization’s customers and products; applies to many different forms of analysis.
• Neural Network• A form of artificial intelligence in which a computer is
programmed to mimic the way that human brains process information.
8–13
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Data Mining (cont’d)• Market-Basket Analysis
• A form of data mining that analyzes anonymous point-of-sale transaction databases to identify coinciding purchases or relationships between products purchased and other retail shopping information.
• Customer Discovery• Involves mining data to look for patterns identifying who is likely
to be a valuable customer.
8–14
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Database Marketing and Customer Relationship Management• Database Marketing
• The use of customer relationship management (CRM) databases to promote one-to-one relationships with customers and create precisely targeted promotions.
• The practice of maintaining a customer database of:• Names and addresses
• Past purchases
• Responses to past efforts
• Data from numerous other outside sources
8–15
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Sources of Internal Secondary Data• Internal and Proprietary Data
• Accounting information
• Sales information and backorders
• Customer complaints, service records, warranty card returns, and other records.
• Intranets
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External Secondary Data Sources• External Data
• Generated or recorded by an entity other than the researcher’s organization.
• Information as a product and its distribution• Libraries• Internet• Vendors• Producers
• Books and periodicals• Government• Media• Trade associations• Commercial sources
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EXHIBIT 8.7
Information as a Product and Its Distribution Channels
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Commercial Sources• Market-share data• Demographic and census updates• Consumer attitude and public opinion research• Consumption and purchase behavior data• Advertising research
8–19
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Single-Source and Global Research Data
• Single-Source Data• Diverse types of data offered by a single company.• Usually integrated on the basis of a common variable (i.e.,
geographic area or store).• Government Agencies
• Global secondary data• Typical limitations of secondary data• Additional pitfalls
• Unavailable in some countries• Questionable accuracy (political influences)• Lack of standardized research terminology
• CIA’s World Factbook; National Trade Data Bank
8–20
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EXHIBIT 8.9 Examples of Single-Source Databases
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Research Snapshot: Around the World of Data
8–22
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EXHIBIT 8.10 Examples of Information Contained in the NTDB
8–23
• Agricultural commodity production and trade
• Basic export information
• Calendars of trade fairs and exhibitions
• Capital markets and export financing
• Country reports on economic and social policies and trade practices
• Energy production, supply, and inventories
• Exchange rates
• Export licensing information
• Guides to doing business in foreign countries
• International trade terms directory
• How-to guides
• International trade regulations/agreements
• International trade agreements
• Labor, employment, and productivity
• Maritime and shipping information
• Market research reports
• Overseas contacts
• Overseas and domestic industry information
• Price indexes
• Small business information
• State exports
• State trade contacts
• Trade opportunities
• U.S. export regulations
• U.S. import and export statistics by country and commodity
• U.S. international transactions
• World Fact Book
• World minerals production