Week 5 secondary data exploration
Chapter 5 Chapter 5 Clarifying the Research Clarifying the Research Question through Secondary Question through Secondary Data and Exploration Data and Exploration McGraw-Hill/Irwin Copyright © 2011 by The McGraw-Hill Companies, Inc. All Rights Reserved.
Learning Objectives Learning Objectives Understand...
The purpose and process of exploratory research. The two types and three levels of management decision-related secondary sources.
The five types of external information and the
factors for evaluating the value of a source and
its content.Learning Objectives Learning Objectives Understand . . .
The process of using exploratory research to understand the management dilemma and work
through the stages of analysis necessary to
formulate the research question (and, ultimately, investigative questions and measurement questions).What is involved in internal data mining and how internal data-mining techniques differ from literature searches.
Clarifying the Research Question Clarifying the Research Question Reduces Information Overload Reduces Information Overload
“Companies are certainly aware of data mining, but most companies are not making effective use of the data collected. They are not so good at analyzing it or applying these insights to the business.”
Gregory Piatetsky-Shapiro president Kdnuggets
PulsePoint: PulsePoint: Research Revelation Research Revelation The percent of financial executives who have full confidence in their current risk strategies.
33
Exploratory Phase Exploratory Phase Search Strategy Search Strategy
Search Strategy Discovery/ Analysis Secondary Sources
Individual
Depth Interviews
Expert InterviewGroup Discussions
Integration of Secondary Data Integration of Secondary Data into the Research Process into the Research Process
Objectives of Secondary Objectives of Secondary Searches Searches
- Expand understanding of management
dilemma
- Gather background information
- Identify information to gather
- Identify sources for and actual questions
- Identify sources for and actual sample
frames
Conducting a Conducting a Literature Search Literature Search
Define management dilemma Define management dilemma Consult books for relevant terms Consult books for relevant terms Use terms to search Use terms to search
Locate/review secondary sources
Locate/review secondary sources
Evaluate value of each source Evaluate value of each source and content and contentWhiteboard technology makes an easier discussion of symptoms relevant to the management-research question hierarchy
Levels of Information Levels of Information
Primary Sources:
Memos Letters
Interviews Speeches
Laws Internal records
Secondary
Sources:
Encyclopedias Textbooks
Handbooks Magazines
Newspapers Newscasts
Tertiary Sources:
Indexes Bibliographies
Internet search engines
Integrating Secondary Data Integrating Secondary Data
U.S. Government is the The source of data world’s largest
Information Sources Information Sources Encyclopedias
Directories Directories
Handbooks Handbooks
Types
TypesIndexes/ Bibliographies
Dictionaries Dictionaries
Evaluating Information Sources Evaluating Information Sources Authority
Format Format
Audience Audience
Evaluation
Factors
Evaluation FactorsPurpose Scope
Scope
The Evolution of Data Mining The Evolution of Data Mining
Evolutionary Step Investigative Question Enabling Technologies Characteristics Data collection (1960s) “What was my average total revenue
Data access (1980s) “What were unit sales over the last five years?” Computers, tapes, disks Retrospective, static data delivery in California last December?” Relational databases (RDBMS), structured query language (SQL), ODBC Retrospective, dynamic data delivery at record level Data navigation (1990s) “What were unit sales in California last December? Drill down to Sacramento.” Online analytic processing (OLAP), multidimensional databases, data warehouses Retrospective, dynamic data delivery at multiple levels Data mining (2000) “What’s likely to happen to Sacramento unit sales next month? Why?” Advanced algorithms, multiprocessor computers, massive databases Prospective, proactive information delivery
Data Mining in Business Data Mining in Business
Data-Mining Process Data-Mining Process
Business Research Process Business Research Process
Stage 1: Clarifying the Research Stage 1: Clarifying the Research Question Question
Management-research question hierarchy begins by
identifying the management dilemmaManagement-Research Question Management-Research Question Hierarchy Hierarchy
SalePro’s Hierarchy SalePro’s Hierarchy
Formulating the Formulating the Research Question Research Question
Types of Types of Management Questions Management Questions
The Research Question The Research Question
Determine necessary evidence Determine necessary evidence
Set scope of study Set scope of study
Examine variables Examine variables
Break questions down Break questions down
Evaluate
hypotheses Evaluate hypothesesFine-Tuning Fine-Tuning
Investigative Questions Investigative Questions Performance Considerations
Performance Considerations Attitudinal Issues
Attitudinal Issues Behavioral Issues
Behavioral Issues
Harris Interactive
answers “Why?”
for its research
clientsGantt Chart Gantt Chart
MindWriter Project Plan
Key Terms Key Terms
Investigative questions Bibliography Literature search Bibliographic Database Management question Data Mart Measurement question Data Mining- – Custom-designed Data Visualization – Predesigned Data Warehouse Primary sources Dictionary Research questions Directory Secondary sources Encyclopedia Source evaluation Expert interview
- – Purpose Exploratory research – Authority – Scope Handbook – Audience Index – Format Individual depth interview Tertiary sources
Appendix Appendix 5a 5a
Bibliographic Bibliographic
Database Searches Database Searches
Appendices Appendices 5b 5b
Advanced Searches Advanced Searches
Searching Databases vs. the Searching Databases vs. the Web Web
Advanced Searching Process Advanced Searching Process
Review of Advanced Search Review of Advanced Search Options Options