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Operational Data Tools Chapter Eight
Copyright © Houghton Mifflin Company. All rights reserved.8–28–2 Chapter Eight Learning Objectives To learn database basics and how databases benefit Internet marketing To understand how data warehouses and data mining are operational data tools To describe privacy-sensitive techniques used to develop consumer profiles To recognize the importance of the marketing intelligence process and how it is conducted online
Copyright © Houghton Mifflin Company. All rights reserved.8–38–3 Operational Data Tools and Databases Operational data tools - computer-based techniques used to learn about Own operations, web site, Internet activities Competitor's online activities Environment Customers - current, past, potential
Copyright © Houghton Mifflin Company. All rights reserved.8–48–4 Operational Data Tools and Databases (cont’d) Privacy advocates are incensed that Marketers collect masses of data Without consumer knowledge or consent Do not give consumers opportunity to edit own data New data tools used surreptitiously Collecting broader, more sensitive data
Copyright © Houghton Mifflin Company. All rights reserved.8–58–5 Operational Data Tools and Databases (cont’d) Should the Internet be … Opt-in –No data collected without subject’s approval –Ask before collect Opt-out –Must ask to be excluded from data collection –Cease collecting only on request
Copyright © Houghton Mifflin Company. All rights reserved.8–68–6 Operational Data Tools and Databases (cont’d) Databases - collection of data structured for computer retrieval Data - sets of text, numbers, other elements input into a database Marketing data –Demographic, transaction, lifestyle, behavioral, technical
Copyright © Houghton Mifflin Company. All rights reserved.8–78–7 Operational Data Tools and Databases (cont’d) Database - electronic file cabinet, process to retrieve data Database construction - involves information technology and marketing Relational databases - data stored in linked tables In-house databases –Own data Compiled databases –Purchased from other sources
Copyright © Houghton Mifflin Company. All rights reserved.8–88–8 Data Warehousing and Mining Data warehouse - electronic storage, extraction and management system Data mining - machine learning, knowledge discovery –Machine-driven methods –Looking for hidden patterns, relationships in databases and warehouses –Can answer “what if?” marketing questions
Copyright © Houghton Mifflin Company. All rights reserved.8–98–9 Collect and Apply Privacy-sensitive tools Cookies - small data files placed on user’s computer by web site’s server Bugs (beacons) - gif images placed by third- party media and research companies –Allow multi-party tracking Server log files Web analytics - software and people analyze collected data
Copyright © Houghton Mifflin Company. All rights reserved.8–10 Collect and Apply (cont’d) eCRM Electronic customer relationship management Broad strategy for applying data-derived knowledge to develop more effective marketing tactics Widely promoted; less widely adopted Costly, complex, often disappointing Dynamic web pages provide personalized content
Copyright © Houghton Mifflin Company. All rights reserved.8–11 Marketing Intelligence Process - system for collecting and transforming data Content - knowledge for marketing decision making Not espionage! Legal, ethical collection of public data Focused in-house, externally, both Requires timely, relevant, accurate data
Copyright © Houghton Mifflin Company. All rights reserved.8–12 Figure 8-1: Marketing Intelligence Process
CHAPTER 4 E-ENVIRONMENT
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Copyright © 2004 Pearson Education, Inc. Slide 7-1 E-commerce Kenneth C. Laudon Carol Guercio Traver business. technology. society. Second Edition.
Internet Marketing Research Chapter Seven. Copyright © Houghton Mifflin Company. All rights reserved.7–27–2 Chapter Seven Learning Objectives To learn.
Chapter 9: Electronic Commerce Software. Electronic Commerce, Seventh Annual Edition2 Web Development Spectrum HTML Editors – FrontPage, Expression Web,
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Copyright © 2007 Pearson Education Canada5-1 Marketing: An Introduction Second Canadian Edition Armstrong, Kotler, Cunningham, Mitchell and Buchwitz Chapter.
Copyright©2000 by Houghton Mifflin Company. All rights reserved. 1 QUESTION.
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1 Data and Knowledge Management. 2 Data Management: A Critical Success Factor The difficulties and the process Data sources and collection Data quality.
Lecture-8/ T. Nouf Almujally
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8 | 2Copyright © Houghton Mifflin Company. All rights reserved. Part Four Using Technology And Information To Build Customer Relationships.
1.Understand the decision-making process of consumer purchasing online. 2.Describe how companies are building one-to-one relationships with customers.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
©2013 Cengage Learning. All Rights Reserved. Business Management, 13e Technology and Information Management Electronic Technology Fundamentals.
Chapter 5 E-environment
Consumer Behavior, Market Research
Exploring Marketing Research William G. Zikmund Chapter 2: Information Systems and Knowledge Management.
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