In Success with Big Data, Russell Walker investigates the use of internal Big Data to stimulate innovations for operational effectiveness, and the ways in which external Big Data is developed for gauging, or even prompting, customer buying decisions.
In Success with Big Data, Russell Walker investigates the use of internal Big Data to stimulate innovations for operational effectiveness, and the ways in which external Big Data is developed for gauging, or even prompting, customer buying decisions.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Russell Walker, Ph.D. is Clinical Associate Professor at the Kellogg School of Management, Northwestern University. Russell Walker has developed and taught leading executive programs on Big Data and Analytics, Strategic Data-Driven Marketing, Risk Management, and Global Leadership. He founded and teaches the popular Analytical Consulting Lab, which brings Kellogg MBAs together with real-world projects in Analytics and the use of Big Data. His is the author of the award-winning text Winning with Risk Management and had also authored many popular business cases. He received his Ph.D. from Cornell University, where he studied catastrophic risk analysis. He also holds an MS from Cornell University, an Executive MBA from the Kellogg School of Management of Northwestern University. Dr. Walker consults with firms on the topics of Big Data and Analytics, Risk Management, and International Business Strategy.
Inhaltsangabe
* Chapter 1: What is "Big Data?" * Chapter 2: Benefits of Scale and Velocity in Big Data - The Movement to Now! * Chapter 3: Big Data Expands with Passive Data Capture * Chapter 4: Novel Measures in Market Activity: Direct vs. Indirect Measurement * Chapter 5: Precision in Data: New Possibilities for Mass Customization and Location-Based Services * Chapter 6: Data Fusion, Combining Data to Produce Economic Value * Chapter 7: Strategies for Monetizing Big Data * Chapter 8: Monetizing Big Data Through Productization and Data Inverting * Chapter 9: Impact of Analytics and Big Data on Corporate Culture and Recruitment * Chapter 10: Stimulating Innovation through Big Data * Chapter 11: Disrupting Business Models with New Data from Location-Based Services * Chapter 12: Protecting Data Assets * Chapter 13: Future Trends in Big Data * Chapter 14: Getting Started: SIGMA Framework for Implementing a Big Data Strategy: From Big Data to Big Profits
* Chapter 1: What is "Big Data?" * Chapter 2: Benefits of Scale and Velocity in Big Data - The Movement to Now! * Chapter 3: Big Data Expands with Passive Data Capture * Chapter 4: Novel Measures in Market Activity: Direct vs. Indirect Measurement * Chapter 5: Precision in Data: New Possibilities for Mass Customization and Location-Based Services * Chapter 6: Data Fusion, Combining Data to Produce Economic Value * Chapter 7: Strategies for Monetizing Big Data * Chapter 8: Monetizing Big Data Through Productization and Data Inverting * Chapter 9: Impact of Analytics and Big Data on Corporate Culture and Recruitment * Chapter 10: Stimulating Innovation through Big Data * Chapter 11: Disrupting Business Models with New Data from Location-Based Services * Chapter 12: Protecting Data Assets * Chapter 13: Future Trends in Big Data * Chapter 14: Getting Started: SIGMA Framework for Implementing a Big Data Strategy: From Big Data to Big Profits
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