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9.Explain the importance of communication and collaboration technologies to the

  9.Explain the importance of communication and collaboration technologies to the processes of knowledge management. 10.List three top technologies most frequently used for implementing KMS and explain their importance. 11.Explain why it is useful to describe groupwork in terms of the time/place framework. 12.Describe the kinds of support that groupware can provide to decision.
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9.Explain the importance of communication and collaboration technologies to the
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4.Compare and contrast tacit knowledge and explicit knowledge. 5.Explain why organizational

  4.Compare and contrast tacit knowledge and explicit knowledge. 5.Explain why organizational culture must sometimes change before knowledge management is introduced. 6.How does knowledge management attain its primary objective? 7.How can employees be motivated to contribute to and use KMS? 8.What is the role of a knowledge repository in knowledge management?     .
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4.Compare and contrast tacit knowledge and explicit knowledge. 5.Explain why organizational
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11.What stream analytics? How does it differ from regular analytics? 12.What

  11.What is stream analytics? How does it differ from regular analytics? 12.What are the most fruitful industries for stream analytics? What is common to those industries? 13.Compared to regular analytics, do you think stream analytics will have more (or fewer) use cases in the era of Big Data analytics? Why?     .
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11.What stream analytics? How does it differ from regular analytics? 12.What
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3.What Big Data analytics? How does it differ from regular

  3.What is Big Data analytics? How does it differ from regular analytics? 4.What are the critical success factors for Big Data analytics? 5.What are the big challenges that one should be mindful of when considering implementation of Big Data analytics? 6.What are the common business problems addressed by Big Data analytics?     .
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3.What Big Data analytics? How does it differ from regular
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Application Case 13.7: Turning Machine-Generated Streaming Data into Valuable Business

  Application Case 13.7: Turning Machine-Generated Streaming Data into Valuable Business Insights 1. Why is stream analytics becoming more popular? 2.How did the telecommunications company in this case use stream analytics for better business outcomes? What additional benefits can you foresee? 3. What were the challenges, proposed solution, and initial results?     .
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Application Case 13.7: Turning Machine-Generated Streaming Data into Valuable Business
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Application Case 14.2: Quiznos Targets Customers for Its Sandwiches 1. How

  Application Case 14.2: Quiznos Targets Customers for Its Sandwiches 1. How can location-based analytics help retailers in targeting customers? 2.Research similar applications of location-based analytics in the retail domain. Application Case 14.3: A Life Coach in Your Pocket 1. Search online for other applications of consumer-oriented analytical applications. 2.How can location-based analytics help individual consumers? 3..
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Application Case 14.2: Quiznos Targets Customers for Its Sandwiches 1. How
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ANSWERS TO END OF CHAPTER APPLICATION CASE QUESTIONS?  ? 1. How

  ANSWERS TO END OF CHAPTER APPLICATION CASE QUESTIONS?  ? 1. How big is Big Data for Discovery Health? 2. What big data sources did Discovery Health use for their analytic solutions? 3. What were the main data/analytics challenges Discovery Health was facing? 4. What were the main solutions they have produced? 5. What were the.
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ANSWERS TO END OF CHAPTER APPLICATION CASE QUESTIONS?  ? 1. How
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ANSWERS TO APPLICATION CASE QUESTIONS FOR DISCUSSION?  ? Application Case 13.1:

  ANSWERS TO APPLICATION CASE QUESTIONS FOR DISCUSSION?  ?   Application Case 13.1: Big Data Analytics Helps Luxottica Improve Its Marketing Effectiveness 1. What does Big Data mean to Luxottica? 2.What were their main challenges? 3. What was the proposed solution, and the obtained results?     .
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ANSWERS TO APPLICATION CASE QUESTIONS FOR DISCUSSION?  ? Application Case 13.1:
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Application Case 13.4: Big Data and Analytics in Politics 1. What

  Application Case 13.4: Big Data and Analytics in Politics 1. What is the role of analytics and Big Data in modern-day politics? 2.Do you think Big Data Analytics could change the outcome of an election? 3.What do you think are the challenges, the potential solution, and the probable results of the use of.
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Application Case 13.4: Big Data and Analytics in Politics 1. What
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Section 14.2 Review Questions 1.How does traditional analytics make use of

  Section 14.2 Review Questions 1.How does traditional analytics make use of location-based data? 2.How can geocoded locations assist in better decision making? 3.What is the value provided by geospatial analytics? 4.Explore the use of geospatial analytics further by investigating its use across various sectors like government census tracking, consumer marketing, and so forth.     .
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Section 14.2 Review Questions 1.How does traditional analytics make use of
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ANSWERS TO END OF CHAPTER QUESTIONS FOR DISCUSSION?  ?  ? 1.What

  ANSWERS TO END OF CHAPTER QUESTIONS FOR DISCUSSION?  ?  ? 1.What are the potential benefits of using geospatial data in analytics? Give examples. 2.What type of new applications can emerge from knowing locations of users in real time? What if you also knew what they have in their shopping cart, for example? 3.How.
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ANSWERS TO END OF CHAPTER QUESTIONS FOR DISCUSSION?  ?  ? 1.What
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Section 13.5 Review Questions 1. What a data scientist? What makes

  Section 13.5 Review Questions 1. What is a data scientist? What makes them so much in demand? 2. What are the common characteristics of data scientists? Which one is the most important? 3. Where do data scientists come from? What educational backgrounds do they have? 4. What do you think is the path to.
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Section 13.5 Review Questions 1. What a data scientist? What makes
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Section 13.9 Review Questions 1.What the most fruitful industries for stream

  Section 13.9 Review Questions 1.What are the most fruitful industries for stream analytics? 2.How can stream analytics be used in e-commerce? 3.In addition to what is listed in this section, can you think of other industries and/or application areas where stream analytics can be used? 4.Compared to regular analytics, do you think stream analytics.
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Section 13.9 Review Questions 1.What the most fruitful industries for stream
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13.Explain why most groupware deployed today over the Web. 14.Explain why

  13.Explain why most groupware is deployed today over the Web. 14.Explain why meetings can be so inefficient. Given this, explain how effective meetings can be run. 15.Explain how GDSS can increase some of the benefits of collaboration and decision making in groups and eliminate or reduce some of the losses. 16.The original term.
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13.Explain why most groupware deployed today over the Web. 14.Explain why
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Section 13.6 Review Questions 1.What the challenges facing data warehousing and

  Section 13.6 Review Questions 1.What are the challenges facing data warehousing and Big Data? Are we witnessing the end of the data warehousing era? Why or why not? 2.What are the use cases for Big Data and Hadoop? 3.What are the use cases for data warehousing and RDBMS? 4.In what scenarios can Hadoop and.
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Section 13.6 Review Questions 1.What the challenges facing data warehousing and
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ANSWERS TO APPLICATION CASE QUESTIONS FOR DISCUSSION?  ? Application Case 14.1:

  ANSWERS TO APPLICATION CASE QUESTIONS FOR DISCUSSION?  ?   Application Case 14.1: Great Clips Employs Spatial Analytics to Shave Time in Location Decisions 1. How is geospatial analytics employed at Great Clips? 2.What criteria should a company consider in evaluating sites for future locations? 3. Can you think of other applications where such geospatial data.
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ANSWERS TO APPLICATION CASE QUESTIONS FOR DISCUSSION?  ? Application Case 14.1:
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Section 12.6 Review Questions 1.Why do companies use computers to support

  Section 12.6 Review Questions 1.Why do companies use computers to support groupwork? 2.Describe the components of the time/place framework. Section 12.7 Review Questions 1.List the major groupware tools and divide them into synchronous and asynchronous types. 2.Identify specific tools for Web conferencing and their capabilities. 3.Define wiki and wikilog. 4.Define collaborative hub.     .
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Section 12.6 Review Questions 1.Why do companies use computers to support
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Application Case 13.2: Top 5 Investment Bank Achieves Single Source

  Application Case 13.2: Top 5 Investment Bank Achieves Single Source of the Truth 1. How can Big Data benefit large-scale trading banks? 2.How did MarkLogic infrastructure help ease the leveraging of Big Data? 3. What were the challenges, the proposed solution, and the obtained results?     .
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Application Case 13.2: Top 5 Investment Bank Achieves Single Source
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8.Diagnosing infections and prescribing pharmaceuticals the weak points of many

  8.Diagnosing infections and prescribing pharmaceuticals are the weak points of many practicing physicians (according to E. H. Shortliffe, one of the developers of MYCIN). It seems, therefore, that society would be better served if MYCIN (and other ES, see Chapter 11) were used extensively, but few physicians use ES. Answer.
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8.Diagnosing infections and prescribing pharmaceuticals the weak points of many
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Section 13.8 Review Questions 1.What a stream (in the Big Data

  Section 13.8 Review Questions 1.What is a stream (in the Big Data world)? 2.What are the motivations for stream analytics? 3.What is stream analytics? How does it differ from regular analytics? 4.What is critical event processing? How does it relate to stream analytics? 5.Define data stream mining. What are the additional challenges that are posed?     .
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Section 13.8 Review Questions 1.What a stream (in the Big Data
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Section 13.3 Review Questions 1.What Big Data analytics? How does it

  Section 13.3 Review Questions 1.What is Big Data analytics? How does it differ from regular analytics? 2.What are the critical success factors for Big Data analytics? 3.What are the big challenges that one should be mindful of when considering implementation of Big Data analytics? 4.What are the common business problems addressed by Big Data.
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Section 13.3 Review Questions 1.What Big Data analytics? How does it
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Section 14.3 Review Questions 1.What the various options that CabSense provides

  Section 14.3 Review Questions 1.What are the various options that CabSense provides to users? 2.Explore more transportation applications that may employ location-based analytics. 3.Briefly describe how the data are used to create profiles of users. 4.What other applications can you imagine if you were able to access cell phone location data? Do a search.
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Section 14.3 Review Questions 1.What the various options that CabSense provides
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Application Case 13.5: Dublin City Council Is Leveraging Big Data

  Application Case 13.5: Dublin City Council Is Leveraging Big Data to Reduce Traffic Congestion 1. Is there a strong case to make for large cities to use Big Data Analytics and related information technologies? Identify and discuss examples of what can be done with analytics beyond what is portrayed in this.
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Application Case 13.5: Dublin City Council Is Leveraging Big Data
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ANSWERS TO END-OF-CHAPTER APPLICATION CASE QUESTIONS?  ? 1.Why should digital forensics

  ANSWERS TO END-OF-CHAPTER APPLICATION CASE QUESTIONS?  ? 1.Why should digital forensics information be shared among law enforcement communities? 2.What does egocentric theory suggest about knowledge sharing? 3.What behavior did the developers of NRDFI observe in terms of use of the system? 4.What additional features might enhance the use and value of such a KMS?     .
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ANSWERS TO END-OF-CHAPTER APPLICATION CASE QUESTIONS?  ? 1.Why should digital forensics
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Section 14.6 Review Questions 1.Define cloud computing. How does it relate

  Section 14.6 Review Questions 1.Define cloud computing. How does it relate to PaaS, SaaS, and IaaS? 2.Give examples of companies offering cloud services. 3.How does cloud computing affect business intelligence? 4.What are the three service models that provide the foundation to service-oriented DSS?     .
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Section 14.6 Review Questions 1.Define cloud computing. How does it relate
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Section 14.9 Review Questions 1.Identify the nine clusters in the analytics

  Section 14.9 Review Questions 1.Identify the nine clusters in the analytics ecosystem. 2.Which clusters represent technology developers? 3.Which clusters represent technology users? 4.Give examples of an analytics professional moving from one cluster to another.     .
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Section 14.9 Review Questions 1.Identify the nine clusters in the analytics
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