9.In the era of Big Data, are we about to witness the end of data warehousing? Why?
10.What are the use cases for Big Data/Hadoop and data warehousing/RDBMS?
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Application Case 13.3: eBay’s Big Data Solution
1. Why is Big Data a big deal for eBay?
2.What were the challenges, the proposed solution, and the obtained results?
3.Can you think of other e-commerce businesses that may have Big Data challenges comparable to that of eBay?
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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.
Section 12.5 Review Questions
1.Define groupwork.
2.List five characteristics of groupwork.
3.Describe the process of a group meeting for decision making.
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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.
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.
Section 14.1 Review Questions
1.Why perform consumer analytics?
2.What is meant by dynamic segmentation?
3.How does geospatial mapping help OG&E?
4.What types of incentives might the consumers respond to in changing their energy use?
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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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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.
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.
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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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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Application Case 13.6: Creditreform Boosts Credit Rating Quality with Big Data Visual Analytics
1. How did Creditreform boost credit rating quality with Big Data and visual analytics?
2.What were the challenges, proposed solution, and initial results?
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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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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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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.
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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Section 13.1 Review Questions
1. What is CERN? Why is it important to the world of science?
2. How does Large Hadron Collider work? What does it produce?
3. What is the essence of the data challenge at CERN? How significant is it?
4. What was the solution? How did Big Data address the.
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..
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.
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?
.
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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Section 13.4 Review Questions
1.What are the common characteristics of emerging Big Data technologies?
2.What is MapReduce? What does it do? How does it do it?
3.What is Hadoop? How does it work?
.
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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6.Discuss the relationship between mobile devices and social networking.
7.Some say that analytics in general, and ES in particular, dehumanize managerial activities, and others say they do not. Discuss arguments for both points of view.
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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.
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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Section 14.4 Review Questions
1.List the types of approaches used in recommendation engines.
2.How do the two approaches differ?
3.Can you identify specific sites that may use one or the other type of recommendation system?
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7.What is a data scientist? What makes them so much in demand?
8.What are the common characteristics of data scientists? Which one is the most important?
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Section 13.2 Review Questions
1.Why is Big Data important? What has changed to put it in the center of the analytics world?
2.How do you define Big Data? Why is it difficult to define?
3.Out of the Vs that are used to define Big Data, in your opinion, which one is the most.
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.
Section 14.5 Review Questions
1.Define Web 2.0.
2.List the major characteristics of Web 2.0.
3.What new business model has emerged from Web 2.0?
4.Define social network.
5.List some major social network sites.
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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.
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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ANSWERS TO END OF CHAPTER QUESTIONS FOR DISCUSSION? ? ?
1.What is Big Data? Why is it important? Where does Big Data come from?
2.What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?
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10.What are some of the major privacy concerns in employing analytics on mobile data?
11.How can one move from a technology provider cluster to a user cluster?
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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.
3.Describe new organizational units that are created because of analytics.
4.How can analytics affect restructuring of business processes?
5.Describe the impacts of ADS systems.
6.How can analytics affect job satisfaction?
.
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.
5.How does DaaS change the way data is handled?
6.What is MaaS? What does it offer to businesses?
7.Why is AaaS cost effective?
8.Why is MapReduce mentioned in the context of AaaS?
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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.
Section 13.7 Review Questions
1.What is special about the Big Data vendor landscape? Who are the big players?
2.How do you think the Big Data vendor landscape will change in the near future? Why?
3.What is the role of visual analytics in the world of Big Data?
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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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ANSWERS TO end of chapter QUESTIONS FOR DISCUSSION? ? ?
1.Why is the term knowledge so difficult to define?
2.Describe and relate the different characteristics of knowledge to one another.
3.Explain why it is important to capture and manage knowledge.
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