1. What role, if any, does the Internet play in market segmentatio.docx

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The document contains 5 questions asking about the role of the internet in market segmentation, guidelines for developing an organizational chart, dealing with a conflict using different strategies, defining and giving an example of business analytics and its growing use, and whether Facebook should allow users to opt out of mobile ad targeting.

Education

1.
What role, if any, does the Internet play in market segmentation
strategy? Provide at least one specific example and briefly
discuss.
2.
Briefly explain seven of the guidelines to follow in developing
an organizational chart.
Your response should be at least 200 words in length.
3.
Describe a conflict situation that requires you to use 1)
avoidance, 2) defusion, and 3) confrontation in order to solve
the problem.
Your response should be at least 200 words in length.
4.
Define and give an example of business analytics. Why is this
technique becoming so widely used in organizations today?
Your response should be at least 200 words in length.
5.
Do you agree with privacy advocates who contend that
Facebook should provide ways for users to opt out of the mobile
ad targeting? Why, or why not?
Your response should be at least 200 words in length.

1. What role, if any, does the Internet play in market segmentatio.docx

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BIG IOT AND SOCIAL NETWORKING DATA FOR SMART CITIES: Algorithmic improvements on Big Data Analysis in the context of RADICAL city applications Evangelos Psomakelis12,Fotis Aisopos1, Antonios Litke1, Konstantinos Tserpes21, Magdalini Kardara1 and Pablo Martínez Campo3 1Distributed Knowledge and Media Systems Group, National Technical University of Athens, Zografou Campus, Athens, Greece 2Informatics and Telematics Dept, Harokopio University of Athens, Greece 3Communications Engineering department, University of Cantabria, Santander, Spain {fotais, litke, nkardara, tserpes, vpsomak}@mail.ntua.gr,[email protected] Keywords: Internet of Things, Social Networking, Big Data Aggregation and Analysis, Smart City applications, Sentiment Analysis, Machine Learning Abstract: In this paper we present a SOA (Service Oriented Architecture)-based platform, enabling the retrieval and analysis of big datasets stemming from social networking (SN) sites and Internet of Things (IoT) devices, collected by smart city applications and socially-aware data aggregation services. A large set of city applications in the areas of Participating Urbanism, Augmented Reality and Sound-Mapping throughout participating cities is being applied, resulting into produced sets of millions of user-generated events and online SN reports fed into the RADICAL platform. Moreover, we study the application of data analytics such as sentiment analysis to the combined IoT and SN data saved into an SQL database, further investigating algorithmic and configurations to minimize delays in dataset processing and results retrieval. 1 INTRODUCTION Modern cities are increasingly turning towards ICT technology for confronting pressures associated with demographic changes, urbanization, climate change (Romero Lankao, 2008) and globalization. Therefore, most cities have undertaken significant investments during the last decade in ICT infrastructure including computers, broadband connectivity and recently sensing infrastructures. These infrastructures have empowered a number of innovative services in areas such as participatory sensing, urban logistics and ambient assisted living. Such services have been extensively deployed in several cities, thereby demonstrating the potential benefits of ICT infrastructures for businesses and the citizens themselves. During the last few years we have also witnessed an explosion of sensor deployments and social networking services, along with the emergence of social networking (Conti et al., 2011) and internet‐of‐things technologies (Perera et al., 2013; Sundmaeker et al., 2010) Social and sensor networks can be combined in order to offer a variety of added‐value services for smart cities, as has already been demonstrated by various early internet‐ of‐things applications (such as WikiCity(Calabrese et al., 2007), CitySense(Murty et al., 2007), GoogleLatitude(Page and Kobsa, 2010)), as.

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Big Data Risks and Rewards (good length and at least 3-4 references everything in APA 7 format) When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee. From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth. As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards. To Prepare: Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs . Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed. By Day 3 of Week 5 Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples. By Day 6 of Week 5 Respond to at least two of your colleagues * on two different days , by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks. Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit button to post your message. *Note: Throughout this program, your fellow students are referred to as colleagues. Michea Discussion ( in APA 7 format and at least 2-3 references) With the fast growing pace of technological advancement in the health care sector, daily operations of the institution helps generate millions of data that over time needs proper channels of transmission, storage, processing, assimilation and utilization. Following from the vast amount of data generated, some of its benefits includes but is not limited to functioning as a pattern discovery aid with relation to the amount of variance or similarity in .

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1. 1. What role, if any, does the Internet play in market segmentation strategy? Provide at least one specific example and briefly discuss. 2. Briefly explain seven of the guidelines to follow in developing an organizational chart. Your response should be at least 200 words in length. 3. Describe a conflict situation that requires you to use 1) avoidance, 2) defusion, and 3) confrontation in order to solve the problem. Your response should be at least 200 words in length. 4. Define and give an example of business analytics. Why is this technique becoming so widely used in organizations today? Your response should be at least 200 words in length. 5. Do you agree with privacy advocates who contend that Facebook should provide ways for users to opt out of the mobile ad targeting? Why, or why not? Your response should be at least 200 words in length.

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