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which laptop accessory would be used to connect multiple to the laptop?
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A docking station
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Please go through the question and chapter 9 from the textbook thoroughly then start work on my question and make sure no plagiarism
Your readings in Chapter 9 this week, as well as the handout discussing the risk companies face over unstructured data, raise concerns that need to be addressed when a company uses social media.
With your industry in mind, identify and discuss these concerns and address how this can be effectively handled.
POST
Thanks for posting the answer. Can you help me out replies for these 2 discussionsDiscussion 1Information Governance for Social Media in HealthcareInformation Governance is a key technological aspect in the IT field especially in the organizations that are dealing with numerous amounts of data as well as information. Healthcare industry is a very essential industry that deals with numerous amounts of critical and confidential data thus the need to have a well structured and appropriately implemented information governance system. The use of social media by organizations has become a common communication as well as PR and awareness tool used by organizations to interact with their publics.The use of social media comes with some challenges especially due to the amounts of data available on these platforms and the vulnerabilities that come with each platform. There are numerous data risks that healthcare organizations may face while using social media for different purposes. Data risks posed by social media applications vulnerabilities are a key concern in the healthcare organizations among other organizations (In Cox & Abbas, 2015). The risks range from governance to data security risks and all are considered to be high level risks.Nonetheless, there is the issue of lackluster data security. This entails challenges in the protection of digital data from being affected by any kind of unwanted practices such as cybercriminals as well as data breaches. With the evolution in technology and information, the hackers and cybercriminals are becoming smarter with each move. Other issues can also entail data corruption (Song & Han'guk Pogo?n Sahoe Yo?n'guwo?n, 2014). Between the identified human error as well as data breaches and also the malfunctions that may arise in databases, data corruption can take place in any company which causes bad reputation. Data remains issue can also arise without the prior knowledge of the healthcare which can cause the exposure of the organization negatively and cause data loss damages (In Cox & Abbas, 2015).Moreover, companies can ensure they have backups disaster recovery plans to help them mitigate the effects effectively. Evaluation of the quality regarding the existent controls is also vital to avoid data theft and losses (Song & Han'guk Pogo?n Sahoe Yo?n'guwo?n, 2014). There should also be regular assessment of risks as well as the determination of responses that are most suitable.ReferencesIn Cox, L. A., & Abbas, A. E. (2015). Breakthroughs in decision science and risk analysis.Song, T., & Han'guk Pogo?n Sahoe Yo?n'guwo?n. (2014). Social risk factor prediction utilizing social big data. Seoul, Korea: Korea Institute for Health and Social Affairs.Discussion 2Smallwood (2019) describes information governance as the emphasis on maintaining records of all data relevant to an organization such that it is accessible in a neatly indexed database. The opportunity to use of social media-generated data over recent years has meant significant challenges for analysis. Social media analytics, which is of multiple stages, data analysis, is a more substantial challenge. When data is analyzed, it needs to be discovered, collected, and prepared for further legal history purposes. Hence the challenge is in understanding the complexity of social media and unstructured data. Therefore, the question is to discover the topics, collect data, and prepare the same from social media for Organizational use. Two authors have proposed a framework for social media data management. Still, they are yet to be implemented with effective ease (Aral et.al, 2013, van Osch and Coursaris, 2013) to propose a framework for the research agenda (Stieglitz, Mirbabaie, Ross & Neuberger, 2018). The challenge is in volume velocity variety and veracity to explicitly identify organizational social media and the application of social media analytics in terms of general models and approaches. For using the same in the information governance, discovery, preparation, and storage of data, the reason dealt with not per representatives of the general population but by organizations and themselves and this raises questions of ethics and access barriers such as on Facebook or Twitter(Stieglitz, Mirbabaie, Ross & Neuberger, 2018).ReferencesEvans, J., McKemmish, S., & Rolana, G. (2019). Participatory information governance. Records Management Journal.Smallwood, R. F. (2019). Information governance: Concepts, strategies and best practices. John Wiley & Sons.Stieglitz, S., Mirbabaie, M., Ross, B., & Neuberger, C. (2018). Social media analytics–Challenges in topic discovery, data collection, and data preparation. International journal of information management, 39, 156-168.
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10 pages
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2. List and briefly define 3 categories of passive and active security attacks.
3. List and briefly define at least 3 categories of security services.
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Please go through the question and chapter 9 from the textbook thoroughly then start work on my question and make sure no plagiarism
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With your industry in mind, identify and discuss these concerns and address how this can be effectively handled.
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Thanks for posting the answer. Can you help me out replies for these 2 discussionsDiscussion 1Information Governance for Social Media in HealthcareInformation Governance is a key technological aspect in the IT field especially in the organizations that are dealing with numerous amounts of data as well as information. Healthcare industry is a very essential industry that deals with numerous amounts of critical and confidential data thus the need to have a well structured and appropriately implemented information governance system. The use of social media by organizations has become a common communication as well as PR and awareness tool used by organizations to interact with their publics.The use of social media comes with some challenges especially due to the amounts of data available on these platforms and the vulnerabilities that come with each platform. There are numerous data risks that healthcare organizations may face while using social media for different purposes. Data risks posed by social media applications vulnerabilities are a key concern in the healthcare organizations among other organizations (In Cox & Abbas, 2015). The risks range from governance to data security risks and all are considered to be high level risks.Nonetheless, there is the issue of lackluster data security. This entails challenges in the protection of digital data from being affected by any kind of unwanted practices such as cybercriminals as well as data breaches. With the evolution in technology and information, the hackers and cybercriminals are becoming smarter with each move. Other issues can also entail data corruption (Song & Han'guk Pogo?n Sahoe Yo?n'guwo?n, 2014). Between the identified human error as well as data breaches and also the malfunctions that may arise in databases, data corruption can take place in any company which causes bad reputation. Data remains issue can also arise without the prior knowledge of the healthcare which can cause the exposure of the organization negatively and cause data loss damages (In Cox & Abbas, 2015).Moreover, companies can ensure they have backups disaster recovery plans to help them mitigate the effects effectively. Evaluation of the quality regarding the existent controls is also vital to avoid data theft and losses (Song & Han'guk Pogo?n Sahoe Yo?n'guwo?n, 2014). There should also be regular assessment of risks as well as the determination of responses that are most suitable.ReferencesIn Cox, L. A., & Abbas, A. E. (2015). Breakthroughs in decision science and risk analysis.Song, T., & Han'guk Pogo?n Sahoe Yo?n'guwo?n. (2014). Social risk factor prediction utilizing social big data. Seoul, Korea: Korea Institute for Health and Social Affairs.Discussion 2Smallwood (2019) describes information governance as the emphasis on maintaining records of all data relevant to an organization such that it is accessible in a neatly indexed database. The opportunity to use of social media-generated data over recent years has meant significant challenges for analysis. Social media analytics, which is of multiple stages, data analysis, is a more substantial challenge. When data is analyzed, it needs to be discovered, collected, and prepared for further legal history purposes. Hence the challenge is in understanding the complexity of social media and unstructured data. Therefore, the question is to discover the topics, collect data, and prepare the same from social media for Organizational use. Two authors have proposed a framework for social media data management. Still, they are yet to be implemented with effective ease (Aral et.al, 2013, van Osch and Coursaris, 2013) to propose a framework for the research agenda (Stieglitz, Mirbabaie, Ross & Neuberger, 2018). The challenge is in volume velocity variety and veracity to explicitly identify organizational social media and the application of social media analytics in terms of general models and approaches. For using the same in the information governance, discovery, preparation, and storage of data, the reason dealt with not per representatives of the general population but by organizations and themselves and this raises questions of ethics and access barriers such as on Facebook or Twitter(Stieglitz, Mirbabaie, Ross & Neuberger, 2018).ReferencesEvans, J., McKemmish, S., & Rolana, G. (2019). Participatory information governance. Records Management Journal.Smallwood, R. F. (2019). Information governance: Concepts, strategies and best practices. John Wiley & Sons.Stieglitz, S., Mirbabaie, M., Ross, B., & Neuberger, C. (2018). Social media analytics–Challenges in topic discovery, data collection, and data preparation. International journal of information management, 39, 156-168.
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