Talk:Living in a Connected World 2018/What categories of data can benefit merchants to improve their sale profit?

Idea Discussion
I have created an essay page (with template) and started this discussion page for you. This discussion page is where the majority of your future discussion work will sit. Don't forget to use the 4 ~s when contributing to discussion Just to note: you should work on the essay page when drafting the essay itself. This is because, among other things, the platform lends itself to drafting and reworking, and you shouldn't hold off publishing work until the deadline - it should be a work-in-progress. Also note that when working on the essay page itself, there's no need to use the 4 ~s. GregXenon01 (discuss • contribs) 15:33, 2 November 2018 (UTC)


 * Hi Guys. Just a quick note here - I've noticed that there's not much in the way of activity on this discussion page, and nothing on the essay page yet. I'm wondering what you are waiting for? Just go for it! A good place to start would be working on the discussion page and registering all of the reading you've done so far this term and discussing between you what you think is relevant to your essay question. From there, you can start reviewing the relevant scholarship in more depth and drafting the essay on the essay page. It's really up to you, but I would have expected to see lots more content and discussion by now.
 * Hi Guys. Just a quick note here - I've noticed that there's not much in the way of activity on this discussion page, and nothing on the essay page yet. I'm wondering what you are waiting for? Just go for it! A good place to start would be working on the discussion page and registering all of the reading you've done so far this term and discussing between you what you think is relevant to your essay question. From there, you can start reviewing the relevant scholarship in more depth and drafting the essay on the essay page. It's really up to you, but I would have expected to see lots more content and discussion by now.


 * Here's some text from the assessment brief - available for some time now on Canvas - to remind you of the importance of starting early:
 * There is no absolute fixed way to write the essay, but each team should aim for 3000 words in total. You can check this by copying and pasting text into a word doc periodically to check word count (Wiki*edia sites count characters, not words!). The Collaborative Essay you produce with your team on the Essay Page itself will be marked, in much the same way as any essay, and will be given a single mark. It is the only component that carries a collaborative mark. Everything else is individually assessed.


 * The assessment activities you undertake will be measured against an evidence trail of your editing and discussion activity – all of which is recorded and time-stamped by the wiki software via your contributions record. This is referred to as contribs. This is the most important aspect of the whole project, and there is video content which guides you through the process of checking this and the reasons why this is important. This is also something that will be confirmed in the Wiki Labs. The contribs trail is the reason why it is extremely difficult for groups to carry members who ‘coast’ through the project, and impossible for ‘coasters’ to get away with doing little work. It is also impossible to attempt to fudge this bit of the assessment the night before the due date, because every edit, every contribution, down to the last character, is traceable and publicly viewable on the platform. Whereas you may have been lucky with this last-minute assessment tactics in the past, DO NOT be tempted to leave this assessment to the last couple of days! You will fail. I cannot emphasise this enough, and absolutely mean it. Your individual contributions to Essay Discussion Pages, as well as the Essay Page itself are crucial, and you shouldn’t wait for others to start (you could be waiting forever). Start early!
 * GregXenon01 (discuss • contribs) 08:54, 15 November 2018 (UTC)


 * Dear Greg, sorry we are late. We have talked about it, and we will generalize right now!

Hi Min, just wanted to mention you can reply by adding these ':::' according to the format and requirement. It looks presentable. Good luck for the essay guys! Awesooome92 (discuss • contribs) 13:37, 16 November 2018 (UTC)


 * Thank you so much, Laila. Now I know the format. I have corrected it! Min1996 (discuss • contribs) 13:41, 16 November 2018 (UTC)


 * Firstly,The data we need to consider is not only the personal information data, but also can involves customer consumption record. These categories of data can help merchants know how to create advertisement. For example, in the 1990s in the United States, Wal-Mart supermarkets, supermarket managers found an incomprehensible phenomenon when analysing sales data: in some specific cases, "beer" and "diaper" seem to have nothing to do with the goods. Will often appear in the same shopping basket, this unique sales phenomenon caught the attention of managers, after a follow-up investigation found that this phenomenon appeared on the young father. This shows the importance of data. What's more, there are still other kinds of data we need to think about.Min1996 (discuss • contribs) 21:26, 16 November 2018 (UTC)


 * Our essay is about: What categories of data can improve the profit of the merchants themselves, then we can get some aspects in this essay. firstly, to explain how to improve the profit of the business, such as increasing the number of consumers and increase the awareness of the brand? It can indicate that the importance of consumers to businesses. Secondly, how to increase the number of consumers and how to excavate potential users? We can through the shape of the online(such as advertising on social media and advertising in programs) or off-line (such as going to campus promotion and street awards for write a survey questionnaire from passerby). In the end, we can consider what data the user can use, for the instant, from the people who like and follow. In-depth understanding of the needs of users, so that our products are more satisfied with the needs of users. I read a bibliography about this essay today. This book describes how to use data to better understand customers and to seek potential users, test the power of display advertising and the future of data. Next day, we can read this book together and understand the big data in depth. Big data is important to increase business profits, this book's name is "Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors and boosting profits".Cecila123 (discuss • contribs) 22:08, 16 November 2018 (UTC)


 * Hi Greg and Cecila! I would like to make a detailed analysis from the perspectives of consumers themselves, consuming data and advertising. On the one hand, talk about the connection between the three. Consuming data comes from consumers. The advertisements designed by merchants are based on Consuming data, and advertising influences consumer's consumption tendency. It can be seen that the three are interrelated and indivisible.Min1996 (discuss • contribs) 22:51, 16 November 2018 (UTC)


 * hi both ; these all seem like useful ideas. What I would be mindful of here is that you seem to be trying to do too much with the available space that you have. You have identified some interesting ideas, do you ought to concentrate on discussing the relevant concepts you have already identified, as well as discuss relevant case study or examples that illustrate your argument. GregXenon01 (discuss • contribs) 16:01, 17 November 2018 (UTC)


 * Hi, Greg! Thank you for recommending what we need to concentrate more on. I have find several books and examples which are helpful to find the relationship between consumers and consuming data. And I also find some relevant concepts of business promotion methods. I will add them to "Resources" section on our page! Hi, Cecilia. If you think these books and examples are not very appropriate or you have any ideas, please let me know. We can discuss until we find the best resources!Min1996 (discuss • contribs) 00:28, 22 November 2018 (UTC)

Part 2: The specific categories of data we can analyse from consumers. Firstly, the data we need to consider is not only the identity information data, but also can involves customer consumption record. These categories of data can help merchants know how to create advertisement. For example, in the 1990s in the United States, Wal-Mart supermarkets, supermarket managers found an incomprehensible phenomenon when analyzing sales data: in some specific cases, "beer" and "diaper" seem to have nothing to do with the goods. Will often appear in the same shopping basket, this unique sales phenomenon caught the attention of managers, after a follow-up investigation found that this phenomenon appeared on the young father. This shows the importance of data. What's more, there are still other kinds of data we need to think about. Part 3: from these data what ways we can find out to increase profits. Part 4: the influence of the methods the merchants use. Min1996 (discuss • contribs) 16:45, 17 November 2018 (UTC)
 * Hi! Greg and Cecilia! Here are my ideas! What categories of data can help merchants to improve their profits. Part 1: I would like to make a detailed analysis from the perspectives of consumers themselves, consuming data and business promotion methods. The connection between the three are very close. Consuming data comes from consumers themselves. The business promotion methods are designed by merchants are based on the consuming data, and the methods merchants use, such as   advertising, influence consumers’ consumption tendency.

Today we can discuss the definitions and relationships of the four aspects we will mention in the essay. These four aspects are users, consumers data, ways to promote awareness of the brand or company products and increase consumers (expanding consumers, companies increase interest) The first aspect: users: consumers of products The second aspect: consumers data - in simple terms, is to use data to better understand consumers and through data mining our potential users to make our products even better. The third aspect: the way to promote product promotion: equivalent to the company's investment in the external market, these investments can be online, it can also be off-line. The fourth aspect: increasing consumers: This is equivalent to expanding the consumer base and attracting more potential users. Then the relationship between the four aspects is: Firstly, the company's personnel will count existing consumers (such as basic information and personal information) and these data. Discover commonalities and clarify the characteristics of potential users. When we understand what type of people we need to attract, we can get the right medicine, invest in useful advertising, avoid inefficient investments, and waste assets. When we invest in certain ads, we will attract the corresponding potential users, thereby expanding the consumer group and ultimately improving the interests of the company.Cecila123 (discuss • contribs) 20:52, 17 November 2018 (UTC)
 * Hi, Greg and Cecilia! I extremly agree with Cecilia that we can find relationships between users/consumers, consumers data and products promotion methods. And there is no doublt that we aslo need to talk about the increasing consumers! But I think we can put existing consumers and increasing consumers together into users/consumers which Cecilia has mentioned in her first aspect. Then when we talk about the consumers, we can analyze that there are two kinds of consumers here, including existing consumers and increasing consumers. Do you think my idea is reasonable? Looking forward to your reply!Min1996 (discuss • contribs) 23:05, 18 November 2018 (UTC）


 * Yes, I think your idea is reasonable. The merchant will investigate the data of the existing consumers, find common ground, and then use this common point to carry out peer-to-peer promotion to attract more with people in need, we can treat these people as potential consumers. Then the problem is coming. What data does the merchant investigate consumer data? We last time said identity information data and personal information data, but we seem to have doubts about personal information data, just like the teacher said, we need start looking for information or books to define personal information data. I will go to the library to find out tomorrow. Let's better understand this meaning in the books about personal information data that merchants will mine. I will share it on the discussion page tomorrow, and then we will discuss the next step.Cecila123 (discuss • contribs) 23:39, 18 November 2018 (UTC)

Hi, dear Cecilia! I think we need to think about the specific content of the introdution of our essay now. Firstly, I think we can add the backgroud of our essay. Then, we can mention the reasons why it is necessary for merchants to get data from consumers. Lastly, we can mention what we will address in our whole essay in concise.Min1996 (discuss • contribs) 23:51, 18 November 2018 (UTC)

Introduction Discussion
Hi, Cecilia. We can discuss anything related to Introduction of our essay here.Min1996 (discuss • contribs) 15:37, 20 November 2018 (UTC)
 * good work so far guys - keep up the momentum! GregXenon01 (discuss • contribs) 07:54, 27 November 2018 (UTC)

Main Body Discussion
Hi, Cecilia. we can divide our essay main body into four parts. Part 1: making a detailed analysis from the perspectives of consumers themselves, consuming data and business promotion methods. The connection between the three are very close. Consuming data comes from consumers themselves. The business promotion methods are designed by merchants are based on the consuming data, and the methods merchants use, such as   advertising, influence consumers’ consumption tendency. Part 2: The specific categories of data we can analyse from consumers. Firstly, the data we need to consider is not only the identity information data, but also can involves customer consumption record. These categories of data can help merchants know how to create advertisement. For example, in the 1990s in the United States, Wal-Mart supermarkets, supermarket managers found an incomprehensible phenomenon when analyzing sales data: in some specific cases, "beer" and "diaper" seem to have nothing to do with the goods. Will often appear in the same shopping basket, this unique sales phenomenon caught the attention of managers, after a follow-up investigation found that this phenomenon appeared on the young father. This shows the importance of data. What's more, there are still other kinds of data we need to think about. Part 3: from these data what ways we can find out to increase profits. Part 4: the influence of the methods the merchants use.Min1996 (discuss • contribs) 16:26, 25 November 2018 (UTC)

Hi, Cecilia. In the part one. Firstly, We need to talk clearly who are the consumers, what is the consuming data and what are the business promotion methods in concise which will be specifically talked in the part3. Then, explain the relation ship between the three in detail. The consumers include existing consumers and potential increasing consumers. Merchants can recommend products to existing consumers based on their gender, age, work and so on. The potential increasing consumers are the person attracted by product sale methods. The consuming data includes identity information data and customer consumption record. This is a continuous cycle. Firstly, Potential increasing consumers become existing consumers. Then Merchants analyse their consuming data to attract next potential consumers. Min1996 (discuss • contribs) 16:42, 25 November 2018 (UTC)

Hi, Min. I remember the last time we discussed the issue of consumer data. You mentioned the identity data. I found the information today and got a deeper understanding of the individual. What is personal data? Personal data is divided into three categories: identifiable, living, and individuals. First of all, this personal data does not refer to the company or organization information, he applies to the real designated contact. Second, "Personal data is recorded in an auto-running device", which refers to a computer device or an automated device, such as monitoring system or closed circuit television, etc. “There will be some intentional records in the relevant filing system”, and the data will be transcribed to the contents of the personal computer records. And personal data "t can include any information about an identifiable, living individual which is recorded in any way." Data is not just textual, photos or videos are potential personal data. The above information was found in Chapter 7 of a book called "Data Protection vs. Freedom of information: Access and Personal Data." If you are interested, you can read this book.Cecila123 (discuss • contribs) 12:33, 29 November 2018 (UTC)

Resources Share
Hi, Cecilia. We need to find several academic books. If you find some books useful you can put here.Min1996 (discuss • contribs) 15:40, 20 November 2018 (UTC)

Hi, Cecilia. Do you think this book is suitable? I have find the book which maybe helpful us to find the relationship between consumers and consuming data. This book put forward a new multi-indicator RFM (recency, frequency, monetary) method for customer segmentation by consuming data mining. Firstly it constructed a multi-indicator RFM model containing 10 indicators in 3 groups, and extracted inherent segment variables from these indicators by factor analysis method, then applied partitioning based clustering algorithm for customer segmentation. Through analysis of the sales data of a large Chinese paper towel producer with 1 million + data records, it effectively got the customer types. ZENG Xiao-qing, XU Qin, ZHANG Dan & LIN Da-han 2013, ‘New multi-indicator customer segmentation method based on consuming data mining’, Application Research of Computers / Jisuanji Yingyong Yanjiu, vol. 30, no. 10, pp. 2944–2947, ......viewed 21 November 2018, .Min1996 (discuss • contribs) 00:44, 22 November 2018 (UTC)

Hi, Cecilia. Here is an example can prove the importance of analysing data in our part2. In the 1990s in the United States, Wal-Mart supermarkets, supermarket managers found an incomprehensible phenomenon when analysing sales data: in some specific cases, "beer" and "diaper" seem to have nothing to do with the goods. Will often appear in the same shopping basket, this unique sales phenomenon caught the attention of managers, after a follow-up investigation found that this phenomenon appeared on the young father. This shows the importance of data. What's more, there are still other kinds of data we need to think about. Part 3: from these data what ways we can find out to increase profits. The article I find in campus library can be useful to support this example. IT Var News (2013) ‘Beer, Diapers and the Big Data Bug’. Available at: http://ezproxy.stir.ac.uk/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=edsgic&AN=edsgcl.343783225&site=eds-live (Accessed: 25 November 2018). Min1996 (discuss • contribs) 16:45, 25 November 2018 (UTC)

Hi, Min. The book titled "The Big Data-Driven Business : How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits". https://ebookcentral.proquest.com/lib/stir/detail.action?docID=1835554. We can refer to this book when we discuss how to increase consumers or increase company profitability through data.Cecila123 (discuss • contribs) 12:45, 29 November 2018 (UTC)

This is another book called "Data Protection vs. Freedom of Information : Access and Personal Data". https://ebookcentral.proquest.com/lib/stir/reader.action?docID=480418. When we write about the types of consumer data in the paper, we can refer to this book.Cecila123 (discuss • contribs) 12:48, 29 November 2018 (UTC)

Suggestions

 * Hope you guys are well. You guys mentioned above regarding beer and diapers, that’s a really good example of consumer behavior. A lot of data comes from study of behaviors by consumer tracking. Companies basically study these consumer-purchasing pattern to send them the right advertisements. Basically you guys can draw your arguments in the light of some relevant case studies. This might help to explain and articulate your essay. On the top of my mind is this case study about Target, which I came across while studying my bachelors. So you can read the whole story if you think this is useful for you. I will just give you a brief. Lots of people buy lotion, but they noticed that women on the baby registry were buying larger quantities of unscented lotion around the beginning of their second trimester. Another analyst noted that sometime in the first 20 weeks, pregnant women loaded up on supplements like calcium, magnesium and zinc. Many shoppers purchase soap and cotton balls, but when someone suddenly starts buying lots of scent-free soap and extra-big bags of cotton balls, in addition to hand sanitizers and washcloths, it signals they could be getting close to their delivery date. So Target send coupons timed to very specific stages of their pregnancy. More insights were on the colors, if it's a bright blue bag then chances are it’s a boy! This is how a father discovered about her sixteen-year-old daughter pregnancy. He was not happy that why her daughter was getting all the child related coupons and later, he discovered that she actually is expecting. So as long as people assume that everyone else on their block got the same mailer, it works, they’ll use the coupons. It is like first date even if you've fully stalked the person on Facebook, pretend like you know less than you do, so you do not creep the person out.

You can also research on the latest digital campaigns that impacted on the sales. I am sure there will be many. Hope this helps! Awesooome92 (discuss • contribs) 16:01, 28 November 2018 (UTC)

Instructor Feedback for this Collaborative Essay
General Feedback:

Essays of this standard roughly correspond to the following grade descriptor. Depending on where your actual mark is in relation to the making criteria as outlined in the relevant documentation, it should give you an idea of strengths and weaknesses within the achieved grade band overall:


 * Satisfactory. Among other things, satisfactory standard work may try to relate an idea from the module to an original example, but might not be very convincing. It may waste space on synopsis or description, rather than making a point. It may have spelling or grammatical errors and typos. Attainment of most of the intended learning outcomes in evidence, some more securely grasped than others, resting on a circumscribed range of evidence and displaying a variable depth of understanding. The wiki markup formatting will need some work.

In CMC, we generally look for the following as a guideline when assessing your written work in relation to specific briefs: Satisfactory. Needs work. Needs work.
 * Quality of research: evidence of critical engagement with set course materials; evidence of independent reading of appropriate academic material.
 * Originality of thought: well-articulated and well-supported argument; evidence of critical thinking (through taking a position in relation to key ideas from the course, and supporting this position); evidence of relational thinking (through making connections between key ideas from the course and wider literature; support these connections); evidence of independent critical ability.
 * Clarity of expression: appropriate writing style; clear and coherent structure; consistency and accuracy in referencing (APA/Wikipedia convention).

Specific Feedback:


 * You have submitted a fairly well written response to the brief. Here you outline a number of arguments that specifically address the themes of cultural flattening and social media within a globalisation context. Your discussion of the research evidences some interesting takes on some of the scholarship on your chosen topic. The examples that you have chosen to discuss your theme (using the case study of Instagram Modest Islamic influencers in particular) are very well-judged because they enable you to illustrate your argument.


 * You evidence some independent reading on your subject matter – although I do think that reference to the set reading that is available to you on this module (and other core modules on this programme) via the resource list on VLE would have really helped you to open things up theory-wise. This would have especially been the case regarding research into monetisation of information flows, as well as scholarship on data economics. I don’t quite understand why you would choose to not include such material, as it is readily available and discussed as part of the modules. I would have liked to have seen a deeper engagement with, and analysis of, the main concepts – the emphasis here seems to be much more a case of description of a number of factual elements. Whilst in itself, this is fine of course, what we would need to see to gain higher marks would be critical discourse on the concepts and ideas, drawing from the relevant research, and synthesising an argument. This is something to consider for future submissions. As this stands, though, this seems like a really good basis for a wiki article, and works on that level rather well.


 * Although this essay is written in an accessible style, and your argument is fairly well structured for the most part, there are clear moments where you need to take much more care in your phrasing and use of academic English. There are, additionally, some grammatical slips dotted throughout the essay, as well as some typos, that prevented you from attaining higher marks. This is something to take forward: attention to detail is an absolute baseline at this level.


 * You make fair use of the wiki platform – breaking up chunks of text into smaller, accessible sections, using captioned images, to deliver an easy-to-read essay. I would have looked at the formatting and considered the balance of images and text as they appear on screen, and perhaps moved things around/added further images to enhance the effect. You have demonstrated awareness of some underlying issues inherent in the theme itself, but making those connections with the workshop discussions and especially, the work encountered through the set reading on the module, would have benefitted this essay significantly. Nonetheless, this is a fair attempt at a first essay at this level, using this somewhat unfamiliar platform – and shows potential, going forward.

'''N.B.: Feedback for your Discussion, engagement and contribs elements for the assessment will be given on your individual User Discussion Pages. That individual feedback should be considered in relation to the feedback here, because of the fundamentally connected nature of the two tasks. Grades for all work will communicated confidentially via Canvas.'''