HongChi

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Last Blog Exercse

Wow.. 時間過得真係快，咁就到左最後一個exercise, 既然係自己既blog,可唔可以用翻一次中文呢...never mind, I just don’t want to re-do...

小肥－負親

I am a active Youtube user who browse Youtube everyday. There are many videos I liked before. But this, this MV is special for me. 

Sometimes we know that something is important for all of us, but we always don’t know how to treasure it. We will start to regret after we lost it.

Hope all of you enjoy. 

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Question for Tutorial 5

Sorry for being late. Now I would like to talk about the question of 

An online community is a virtual community whose members interact with each other primarily via the Internet. There are some examples of online communities such as social networking sites, chat rooms, forums, discussion boards.

What opportunities are online communities bringing for brands?

Some online communities such as forums/ official Twitter of the brand find favor when guest experts or well-known personalities are available to answer participants’ questions. For examples, sometimes people may ask some questions about iPhone, the brand employees may not free to answer but there are some other people who are well-known about those products may help to answer it. These may helps the brand to relief their workload and at the same times, providing a better user experience towards the customers.

In this forums, a user ask how to solve this problem. After that, there are many forum users help him to solve this question.

In this case, some “guest expert” help the other customer to solve the question without adding the workload for the brand’s employees, which create a opportunity for brand to improve it’s customers satisfaction without costs.

Also, these questions that user ask may helps brand understand what problems their products have in real time. Through understanding all these problems, they may find the way to improve their products as soon as possible.

When a topics of the products becomes popular in online communities, it potentially creates a new marketing tools. By making sure that consumers can interact freely with each other and build a friendly online community, marketers can follow consumers’ perceptions about and feelings toward the brand in real time. The more communication and interaction, the stronger the community, and the better the feedback. Interactive online media will enable marketers to sense market forces with unprecedented accuracy and efficiency, overcoming the limitations of today’s one-way research methods.

The above is the examples of how the brands act as a passive side and gain opportunities. However, some brands are not popular and it is hard trigger people to discuss about it. Therefore, brands can actively trigger people to discuss through owning an official Twitter accounts, etc.

Hosting a Twitter post is a great way for a business to bring its potential and current customer base together to learn, engage and build a deeper relationship.

Just takes Whole Foods Market as an example, it frequently post some recipe on its Twitter page and it can trigger many people to discuss, which can build a deeper relationship towards customers and the brand.

Also, through owning these kinds of page, brands can easily promote their brand. It allows to promotes products and/or services during the Twitter chat through posting some banner ad or others without using a huge amount of cost.

After some twitter chats becomes popular, brands may gain lots of new followers each time you hold the chat. In addition, brand build it’s social influence power.

What challenges are online communities bringing for brands?

Online communities allow visitors to choose a user name that is not associated with any real information about the person using it. They may normally think that they don’t have to bear the consequence of what they have said. In this way, some brands may hire some ＂Cyber fighter” 網絡打手 to slander other brands. These may cause a thread towards some brands. 

Openrice is one of the websites that many people think it contains many “Cyber Fighter” on it. It is hard for people to determine isn’t it real. Moreover, this “Cyber Fighter” issues will affect some brands’ image is an incontestable truth. 

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Tutorial 4

I am going to talk about big data.

Firstly, there are three main characteristics of big data which are high volume, high velocity and high variety information. 

Volume of Big data

The volume is high due to many reasons. Firstly, there are many transaction-based data through many years. Also, the data from social media, machine-to machine data increase the data volume. Big data is being generated by everything around us at all time. Every digital process and social media exchange produces it. During the growth of technology, the storage costs is being low so it can store more data and the volume become higher. However, how to determine relevance within large data volumes is one of a key issues. 

Velocity of Big Data

Data is streaming really fast. In some aspect such as RFID tags, some sensors and smart metering needing to deal with data in near-real time. Reacting quickly to deal with this fast data velocity is a challenge for some organizations.

Variety of Big Data

Data is diverse and doesn’t fall into neat relational structures. Some of them may be text from social media, image data, a raw feed directly from a sensor source, numeric data, video and financial transaction, etc. None of these come ready for integration into an application. 

Here is a video which talks about the 3Vs of Big data.

Use of big data

Through collecting, organizing and analyzing big data, we can discover some useful information. Big data can help organisation identify the data thai is most important to the business and future business decisions such as cost reduction, time reduction, new product development and optimized offerings. There are some examples to determine root causes of failures, issues in near-real time. It can helps some logistics companies to better optimize routes for many packages delivery vehicles. It can generate retail coupons at the sale bases on the customer’s current and past purchases. All these examples show that big data can helps the business in many ways.

Also, the advances in analyzing Big Data allow researchers to decode human DNA in minutes, determine which gene is mostly likely to be responsible for certain diseases and, of course, which ads you are most likely to respond to on Facebook.

France's Orange launched its Data for Development project by releasing subscriber data for customers in the Ivory Coast. Researchers accessed the data and sent Orange proposals for how the data could serve as the foundation for development projects to improve public health and safety by tracking cell phone data to map where people went after emergencies.

source:

http://www.datamation.com/applications/big-data-analytics-overview.html

With the right big data analytics, business can boost sales, increase efficiency, and improve operations, customer service and risk management.

Here is a video which talks about the use of big data.

Confusion or misconception about big data

There are some misconception about big data. Firstly, people may think big data can surely leads to big changes. However, big data is not actionable, even after a data scientist identifies the valuable information. For instance, simply identifying the patients at risk of readmission does nothing to improve those patients' outcomes. All big-data technologies need to create processes so that someone can take the information and implement it. 

Also, After mentioning all the benefits about big data in the above part, people may think that big data surely more valuable than little data which means a smaller set of data. However, huge quantity don’t means it also high quality. Even though big data has a huge quantity of information, the quality of that information may not always be what someone is looking for. Sometimes litter data is better than big data that the information of little is more controlled, clean and unique.

Then, someone may think Big data is surely valuable. However, some dtaa itself has no any value until they become sorted, processed and distributed. 

Lastly, someone may think that Big data is just for the people in IT. Only they know how to deal with it. But the truth is that 45 percent of big data deployments are for marketing. That means big data is for all the people. Big data can be illuminating and actionable, if you’re willing to dig in on the marketing side.

It is a video which talks aout his opinion about the misconception of Big Data.

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Exercise (Tutorial 3)

Hello. In this article, I would like to talk about Web 1.0 - Web 3.0.

In Web 1.0, there is only limited interaction between sites and web users. Web 1.0 is simply an information portal where users passively receive information without being given the opportunity to post reviews, comments, and feedback.

To be concluded, Web 1.0 sites are static. They contain information that might be useful, but there's no reason for a visitor to return to the site later. An example might be a personal Web page that gives information about the site's owner, but never changes.

Web 1.0 sites aren't interactive. Visitors can only visit these sites, they can't impact to the sites. Most organizations have profile pages that visitors can look at but not impact.

Web 1.0 applications are proprietary. Under the Web 1.0 philosophy, companies develop software applications that users can download, but they can't see how the application works or change it.

Example of Web 1.0 website

This is an example of web 1.0 because it contains rich information but the users cant interact with this page.

Unlike Web 1.0, Web 2.0 facilitates interaction between web users and sites, so it allows users to interact more freely with each other. Web 2.0 encourages participation, collaboration, and information sharing. 

The social nature of Web 2.0 is another major difference between it and the original, static Web. Increasingly, websites enable community-based input, interaction, content-sharing and collaboration. Types of social media sites and applications include forums, microblogging, social networking, social bookmarking, social curation, and wikis. 

Example of Web 1.0 website

This amazon website allows users to post their book review on it which encourages users to interact with the webpage.

Web 3.0 is a semantic web which refers to the future. In Web 3.0, computers can interpret information like humans and intelligently generate and distribute useful content tailored to the needs of users. One example of Web 3.0 is Tivo, a digital video recorder. Its recording program can search the web and read what it finds to you based on your preferences.

Computer scientists and Internet experts believe that this new paradigm in Web interaction will further make people's online lives easier and more intuitive as smarter applications such as better search functions give users exactly what they are looking for, since it will be akin to an artificial intelligence which understands context rather than simply comparing keywords, as is currently the case. While 

Web 2.0 uses the Internet to make connections between people, Web 3.0 will use the Internet to make connections with information.

Here is a video which talk about web 3.0.

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1st blog

Hello, I am HongChi. And this is my 1st blog.

Q:In what ways can you relate to this course?

A: My dream job is becoming an advertiser. Therefore I want to learn more about media knowledge. 

Q:What topic(s) in our 13-week schedule are you interested in?

A: Game culture.

Q:What question(s) do you have about new media culture (or the above topics that you are interested) now?

I think that culture is a topic that is difficult to study.