BIBA students at FCU blog about big data

The fashion industry has undergone a ton of changes in recent years. The fashion designers are using big data to create and market their clothing. By using big data, the fashion designers can learn the information about customers’ preferences and ensure their business remain success. Big data can help fashion designers to choose the right colors. They can collect market data on previous fashion lines. Using big data, fashion designer can see which colors are most popular and make change to their designs to meet the needs of their customers base. Also, big data can provide customers with average prices which customers can afford. Another advantages of big data in fashion industry is that help designer to target audience. Because every designer has different customers, they wonder which customers are making their purchases, how many items are sold and their size they purchased. Using this information, they can determine to target on Men’s or Women’s clothing. Predicting the trend is also...

  Recently, the world is affected by coronavirus. Education goes remotely. The traffic online course is growing exponentially. People google eLearning programs, and pupils install software to do their homework and checked by teacher online. Video learning is practiced by school to conduct lessons remotely. The power of vast of learning all the information is transforming education right now. Later, the scientists will examine all the information on how this software was used in the world, and what problems faced, what their preferences were, how often or rare their attendance was, and so on. They need to check a series of problems the users faced when they use the software. Big data in education will help teachers and professors to analyze students’ achievements. Large amounts of data coming every day from eLearning resources provide meaningful insight on students’ performance, attention habits. It is much easier to review the efficiency of software or online course. Big data makes...

Shopee is the famous online platform in Taiwan and in Southeast Asian. The reason why Shopee can be successful is ecommerce player’s business is heavily driven by big data. The company is focused on improving user experience as well as enhancing internal process to boost work efficiency and reduce the costs. Therefore, data plays a major role to execute these goals. Shopee’s main model relies on data to provide valuable recommendation for buyers—a system powered by AI technology embedded into mobile app. the technology collates data on shoppers’ past browsing and purchasing patterns, and this information will be used to push relevant products through shopee’s feed and Daily Discover features. Besides, data provides shopee’s brand partners with relevant insight to identity consumer behavior, which in turn supports vendor’s inventory management. It is very helpful when the vendors face the annual important campaign like 11/11 and 12/12 shopping discount activities. Despite the value shop...

  Big data have three main primary characteristics, volume, velocity, and variety. These are the basic components of the big data. We need to have these data to analyze and predict our data.   Even in these days of big data, its application across diverse industries are compelling. Retailers use big data to combine RFID sensor data, social media data and GPS coordinates to evaluate the location, product selection, and individual profiles in order to deliver geo-specific products promotion to mobile service   Using big data is a better way to understand massive amounts of data associated with process and costs related to supplier, manufacturing, logistics, quality control, customer service, and so on. Also, it has used to establish predictive performance models to address quality issue before the company have the negative effect on customer satisfaction. This is the surface advantage of big data, but in this article will talk more information about its concept.   Ther...

In this article, I can learn some benefits of big data. It not only provides us convenient way to read and analyze the information but also helps us to look for the best strategy. A customized entertainment experience can be observed in music streaming services that process both crowds sourced as well as data drawn from libraries to come up with the suitable playlist tome. KKbox is the music streaming which I used. The system will recommend me the relative songs or playlist to me. I do not spend additional time on searching the songs and playlist I like. It is convenient for me to use this music streaming. Big data also contributes to our safety. Insights drawn from big data are used to predict the places and blocks of time that crime is likely to be commuted. The information provided can assist the police to determine where to station their officers as well as what times.  Chatbots improve our experience. Chatbots have become part and parcel of our daily lives because of their eff...

https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o It is saying that how big data is transforming the architecture, and there are some ways to change the architecture industry. As the article had mentioned, in New York, there was a type of architecture is emerging in which large skyscrapers, such as 375 Pearl Street , are being retrofitted into digital warehouses that accommodate computers rather than people. Similar buildings are popping up across the United States for the purpose of storing and analyzing data. These highly secured, windowless, and climate-controlled repositories are filled with our cat photos, banking transactions, and drunken text messages, not to mention all that data from the built environment. Nowadays, big data is turning building into smart buildings, more and more people are wanting buildings that can provide information and big stores of data. Companies are asking for data reports to improve the performance of thei...

D0766555 梁開恒 https://blog.syncsort.com/2017/04/big-data/big-data-and-privacy/ Data itself is not the problem, bad management data is. So, protecting both big data and privacy is important, and we can do it with proper data management. The organizations that collect big data about their customers like Yahoo, bank or Facebook are the targets for attackers seeking to steal and exploit private data of their customers. In order to use data securely and protect privacy, you need to understand the privacy challenges associated with Big Data. When you collect and analyze Big Data, you create a number of attack vectors that exist at different levels of the infrastructure that stores and processes the data. The vectors include: The physical and/or virtual servers that host the data. The databases in which the data lives permanently. The RAM in which the data is stored when it is not at rest. The network over which the data is transferred. The data analytics platform you use, like Hadoop or Spark...

website: https://dsianalytics.com/useful-big-data-fastest-way/ Why do we need to understand the big data?  Big data can provide us with useful information and help the company to analyze whether strategy is suitable for their customers and make more profit, and so on. Nowadays, even small to mod-sized companies start getting valuable insight from big data within just few weeks or days. And what exactly is this customer journey Big data?         Running a web site, and the web server will continuously be receiving request and sending the information to the web browsers or mobile devices. Thousand of times per second, your digital guests are entering text, checking the boxes, clicking the links, scrolling the pages, and eventually exiting, with or without any transaction. Web servers typically record much of this data in the form of web logs, which end up holding a lot of rich data.         Most web platf...

Name : 李昀真 Student ID:  D0740725 Facebook is one of the most popular social media, it has more than two billion active users worldwide. This article shows some examples about how Facebook uses big data and how it determines the user behavior.  Facebook uses tracking cookies to track its users on the web. If users log in to Facebook and browse other websites at the same time, Facebook can track the websites they are visiting. One of Facebook's latest investments is facial recognition and image processing functions. Facebook can share the image data provided by users, and track its users through the Internet and other Facebook profiles, which could have some privacy concerns. There is recent study about analyzing likes, it showed that just by analyzing users’ Facebook likes, it is possible to accurately predict a series of highly sensitive personal attribute data. An example that show how Facebook uses its Big Data The flash back is something Facebook provides users with the...

website: https://blog.bismart.com/en/why-work-in-a-big-data-company Big data companies are opening up a whole new world of possibility across global. I wonder how to analyze Big data and make money. Big Data companies and Data analytics are become more and more important in the business. They not only provide information for their customers but advise their customers with better decision.         The demand for data engineers is increasing. there are too many data to be used for companies. Data can reveal new revenue streams for business to increase their turnover, by helping their customers understand their target customers base. Big data can help optimize our practices and reduce waste and costs. It is a trend for future market to establish better mechanism for data analytic.         Data analytics increased significant value to their own organization. Big data solutions can be put to use in so many ways t...

D0740857 Susan Wu 吳采霏 June 26, 2020 Comment #5 4 Ways Big Data Is Going To Revolutionize The Fashion Industry I have heard of a combination of big data and healthcare or a combination of big data and music industry. However, this is the first time I heard that big data can “revolutionize” the fashion industry. As I know big data can analyze structured and unstructured data. Therefore, I think big data can help some fashion retailers.  When it comes to fashion, the first word that came up in my mind is the trend. Time goes so fast just like fashion. It keeps changing all the time. With big data analysis, fashion-designer can know what trend is right now and even predict the next coming trend. You may wonder how big data can generate the results. First, by tracking Google search, people type and ask google every day. Through the algorithm, big data can reject useless data to forecast more precise results. Second, designers can see how many potential customers are looking for...

D0766555 梁開恒 https://datafloq.com/read/how-big-data-can-help-in-a-pandemic/8225 The past few years have witnessed the rise of big data, while some people were thinking about the role of big data when the crisis is coming. The continued spread of COVID-19 has led many to ask how big data initiatives can help in a pandemic. It’s becoming increasingly clear that our ability to generate, record, and analyze data is an essential part of our pandemic response strategy. When it comes to responding to a pandemic like COVID-19, contact tracing is of immense importance. Contact tracing involves tracking down the individuals that you came into contact with after being exposed to a contagion like COVID-19. if we’re incapable of determining who the infected were in contact with once they became contagious, we’re incapable of preventing the spread of the infection. And, big data have done a good job in this area by working with smartphone apps to track where and when people are going in each day, th...

website: https://www.kolabtree.com/blog/5-companies-using-big-data-and-ai-to-improve-performance/ Big data and AI are very important for the companies. They can leverage the actionable intel to build up better campaigns, make more informed decisions and even predict customers behavior. There are five companies use these technologies to improve their performance and efficiency and deliver better customer experience.   Starbucks:         Using the mobile app and vast data stores to display preferred orders to baristas before customers even get to the counter. It also improves performance considerably, speeding up order and services time, especially during the busiest hours. Members of the Starbucks reward program and mobile app often use it to order drinks, which means customers can save time to wait for their orders. The company uses this service to gain their customers’ habits and preferences and they also can look for new and potential marke...

Name: Sally 何昕朣  Student ID: D0740993 Blog10: Can Big Data Be Racist? Source: https://thebolditalic.com/can-big-data-be-racist-the-bold-italic-san-francisco-48f41d60a118 Can Big Data Be Racist? According to the article, I think the answer is yes. Although the application of big data has been so developed, there is also discrimination hidden in the neutrality of big data.Under the application of big data, discrimination is wrapped in a coat of "technology neutrality". Under the general assumption that the software and algorithms used by big data are objective, the main body of the decision will use the "prediction" obtained by big data analysis as the basis for its decision, ignoring the underlying discrimination and prejudice, and the decision may be made It will only strengthen the original discrimination, and the consequences will be more serious. In fact, technology is likely to be biased. It may be that the selected cardinality is too small, the data u...

Name: 李昀真 Student ID: D0740725 In this article, the author is going to talk about the practical examples of using big data, which can be useful for small companies. Big data can provide small businesses and independent traders with the same opportunities as large companies. In many ways, big data is more suitable for small businesses because they are usually more flexible and can act faster. Here are some method that is mentioned in the article, to understand what makes the customers tick, because of the Big Data the companies get to know more about their customers, such as what they prefer or what will they buy next time. Companies can also analyze customer feedback to improve products or services to better interact and interact with customers. To identify trends, by discovering and monitoring behaviors and patterns, we can predict future developments, the ways in which the demand for products or services change over time, and the ways to promote change. Trending topics on Faceb...

Comment#5： How Is Big Data Transforming Business? Name /  Student ID: ：Sharon 林易宣 /  D0740755 Source： https://www.bernardmarr.com/default.asp?contentID=767     After reading “How is Big Data Transforming Business” from Grace Li’s article, here are what I get in some industry performances. For the retail market, in online and offline channels, it could be integrated with complete information immediately. Recently, I knew an e-commerce platform called Shopify, and it took lots of advantages. Once you need to integrate with the membership’s information, Shopline Kiosk O2O provides CRM tools or membership management systems from your single channel to the O2O market for merchants. From this help center, you can reach much of accomplishment, such as brand promotion, inbound marketing, and acquired customer’s confidence. Another tool called Broadcast Center, through this tool’s helping, you can send any message directly to your customer’s social media acco...

Comment#4： Here’s how Shopee is developing the next generation of data science and AI talent Name /  Student ID: ：Sharon 林易宣 /  D0740755 Source： https://www.techinasia.com/heres-shopee-developing-generation-data-science-ai-talent After reading Chloe’s article, I have a comment on her article. Most of Taiwanese know Shopee platform the best, some customers like Shopee’s app classification or convenience operate actions, some sellers like Shopee’s backstage system or trusted channel in logistics. Maybe here are not the reasons you choose to buy or sell on Shopee, however, you can deny with Shopee as a clever company. According to Pan, she focused on enhancing the internal process to boost work efficiency as we as improving customer experience and reduce operating costs. Pan also mentioned that there is a strong culture of continuous learning within Shopee itself. Yes, definitely, technology won’t stop, everything just gets better working gradually. One of the thing...

Comment#3： Big Data Behind Disney Magic Name /  Student ID: ：Sharon 林易宣 /  D0740755 Source： https://digital.hbs.edu/platform-digit/submission/big-data-behind-disney-magic/ After reading Connie’s article “Big Data Behind Disney Magic”, I have some reflections with Disney’s technology. With Disney’s high quality, it could more enhance its reputation. In their one example “Optimizing Park Logistics : MagicBands”. It is kind of a new service you can’t find in another theme park. This wearable bracelet allowed guests to make convenient payments and reveal the set of customers waiting in a long line for a ride. Kind of incident like waiting for a long time could be impacted in bad feedback, Disney would monitor every user’s movement and collected in data analytics, all of the data could be used for their operations team and improve their customer experience. Because of the wealth of data, Disney could develop more kinds of innovative features for a park.   ...

Comment#2：How Taiwan Used Big Data, Transparency and a Central Command to                         Protect Its People from Coronavirus Beth Duff-Brown Name /  Student ID: ：Sharon 林易宣 /  D0740755 Source： https://fsi.stanford.edu/news/how-taiwan-used-big-data-transparency-central-command-protect-its-people-coronavirus How could Taiwan not defend by COVID-19 this year? Why Taiwan could just be the country which used to be predicted for serious death numbers but finally reverse the situation? This problem may cause some questions for a foreign countries. It could be traced back to Feb, 5 th after the large scale confirm numbers in Diamond Princess, then 2700 of the passengers went through immigration into Taiwan. Everyone just concerned about cluster spreading, so the government did a quick reaction for follow-up study. They used big data tools to do the following research, and printed out every passen...

Comment#1： 7 Ways How to Use Big Data in Social Media Name /  Student ID: ：Sharon 林易宣 /  D0740755 Source： https://www.byteant.com/blog/7-ways-how-to-use-big-data-in-social-media/ For omnichannel sources, it really needed to be dug in with big data notion. A fter time goes by, the digital industry wants to draw close to the physical areas, at the same time, physical channel wants to discover more ways in the online channel. All your information needs to be integrated seamlessly, from this point, it is the time you had better use social media. To build a prestigious brand, feedback is an important indicator for your business, every bad comment could affect your reputation. From operating a company, customers need a trusted channel to keep in touch, this is why real-time interaction and security protection need to be established. Get big data’s tool, you can more quickly know customer’s preference, they found the user’s past history to much better know their interests and...

https://www.thebalancesmb.com/how-the-construction-industry-is-using-big-data-845322 In the article, I have learned that big data has applied on designing, building and operating. As construction projects become more complex, big data may soon become the most important tool at a construction company’s disposal. In order to effectively use all the data being collected, it need to have the right systems and software solutions in place. In term of designing, big data, including building design and modeling itself, environmental data, stakeholder input, and social media discussions, can be used to determine not only what to build, but also where to build it. As the article had mentioned, Brown University in Rhode Island, US had used big data analysis to decide where to build its new engineering facility for optimal student and university benefit. Besides, the building, big data from weather, traffic, and community and business activity can be analyzed to determine optimal phasing of con...

Name: Sally 何昕朣  Student ID: D0740993 Blog9: Big Data's Fading Bloom Source: https://www.forbes.com/sites/bradpeters/2014/02/28/big-datas-fading-bloom/ When big data is widely used in the field of market research today, does traditional questionnaire market research still have its place? Compared with traditional market surveys, the advantages of online big data analysis are very clear: by passively collecting website visit records, community text, and so on. You can easily reach the parental breadth and user volume that the questionnaire cannot reach, and collect huge amount of information. In addition, the data collection and analysis of the user's "behavior" can also answer many questions that traditional questionnaires cannot answer. For example, from the cookie information, it can be seen that the user likes to listen to music at different times, or find out shopping habits and Weather association. These even unconscious user behavior patterns are n...

website: The Complete Guide to Artificial Neural Networks: Concepts and Models This article will provide a brief introduction to all the important concepts of Artificial Neural Network and explain how to use deep learning framework like TensorFlow and PyTorch to build deep learning architecture.   A shallow neural network has only three layers of neurons: n     An input layer: accept the independent variables or inputs of the model n     One hidden layer n     An output layer: generate predictions   A deep neural network is more accurate and improve in accuracy as more neuron layers are added. Additional layers are useful up to limit of 9-10, after which their predictive power starts to decline. Nowadays most neural network models and implementations use a deep network of between 3-10 neuron layers. Here is glossary of basic terms we should know u    Inputs: source data fed into the neural network  u    Trai...

Name: Sally 何昕朣  Student ID: D0740993 Blog8: Big Data Career Switch: 4 Key Points Source: https://www.informationweek.com/big-data/big-data-analytics/big-data-career-switch-4-key-points/d/d-id/1110788 In fact, data analysis will not deviate from business existence, which industry you enter, to a large extent will determine your initial skill tree and skill points. For example, the risk control model in the financial field, the life cycle in the marketing field, and the click-through rate prediction in the advertising field have their own characteristics. The route of data analysis can be roughly divided into four directions: 1.Data Analyst This is a data analyst in the business direction. 2.Data exploration/algorithm expert: data post in technical direction This is a technology-oriented data post, some are classified in the R&D department, and some are set up separately.Data exploration engineers require higher statistical ability, mathematical ability a...

Name: Sally 何昕朣  Student ID: D0740993 Blog7: 5 Big Wishes For Big Data Deployment Source: https://www.informationweek.com/big-data/big-data-analytics/5-big-wishes-for-big-data-deployments/d/d-id/1109606 Using below five big data deployments is the key to the prosperity of IT professionals. 1. Apache Hadoop 2. Apache Spark 3. NoSQL database 4. Data Science and Analysis Data science and technology are having a huge impact on the economy, and the technology and financial industries embrace these skills faster than other technologies. 5. Data visualization Data visualization sets the business environment for the content of the data, making it easier for non-analysts and stakeholders to understand the model and make decisions accordingly. It turns out that in today's IT workforce, there is a magic wand that can become a top actor. Two words: "data skills". Quickly searching for the term "big data" on any popular job portal will b...

D0740857 Susan Wu 吳采霏 June 26, 2020 Comment #4 How Netflix used big data and analytics to generate billions I am a Netflix addict-or. When I first entered the main page, thousands of series and movies bombed out in my sight. After watching several movies to some extent, I found that the main page will keep changing all the time which I like very much. Sometimes, it will show some videos which I had watched for a long time ago. It makes me want to review it again. Also, I always wonder why Netflix can often recommend me so many series based on my interests. This article just gave me some insights and views.  It also talks about how Netflix collects data from its subscribers. For example, there is a thumbs up/down bottom for subscribers. They can tell whether it is good or not by clicking the bottom. Then, Netflix can collect all the data to create a database. Finally, it can put all the data and run the algorithm. It is pretty smart for Netflix to do so.  Netflix also...