BIBA students at FCU blog about big data

Student Name: Praewwanit Tiwasing ( 倪婉欣 ) Student ID: M0798633 Blog#4: Data Security in the Cloud Website:  https://www.experfy.com/blog/data-security-in-the-cloud?fbclid=IwAR0Iqh02sY5B1ecpEZTnR5KNIfhbQq6zubckX0ly05NZajeloWfVVnuzZqU The blog provides valuable knowledge regarding Cloud services. It focuses on the risks when using this technology service. Nowadays, people use Cloud services technology for their personal use and businesses. There are 3 basic service models which are; Infrastructure as a Service (laaS), Platform as a Service (PaaS), and Software as a Service (SaaS). However, each of these models has a distinctive effect on the Cloud security. Both Cloud service providers and users have their own responsibilities. The Cloud service providers must have experienced staff, well-equipped data centers, and adequate logistics. At the same time, the users have responsible to protect their access. The most important thing is you must have confident i...

Reference website: https://www.sas.com/en_us/insights/big-data/big-data-marketing.html The article talks about how big data matters to marketing. "48% customer analytics, 21% operational analytics, 12% fraud and compliance, 10% new product and service innovation, and 10% enterprise data warehouse optimization are among the most popular big data use cases in sales and marketing." (Luis Columbus, 2016) From the data, it showed how important big data marketing is a critical topic for a business student to know, and it is a skill that they must have not only in the future.  Though the article showed how big data involved in the market and how it works, using big data, the challenges it is going to face is knowing what data to gather, which analytical tools they should use, and how to go from data to insight to impact. If a company wants to understand what its customers want, they will need to analyze its sales database, or they want to improve its company operations...

Student Name: Praewwanit Tiwasing ( 倪婉欣 ) Student ID: M0798633 Blog#3: Why You Must Leverage Big Data to Boost the Success of Your E-commerce Business  Website:  https://datafloq.com/read/leverage-big-data-boost-ecommerce-business/6454 This blog provides information about how to leverage big data for the success of your businesses. It is crucial to know how to use big data analytics. It is divided into 4 main parts as followings; (1) Provision of a personalized user experience Big data tracks visitors' behaviors on the website. It tracks products which visitors have searched or bought in the past. Then, it personalizes recommended products to satisfy customers' experiences.  (2) Trends prediction Big data analytics includes the use of trend forecasting algorithms. The algorithms tracks browsing behaviors and social media posts of audiences. Then, it predicts the next trends. It is very important for entrepreneurs to know about new trends as the busines...

Student Name: Praewwanit Tiwasing ( 倪婉欣 ) Student ID: M0798633 Blog#2:  3 Big Data Technologies That Are Reshaping Digital Marketing Website:  https://www.smartdatacollective.com/3-big-data-technologies-are-reshaping-digital-marketing/ In recent years, AI and big data have emerged and reshaped digital marketing field. This blog introduces three innovative technologies which already changed digital marketing world. (1) Artificial Intelligent (AI) Today, artificial intelligence becomes one part of digital marketing strategy. One of the key feature of artificial intelligence is to analyze consumers’ behaviors which mainly focusing on personalization and interactive experience. Amazon and Netflix, two well-known brands, have already incorporated artificial intelligence to accommodate consumers to get the best services. (2) Voice Search Voice search becomes popular nowadays.  Here are some examples of voice search: Alexa, Google Assistant, Siri, and Co...

Student Name: Praewwanit Tiwasing ( 倪婉欣 ) Student ID: M0798633 Blog#1:  Big Data: 50 Fascinating and Free Data Sources for Data Visualization Website:  https://www.bigdatanews.datasciencecentral.com/profiles/blogs/big-data-50-fascinating-and-free-data-sources-for-data As everyone knows that Google is the most popular online data source, however, there are a lot of websites which can offer you valuable data. Therefore, this blog provides various data sources which categorized into four main types; (1) general data, (2) government data, (3) Google, and (4) market data. For general data, the blog recommends to use data from World Health Organization which focuses on global health and diseases. Furthermore, the blog suggests to utilize Figshare and GitHub for sharing research results and data sets to other people. In addition, Amazon Web Service is a cloud-based data platform which suitable for discovering more science-related data. Additionally, here are the list of...