BI in Facebook
What BI applied in this case?
* Gain the knowledge of extracting the customers’ preferences by using Facebook * When people take photos and share comments about the campaign on the Facebook page, It can use text mining to obtain the comments and analyze their preferences. * Using web mining, such as Web Crawler, It could gather personal information about those people such as age and gender. * Text mining to extract that information and use association analysis to analyze the associations between their preferences and such personal information. * When people take photos and tag their friends on their Facebook pages, it can help company able to reach and target the potential customers. By analyzing all the information gathered, it helps to design and implement other effective advertisement and products as well. Coca Cola vs. Facebook - The Recycling King Campaign
What is the story about?
The Recycling King Campaign inspired by Coca-Cola. It used Facebook to be an online platform to increase people’s awareness for recycling plastic bottles in Israel. Coca-Cola created over 10,000 recycle bins locations to the Facebook system. Thousands participated and shared the recycling experience with their friends by checking in and uploading photos on Facebook. Everyone knew how easy it was to track the location of nearby recycle bins after the campaign. Coca-Cola was successfully using user-generated content to create such Viral Marketing, which is using the network effect to increase brand awareness. As the campaign promoted Corporate Social Responsibilities, many people supported and joined the campaign. They gave a “like” for the campaign on the Coca-Cola’s Facebook page, and therefore, all their friends and even friends of friends knew the notification immediately. Through the positive word-of-mouth, the viral marketing spread a good image geometrically for the company in a short time. It used far less advertisement budget than traditional advertising method, especially for such international business. BI in YouTube
Data volume is main ingredient of Business Intelligent. The analysis will be more precise and trend to reality if the data pool is large enough. Some company will combine the technic of SEO (Search Engine Optimization) and BI technic to achieve their goal. * Companies use the unique keyword to increase its usage volume in short period of time. * The keyword’s ranking will be increase dramatically if someone searches the word. People can find it easily and quickly by searching the keyword. What BI applied in this case?
* During gaining the keyword and search engine ranking, they will use some data extract tool to analysis the video comment, users region. * Collecting UGC correlated data pool, they will analysis base on some word pattern to estimate public interest * Take a simple example: if the data pool have contain frequent word of “wonderful”, “Awesome movie” which means that the movie content is successfully gain the public interest and company can setup their business strategies based on their customer’s feedback. PSY vs. YouTube
What the story about?
PSY, South Korean rapper, is the famous singer all over the world due to his hit single “Gangnam Style”. Everything is started from his humorous music video is uploaded to YouTube and its hit rate is dramatically increasing in a short time. Now he gets over 600,000,000 views and earned more than 10 million US dollar. How “Gangnam Style” can again such a high hit rate.
* Setup his business strategies by using UGC (YouTube) & BI: Since YouTube are tag based UGC. It uses tag to categorize different type to video or link them together if their tag is matched. It’s easily to gathering what tag are frequent use and investigate the public interest. * For example, if “Funny”, “Music”, “Korean” are frequently tagged in Gangnam style, we can estimate that many of follower or...