“This is not a prophecy, but the physicist Barra Brazil, through research, suggests that 93% of human behavior is predictable, which means that when people conduct activities, they extend their observations to predictions and then go into control.”
That is to find out the specific characteristics of a set of data objects in big data, according to the classification into different groups to match a given customer, mainly using attributes and characteristics as the analysis of consumption trends and customer satisfaction for marketing.
Can clarify the value of the attribute in the data of the object, the direction formed by the change of time, and the relationship of mutual dependence, including the relationship between the forecasting trend of the order and the transaction, and apply to marketing, such as finding customers and maintaining existing customers. Preventing loss, which in turn leads to a targeted marketing direction for product cycle rate analysis or sales trend assessment.
It is to divide a group of data into each category according to similarity and difference. The purpose is to bring the same category closer to similarity, separate the dissimilarity, apply to customer group classification, attribute analysis, purchasing power prediction and market segmentation. The so-called clustering is to discover important customer attributes, to make things sorted, people to group, and to classify accordingly. For example, the banking sector conducts customer segmentation risk assessments for trusts or project investments.
Emphasizing the relevance analysis is the pursuit of ambiguity, rather than precise errors, to find out the association rules between data items in the database, that is, the occurrence of an event that may lead to another thing happening in the same situation or seemingly Interrelated affairs involve interesting interrelationships. Form non-associative association orientations hidden in the data, as product positioning, pricing, developing customer groups, managing risks, researching production, and influencing marketing effectiveness.
The selection of the main reasons for the characteristics of the data or the loss of business caused by the slow sales of the products is used as a reference.
Refers to an inconspicuous example of intriguing data, such as expected bias, and an exceptional answer to assess the difference in observations. This is for the enterprise crisis management, its abnormal tips to find out what kind of unexpected gains, and the unexpected regularity through the mining to detect various abnormal dynamics, analysis and evaluation, identification and other aspects of prevention.
Collect all industries, various market customers, behavioral data and all relevant analysis of competitors. This has a major impact on the business. According to the analysis, we can find out the problem that caused the crisis and solve it in advance.
In the era of big data, traditional commercial competition has long had no border disputes. It is more predictive of future data analysis. Through deep mining, it can predict future trends and user behavior predictions, and use known data to find unknowns. The answer is to convert the data into an impact index, and then make forward-looking knowledge decisions to seize the market.
Jacky Liew is a award-wining food critic in Malaysia, better known by his pen name Food Master. He possess the title of "Malaysia Food Critic" and "Fod God". Due to his outstanding performance, he was conferred Medal for Outstanding Public Service from the tenth Yang di-Pertuan Agong of Malaysia (equivalent to king). It is the great honor for him who trusted by the king to make a descriptive record of royal. He is also a recipient of World Food Gourmet Badges and inducted as Chevalier.
Furthermore, he was ranked among star chefs of Malaysia, Singapore and Taiwan in 2014.
He is also a lecturer and advisor of Today Agriculture College in 2002. In 2006, he was invited to become the National Business Coordinator in Nanyang Press. In 2007, he was involve in political commentary who met with 119 politicians. He won Outstanding Paper Award in 2017. In 2018, Jacky was the research object in the master thesis of University Abdul Rahman Food Review and Its Implication on Malaysia Chinese Food Consumption by Wan Mee San.
Now, he is transformed his path from food review writing to online film recommendation and extends to big data, cloud computing and digital technology. He is dedicated in redefine the current gastronomical field and selection of best food through "data analysis-based promotion" and "intelligent machine technology". This is helping to build a new smart catering and F&B industry.
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