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This way, the data is understood or is used for any future marketing campaigns. This type of technique is usually used by many analysts.
Issues relating to security of the information obtained by companies about individual customers. This information is prone to crimes such as hacking creating major security concern for both customers and companies.
Many customer do not give out their information easily because of privacy complains. This way it is not possible to accurately draw relationship or trend in any particular data as the data may be considered incomplete.
Airline companies use data mining techniques to improve their servicing towards customers. The data that is mined to find hidden patterns is about frequent fliers. The issues selected for mining in the frequent flier program are firstly to identify customer characteristics, their most frequent flying zone, class and period of the year in which they usually fly. Secondly, to discover pattern between the sectors based on the activities of the customers. The data mining technique is applied to customer data in three ways: category type, booking type and sector type. Category type revealed that discretionary and invitees were having lower than average use usage whereas members flew more. Booking type disclosed that about 88% of the customers booked their tickets via agents.
Data mining can be used by many different industries. One of the types of industry is the super market industry. Data mining can help them identify customer buying patterns i.e. to place products in such a way that can lead to an increase in the buying behavior of the customer e.g. Wal-Mart’s case of nappies and beer. The other industry that can use data mining is the automobile industry. Customer preferences can be found and all future automobile can be based on aspects usually preferred by customers (e.g. low CO2 emission cars and increased promotion of hybrid cars to control
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Predictive analytics depend on formulas which make comparisons between the failures and successes of the business in the past thus putting the business in a position to predict its outcomes in future. This data mining process adds value to a business in that it enables it to understand both the motivations and behaviors of the customers making it more effective in its marketing.
This method gets the data that can’t be obtained through reports and queries with a high level of effectiveness. This can also be referred to as the computer assistance in digging for and analyzing data and finally analyzing the contents meaning. These tools predict and analyze the future business trends which allow businesses to apply knowledge based decisions.
The process is similar to the extraction of valuable metal hence the term “mining” (Jackson, 2003). Data mining is the process of analyzing extensive data with the aim of establishing correlation between different variables. Consequently, data warehousing is the process of storing data in relational databases that facilitate such queries and analysis.
Additionally, evolution of tweeter API has enable sharing of material between website and tweeter without credential, but only a bit of interlinking coding. (Seif, Hassan, He, Yulani, Alani & Harith (2012). Consequently, sentimental analysis can be described as a tool for opinion mining.
The paper discusses data mining tool used by Tayko, an international company selling electronic devices and components. As a data analytics, I have designed a model to help the company target their promotional mail out. Tayko Company has a series of names in their mailing list by capturing their logging and their internet enquiries targeting the electronic market.
Air Pollution 7 2.5.2. Water Pollution 8 2.5.3. Land Pollution 9 2.6. Legal Elements 10 3. Conclusion 10 References 12 1. Introduction Arguably, a major part of gold along with other minerals is stated to remain undiscovered in Armenia till date (Safirova, 2010).
Direct marketing studies customers’ characteristics and needs and thus selects certain customers as the target for promotion. Different channels for direct marketing include Direct mail, Telemarketing, Email Marketing, Door-to-Door Leaflet
The federal government, organizations and also the local community must work together to ensure the efficiency in the mining industry gets observed (Hopkins 2001, p. 23).
The hazards that get encountered with by the employees
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