A major advantage of primary data collection is that Multiple Choice I.pdf

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A major advantage of primary data collection is that Multiple Choice It can be easily accessed through syndicated databases. It is less expensive to collect than secondary data. it is general enough to meet many different researchers' needs. it offers behavioral insights generally not available from secondary research. it takes less time to collect than secondary data. What is neuromarketing? Multiple Choice the use of in-depth intervlews regarding potential product ideas that are used to map detalled networks of information storage in the brain the analysis of consumer comments on social media in order to understand consumers' thoughts and opinions the use of psychoiogical principles to design matketing research studies the use of neural networks to perform data mining and develop marketing insights the study of consumers' brain patterns to determine their responses to markeling communications. products, or services.

Education

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A data mining presentation is a structured discourse aimed at elucidating the concepts, methodologies, and outcomes of data mining endeavors. Typically delivered in a formal or professional setting, such as academic conferences, corporate boardrooms, or industry seminars, a data mining presentation encompasses various aspects. These may include an introduction to data mining, its importance, and applications across diverse domains like business intelligence, healthcare, finance, and more. The presentation often delves into the fundamental techniques employed in data mining, such as classification, clustering, association rule mining, and anomaly detection. It may also highlight the tools and technologies utilized, ranging from traditional statistical methods to advanced machine learning algorithms and artificial intelligence frameworks.

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ONLINE POLICIES TO ENSURE CUSTOMER PRIVACY IN ONLINE BANKING Introduction With evolution in Information technology, many industries have extended their operations by going on internet. Information management primary focus was on technology initially, but later companies realized that information will be valuable to organization only if certain policies and procedures are implemented to control, govern and monitor the analysis, use, access, protection and retention of that information. Banking industry has undergone structural and performance changes over time and online banking transformation is the latest among all transitions, there are not many innovations that has transitioned the business of banking as soon as the online banking revolution. This transition enabled banking industries to offer its services to their consumers anytime and anywhere. Online banking was first implemented in US called Security First Network Bank since then this development had wide spread across all countries. Services offered by online banking has been categorized into three levels, the first one is considered as basic i.e., bank’s websites which is used to share information regarding the different services and products offered to the new and existing customers by the bank and also for answering basic queries of the customers, the second level is called transactional websites which allows its customers to provide their information or submit applications for services offered, view their account balances, access any other available services but this level doesn’t allow any fund-based transactions, and the third level is considered as fully transactional where customers can perform fun-based transaction and pay any other bulls or make any purchases. Online banking also came with many potential risks which increased the necessity to enhance the mechanism of risk prevention, to escalate the formation of standards and laws relating to e-commerce, and to strengthen the information development. The research will be primary focused on the following question: Why is it so important for banking industry to consider the factors of privacy in policy-making? Background Ensuring privacy is very vital objective in every organization as it relates to the trust of its customers. Though online banking has made all the operations user friendly it also created many challenges in terms of privacy of personnel and financial security. Cyber-thieves took the advantage of this evolution by pretending and accessing the online account illegally to rob money and this also led to the exposure of personal and private information to the hackers. Governance of information has emerged into banking industry to overcome such threats and control the movement and creation of information. The main objective of information governance and policy inventions in banking domain is to avoid the unauthorized access to the data, to shield the frequent use of database and network that add value to or ...

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Social networking sites are a significant source of information to know the behavior of users and to know what is occupying society of all ages and accordingly helpful information can be provided to specialists and decision-makers. According to official sources, 98.43% of Saudi youth use social networking sites. The study and analysis of social media data are done to provide the necessary information to increase investment opportunities within the Kingdom of Saudi Arabia, by studying and analyzing what people occupy on the communication sites through their tweets about the labor market and investment. Given the huge volume of data and also its randomness, a survey of the data will be done and collected from through keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study analysis and conclusion will be based on data-mining and its techniques of analysis and deduction .

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Running Head: CONSUMER BEHAVIOR ANALYSIS CONSUMER BEHAVIOR ANALYSIS 10 CONSUMER BEHAVIOR ANALYSIS Student’s Name: HEJIE ZHENG Course: CIS4321 Date:04/20/19 Contents PROPOSAL 2 CONSUMER BEHAVIOUR ANALYSIS 2 SIGNIFICANCE OF ANALYSING CONSUMER BEHAVIOURS. 3 CONSUMER BEHAVIOUR DATA SET 3 IMPLEMENTATION OF CUSTOMER BEHAVIOUR DATA SET 5 CUSTOMER BEHAVIOR DATA MINING TECHNIQUES 7 Association Mining 7 Transaction study unit 7 CONCLUSION 7 REFERENCES 8 PROPOSAL The modern consumer behavior perspective is just the same as the traditional consumer behavior perspective.CONSUMER BEHAVIOUR ANALYSIS Our project is consumer behavior analysis. Research has been conducted and presented on the behavior of consumers and how the data obtained is important in solving real-world problems. In analyzing consumer behavior in this paper, we will embrace data mining techniques. Each data mining technique has its pros and cons. For this reason, we will choose the best technique to mine our database. The main objective is identifying psychological conditions that affect customer’s behavior at the time of purchase and the key data mining tool that is convenient for each method of purchase. Furthermore, there is an association rule that is employed in customer mining from the sales data in the retail industry. SIGNIFICANCE OF ANALYSING CONSUMER BEHAVIOURS. Analyzing consumer behavior is important as the data obtained is converted to a format that is statistical and a technical technique is used to analyses the data (Stoll, 2018). Business enterprises also use the knowledge of consumer behavior in the following ways: I. Determining the psychology of consumers in terms of their feeling, reasoning, and thinking and how best they can choose between the alternatives. II. Businesses also determine how the business environment affects consumers’ mindset. III. Businesses can determine the behavior of customers at the time of purchasing their goods and services. IV. Companies also find out how customer motivation affects customers' choice of goods of utmost importance. V. Finally, Business finds ways of improving their marketing strategies based on the available data that they will gather.CONSUMER BEHAVIOUR DATA SET The modern consumer behavior perspective is just the same as the traditional consumer behavior perspective. The patterns used by consumers in the day to day lives are also applicable in the online context. Koufaris (2002) in his article argues that online consumer behaviors are similar to traditional behaviors. However, online consumers have additional advantages as besides being customers, they easily access the information about the goods and services they want. The contents of our datasets pertaining the consumer behaviors can be found in Montgomery, Li, Srinivasan, and Liechty (2004.) In the present world, a normal consumer is regarded as a constant generator whom his or her data is treated in diverse contexts as unstructured, contemporary ...

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In this paper we have focused a variety of techniques, approaches and different areas of the research which are helpful and marked as the important field of data mining Technologies. As we are aware that many MNC’s and large organizations are operated in different places of the different countries. Each place of operation may generate large volumes of data. Corporate decision makers require access from all such sources and take strategic decisions .The data warehouse is used in the significant business value by improving the effectiveness of managerial decision-making. In an uncertain and highly competitive business environment, the value of strategic information systems such as these are easily recognized however in today’s business environment, efficiency or speed is not the only key for competitiveness. This type of huge amount of data’s are available in the form of tera- to peta-bytes which has drastically changed in the areas of science and engineering. To analyze, manage and make a decision of such type of huge amount of data we need techniques called the data mining which will transforming in many fields. This paper imparts more number of applications of the data mining and also o focuses scope of the data mining which will helpful in the further research.

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Web is a rich domain of data and knowledge, which is spread over the world in unstructured manner. The number of users is continuously access the information over the internet. Web mining is an application of data mining where web related data is extracted and manipulated for extracting knowledge. The data mining is used in the domain of web information mining is refers as web mining, that is further divided into three major domains web uses mining, web content mining and web structure mining. The proposed work is intended to work with web uses mining. The concept of web mining is to improve the user feedbacks and user navigation pattern discovery for a CRM system. Finally a new algorithm HMM is used for finding the pattern in data, which method promises to provide much accurate recommendation.

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