Role Of Data Mining On E Commerce

E-commerce abbreviation stands for Electronic Commerce. In E-commerce we do business online that is on internet. It is part of the IT (information technology) revolution and now days used widely in the world trade and in Indian economy. E-commerce showing tremendous business growth in our country, due to increasing number of internet users in India. In this paper I attempt to highlight the various essential factors required for growth of E-commerce and various challenges E-commerce facing in India.

This section discuss about the common traits or ideas observed in the three research topics. Although, each of the three articles discuss a unique idea, all of them are aimed at utilizing the web data to produce better results. Web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilization of the valuable user generated data from the social media or the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by an individual. All the three articles propose an idea to solution the problem stated, compared their results to the existing models and showed significant improvement.

Here we discuss about the common traits or ideas observed in the three research topics. Although, these three papers discuss about different ideas, they all fall under the web data mining domain. web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilisation of the valuable user generated data from the social media or the the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by the individual.

Today, more than ever before, technology and businesses go hand in hand as the population relies on having access to online shopping and online socializing. For consumers it is efficient and convenient to be able to do their shopping with the click of a button in the comfort of their houses. Therefore, improving e-commerce sales

In order for a business to maintain a competitive edge, they need to be able to understand in real time the needs of their customer base. With the advancement of social media, information that once was a trickle has now become a flood and businesses who want to remain competitive must be able to capitalize on information quickly. By analyzing data, businesses are better able to directly focus their marketing efforts and prices to gain their customers notice and stay ahead of their competitors (Savitz, 2012).

Having data is not valuable but using data is. Analytic insights are changing the way corporates strategize and also redefining customer expectations. Analytics is the new differentiator between success and failure in the cut throat e-commerce and internet services based industry. The huge proportions of data generated from the increasing number of smart phones, the social networks and the ever more penetrating internet are automating customer centric marketing and other services. The idea is to predict what a customer may want to buy even before the customer realizes what they need. The techniques to achieve these results are broadly classified as Predictive Analytics.

Data mining software allows users to analyze large databases to solve business decision problems. Data mining is, in some ways, an extension of statistics, with a few

In this modern society, technology improved tremendously. We can’t imagine our life without technology. It influences our lifestyle in both ways, i.e. this growth impacts both positive and negative ways. In this paper, primarily I like to discuss the importance of data-driven websites, story of the data-driven website Diamonds.com. Additionally, risks connected with these websites such as security, payment, and fulfillment of risks, and benefits of associated with this website such as speed, data storage, customization, etc. Along with, I also explain the development of Diamonds.com, and e-commerce

In a world where computers are becoming as essential to daily life as the cars we drive or the telephones we use to communicate, it is difficult to find a person who doesn’t have some particular use for computers. Computers have become the information stores of the world. If you take a moment to think about all the kinds of information a person can and does hold on their computer it is staggering. I myself have all the passwords to my email and bank accounts, the history of every web page I’ve visited in the last 3 weeks, my credit card numbers, the complete history of all my banking transactions for the last three years stored on my computer. Additionally, think about all the

However, targeted advertising has raised new questions on privacy since it must collect user’s information in order to publish advertisement. When a consumer visits a website, every page they view, the time spent on each page, the new pages they click on and how they interact with the server, allow browsers to collect that data. Analyzing from the technology used in behavioral targeting advertising, web browsing history will be tracked and sent to web server. In order to best select advertisements to display, data mining and machine learning theory will be implemented for analyzing users’ behavior (Korolova 2010).

E-business uses the digital technology to optimize the business activities of organization in order to increase the efficiency and effectiveness of operation and gain competitive advantages. E-business provides the solution that allows the organization to instantly share database, information of products and services, financial figures and data and nearly anything else that the organization may need to operate the business activities effectively and efficiently (Nguyen, 2013). E-commerce which is the abbreviation of electronic commerce is the subset of e-business. It focuses on the online transaction which includes selling of products or service by using computer network, primarily the Internet.

In this case study, we are defining a scenario as a client where Trade Me which is New Zealand’s giant and how online auction & transaction is improvised by using Web Analytics. Clients site usability and experience is enhance by applying the science and Web analytics methodology. It is a science in light of the fact that it utilizes statistics, data mining systems, and a methodological process. Online marketing deals with huge web investigation for the validation and verification purpose that reduces cybercrime, hence Web Analytics Maturity Model makes it more precise, straightforward and accomplished to define variables that can be implemented in online transactions. While we focus on the certifiable state of Trade Me business for the majority of the part, the future will totally regard the benefits of the business investigation & system streamlining that are outside the area of web advancing.

This paper will review about the term "lift" and it uses to data mining and commerce. Supplementary assessment of customer relationship management (CRM) and the advantages of its use in enterprise, and scalability of the product to assemble the requirements of a business. It also compare and contrast the cross-selling and affinity positioning, and real life examples and my personal experiences. Finally, recognizing and examining potential ethical issues concerning cross-selling, and advertising to targeted demographic population.

Data Warehousing and Data Mining has always been associated with manufacturing companies, where sales and profit is the main driving force. Subsequently Higher Education has grown throughout the years; this growth is predominately associated with the increase of online institutions. This growth has resulted in higher education to adapt to a more business like institution (Lazerson, 2000).

Data mining is a relatively new phenomenon, therefore the number of peer-reviewed journal articles, blogs and other online sources on the topic are limited but growing rapidly. One key book, Data Mining and Analysis: Fundamental Concepts and Algorithms by Zaki and Meira Jr., takes an algorithmic approach, as the title suggests. Zaki and Meira Jr. define data mining by stating that “data mining comprises the core algorithms that enable one to gain fundamental insights and knowledge