Impact Of Using Data Analysis For Online Businesses

The analysis of big data is the process of organizing, collection, analyze and examining the large volume of data to find patterns, market trends and useful information. This analysis helps organizations to better understanding about the information within data, and helps analyst to make better

In todays scenario, online Shopping play a great importance in the modern business environment. Online shopping has opened the door of opportunity and advantage to the firms. Rowley Jennifer, (1998) examined that internet is becoming a hotbed of advertising, shopping and commercial activity. Hsieh et al., (2013) stated that internet is influencing

Despite the potential challenges, it is still believed that big data is the new way of the world, and that businesses should aim to overcome these challenges. The first typical challenge small businesses will face is finding “talented people who know big data and analytics” (Taylor, 2012, para. 6). Unfortunately, since small business owners tend to not be familiar with big data, then they will be challenged to know how to use it. Big businesses have the money, reputation, and influence to hire people who are very knowledgeable with big data. Also, if the storeowner is technologically challenged, it’ll be even harder for him/her to know how big data can help him or even what big data is in order to go out and look for someone to help his/her store with big data. Even if the storeowner is comfortable with technology and is familiar with big data, the storeowner could be averse to change, and that would be another reason why using big data would be a challenge for this category. The storeowner who is used to doing things a certain way will not be eager to start using big data to improve his business. S/he will probably think that if the business is doing well, then they don’t need to change. This will prevent them from increasing profits and will stagnant them from keeping with current times and current technology. For

Big data and its definition has changed over the years. In a 2011 research project by MGI and Mckinsey’s Business’ defined big data as

The idea behind this study is of great significance because e-commerce (online shopping) has grown tremendously since the turn of the century. It has shaped the way people do shopping for the most part.

Technology is developing so rapidly that it has started to affect different aspects of the society especially business. Online business was invented in 20th century in the UK and has quickly spread all over the world. With an increasing popularity of the online shopping, more and more retailers start to sell online, which makes the marketplace become more competitive. In order to be successful, it is important for the retailers to understand the most important factors that satisfy the customers when they purchase online. Once the level of the e-satisfaction increases, the purchase intention will increase and online retailers can gain more profit. Among all the factors that will potentially affect online satisfaction, the aim of this essay

The era that we live in, in the year 2015 is considered the “big data” era. Industries all over the world are analyzing data and determining marketing and business processes to attract consumers. Data analysis which started off on a much smaller scale today can be used in much broader aspects from coupons you receive in your email, to advertisements you see when you use applications on your smart phone data also can be used to determine the frequent of a customer to a particular store or website. These are both processes of data analytics being used and conveyed in a way to attract customers or satisfy consumer needs. Data analysis focuses on finding the specific data to answer your question, understanding the processes underlying the data, discovering the important patterns in the data, and then communicating your results to gain optimal results. Data is not a new concept in any form, the technology of today’s world makes obtaining and analyzing data easier. The recent decades have seen a fundamental change in the model of data analysis. IMB Tech Trends Report (2011) identified business analytics as one of the four major technology trends in the 2010s. According to Chen (2012) Business intelligence began its practice in business and IT communities just a few decades ago in the 1990s. In the 2000s business analytics was introduced to represent the key analytical components in business intelligence. The business intelligence and data analytics previously adopted in an

Big Data refers to the large amounts of data that businesses deal with on a day-to-day basis. Big Data can be defined in many ways, but this is one of the most general definitions. One of the primary uses businesses have for Big Data is to provide assistance for decision making. In order for Big Data to be effective, organizations must utilize the data to their advantage. The quality of information is what matters, not the quantity. Organizations may have virtually unlimited amounts of data to work with, but they must locate the helpful portions of data in order for it to be effective and serve its purpose. In addition, some data may not be helpful at the present moment in time, but will be needed for analysis in the future (“What Is Big Data?”,

Online or web-based shopping has seen tremendous growth during the past decade which has transformed it into a rising territory of business administration and information technology. Shopping online has become the new TREND and it is here to stay

Firstly it repersents the volume attribute lot of data sizes which are explained numerically. For example, users of YouTube uplosds new vedios every minute of a day in 48 hours. Second is taht the velocity is other attribute of big data. When data is sensetive for time the velocity attribute exists. Further data can be structured or unstructured then it brings the 3rd attribute named as velocity. Moreover, validity is another factor for big data. Data can be logical is defination of validity. Further more, is veracity which means conformity of facts and accuracy. Lastly, visibility is also a big data charactrstic. When data is seprate from other resources it can be seen.

Big data is a popular term used to describe the improvement and availability of data in both structured and unstructured formats. Structure data is located in a fixed field within a record or file and it is present in the relational data bases and spreadsheets whereas an unstructured data file includes text and multimedia contents. The primary objective of this big data concept is to describe the extreme volume of data sets i.e. both structured and unstructured. It is further defined with three “V” dimensions namely Volume, Velocity and Variety, and two more “V” also added Value and Veracity. Volume refers to the amount of data, Velocity depends upon the speed of the data processing, Variety is described with the types of the

Recently, machine generated data is more in volume than the traditional data both in Total Volume and Unit Volume. The traditional analytics deals with small data set (kilobytes, megabytes or gigabytes). Big data primarily describes really large data sets (terabytes to exabytes) partly because of its complexity from

Consumers have now more alternatives and a greater selection of products and information. They benefit from higher price transparency which is two edged for the companies. However, there are new limitations of electronic shopping for consumers compared to the bricks and mortal retailing. The shopping experience, habits and the way to evaluate the choice of product is different. On the internet one is not able to use all five senses like touching, smelling, tasting, seeing and hearing. There is less personal attention for the buyer and one can not buy with cash money. The fact that consumers are able to search for more information on the products and prices has also the disadvantage that the information is very broad and often not practical. People get “lost in hyperspace” (Van Baal, 2006). Another critical for breakthrough of online retailing is privacy and security concerns.

It is the year of two thousand and fifteen—the 45th years after Internet was first invented. Internet is developing in an incredibly speed, so does the online business. People can accomplish more without stepping out of their houses. Imagine what if we are carrying bulk of cash to pay our tuition instead of paying online. Since Internet greatly facilitates the process of paying and choosing, online shopping has become the couple top shopping preferences. Some people love online shopping because online shopping is easier, cheaper, both money and time saving. Meanwhile, some people don’t like online shopping because they think online shopping is unsafe, not reliable, and bad for economy and retails are irreplaceable. This paper will focus on the advantages and also the disadvantages of online shopping.

So in this paper, we will discuss online retail and e-commerce as a whole. We will look at it’s history and current impact. Then we will make some