Web Analytics can broadly be classified as the process of tracking, measuring, collecting, analyzing and reporting the internet data of website visitors’ activity for the purpose of understanding and optimizing web usage and how websites are used by its users. Web Analytics is not only used for analyzing the data usage on websites but are also widely used to monitor website traffic, to optimize an organization e-commerce initiatives, Digital Marketing, Advertising (through web campaigns), Customer Surveys, Referral programs, Click streams, etc. Consumer preferences or behavior are well explored by marketers who understand these dynamics by identifying areas where consumer is more likely to click often when they are online. The technologies …show more content…
The data generated by search engine bots (or non-human activity) can at times account for 60% of the hits in your log files. So if it is not excluded the resulting reports built on server logs can be set off by that much margin. Though Search Robots hits can be filtered, it is not easy to keep pace with the new emerging robots as they tend to adapt and get intelligent with time. One of the many better ways to solve this problem is to limit or exclude access by placing robots.txt files on their servers which can outline on how their respective sites needs be …show more content…
In simple terminology, Web server log files are the server data on what actually happened, while JavaScript tags are the user related data on what the user did while they are on the website. JavaScript uses tracking pixels and cookies. The limitation for implementing Web Analytics ecosystem in the Organizations can be quite murky as the visitor interaction and their preferences change quickly overtime. Moreover, Web data provides little information about the user than their clicking patterns. An example would be- why a particular visitor of a website did not end up becoming its customer. Web Administrators must use Web Analytics to monitor and determine what pages are not working well or rather understand which pages or areas within the site do not attract traffic. They can alternately tweak and modify the site to create good user experience. Regularly monitoring customers’ traffic would enable organizations understand their customers better and enhances their overall performance. Therefore there is the need to design their websites
Avinash Kaushik in his blog proposed the 10/90 rule. [1] According to him, many large companies that have invested in web analytics tools still struggle to make any meaningful business decisions. Apparently, there is a no dearth of data that is collected via these web analytics tools for these companies. However, the caveat here is that there is no real useful information that is being analyzed from these data. In other words, there are not sufficient people with expertise in these areas working on these web analytics tools for these companies to make any meaningful suggestions from the data for the companies to implement and in return increase their profits or whatever they are trying to achieve/gain. The 10/90 rule suggests that for every $10 invested on web analytics tools, $90 should be invested on web analysts by the company to be able to expect positive results on their investment on web analytics tools. Primarily, the data collected from such web analytics tools is useless unless an expert is analyzing that data. It is the web analyst that is critical for the success from the ...
The Human and Ethical Aspects of Big Data, quickly outlines an array of ethical problems that big data has had and will continue to develop in the upcoming years in our society. The author begins by giving an example of the earliest use of big data, the census. Census data can provide a plethora of benefits to society, representation in government, civil planning, such as road and water treatment, as these take years to construct and having the population and these necessities, Time align is crucial. As the author, uses the example of the internment of Japanese-Americans in 1943. Here is big-data supposed to help the citizens of the Unites States, the big data that is supposed to be private. Now in 1943, big data being used to discriminate
Marketing Analytics is another concept that is very essential for your business or company. It comprises of all the technologies and process that would allow you to evaluate the performance of your marketing campaigns and initiatives.
The most lucrative business on the Internet is marketing. Companies have come up with ingenious ways to generate revenue with very targeted advertising. Each company has their unique method to identify their consumers, some more complicated than others. For example, on a website geared to new mothers the advertisements would reflect that by advertising for baby diapers or formula. This type of targeted advertising is understood and acceptable. The consumer benefits by having advertisements in their interests and the vendor has a higher likelihood of making a sale. The Internet has introduced novel ways to track consumer habits and interests thereby creating smarter advertising. Microsoft employs their browser Internet Explorer using “cookies” to track user habits. Cookies are pieces of text stored by a user’s web browser, they are sent back and forth every time a user accesses a web page. These can be tracked to follow web surfers’ actions. Cookies are used to store...
If the organization is unable to spend huge amounts on this web analytics tools and the corresponding resources it is better to spend some money on the
Now days, companies are searching for new ways of gathering data so that they can get useful data in order to make well informed decisions regarding the market they are operating in. Google analytics is considered one of the best tools offers extensive amount of data to business owners for free. However, the success of business is highly depended on how well they can arrange data and customize their collected data corresponded to their business priorities. Google analytics provides beneficial information for companies regardless of their extent of operation.
There is a debate between the benefits and potential informational privacy issues in web-data mining. There are large amount of valuable data on the web, and those data can be retrieved easily by using search engine. When web-data mining techniques are applied on these data, we can get a large number of benefits. Web-data mining techniques are appealing to business companies for several reasons [1]. For example, if a company wants to expand its bu...
Google is a multi-billionaire company that was founded by Larry Paige and Sergey Brinn in September 1998. Google housed more than 40,000 employees and it is now still increasing. In 2014, the company has 53,600 employees. There are several products created by Google, some of the well-known are Google Search, Google Scholar and Google App.
2009 was a negative period for the United States economy. A big recession hit the country, and the founders of Google were trying to make a plan in order to make to limit the damage caused by an economic decline. Brin and Page the two creators of the giant Google were shocked form the situation that was occurring. Their company was feeling the effect of the economic downturn. Google’s stock price dropped 51 percent. The two entrepreneurs were trying to figure out a way to keep the company from drowning. Google main problem was how to maintain the culture that made the company successful in the previous two years. Some consequences that the company had to face was eliminating products that
THURAISINGHAM, BHAVANI. (2003). Web Data Mining and Applications in Business Inteligence and Counter-Terrorism.Taylor & Francis.http://www.myilibrary.com?id=6372.
Companies have transformed technology from a supporting tool into a strategic weapon.”(Davenport, 2006) In business research, technology has become an essential means that many organizations use in their daily operations. According to the article, Analytics is a major technological tool used. It is described as “the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions."(Davenport, 2006) Data is compiled to enhance business practices. When samples are taken, they are used to examine research and understand how to solve problems or why situations are as they are. Furthermore, in this article, Thomas Davenport discusses analytics from a business standpoint. He refers to organizations that have been successful in their usage of data and statistical analysis. In addition, he also discusses how data and statistics can be vital in the efforts to improve the operations of businesses.
Analytics means using data and performing statistical analysis on it, applying quantitative and predictive models, in order to arrive at a certain decision. Analytics can be the first step in a process or can rather be an intermediate step as well. Analysis can be done using different set of tools that are available in the market or it can done manually using different concept and formulas. Business intelligence firms like Cognos, SAS and BusinessObjects have developed different tools that are readily available in market that assist in analysis and decision making. Analytics is used in order to find solutions to the problems and the solutions provided enables us to be successful and in the business world allow us to compete with our contenders.
The technology was innovated, upgraded and extended. (Mapreduce, Google work queue, Google files systems, Ad Words (an auction-based advertising program that enables advertisers to deliver relevant ads targeted to search results or web content.), CPC, Google map, Google images, Google Apps, Google desktop search, Froogle, Google talk, Gmail, Google check out, Google video etc.), Google Audio Ads (an automated online media platform that schedules and places advertising into radio programs). Google Print Ads (a web-based marketplace for placing ads in print media), Google Video Ads (user-initiated click-to-play video ads that run on sites that are part of the Google Network).
Cookies are used to gather statistics on how customers use the site. For example, to: