Essay On Web Analytics

Taking careers such as web design and analytics, there are numerous studies that have been conducted about how fortune 500 companies invest in web analytics (Chaffey, D., & Patron, M. (2012)). Despite these skyrocketed investments on web analytics, they still find it difficult to make meaningful

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.

To ensure that your money isn’t wasted, you need to spend even more. The way to spend it is by following Avinash Kaushik’s “10/90” rule. This directive suggests that for every $10 you spend on your analytics tool and implementation, you should spend $90 on intelligent digital analysts who can convert your data into actionable insights. Companies are eager to collect data, but that data is worthless until someone translates it into insights that drive business results (Gibson A., 2013).

Organizations have incredible interests in "Web Analytics", yet regardless they can't make suitable business arrangements. The fundamental target of this standard is to execute web investigation instruments to most astounding worth. In the present procedure numerous huge undertaking organizations spend more than a large portion of a-million dollars a year on costly Web Analytics arrangements as opposed to spending even 50% of that cash on qualified web examiners. Because you are huge and have entry to colossal assets, does not imply that you should go for costly arrangements when there are scarcely any qualified heads to handle web examination in the association. Keeping in mind the end goal to separate themselves from free web investigation

Web analytics refers to the study of user data collected on websites. Online commerce has been the main application area that has driven the development of web analytics in recent years. Nonetheless, the goal of web analytics is to capture and analyze data on the use made of

In the world of technology that we live in today has forced companies in almost every industry to use whatever tools that are available to help them be competitive in their business industry. There are a few ways to do this, one of those ways is the use of Web analytics, which is the collection of raw data from users browsing habits and then taking the raw data and assemble the data into clear comprehensive results. This type of analysis is very useful for companies, as it helps them learn what users are doing and their habits and the best way to target these users.

This rule means that there should be an investment of $90 on human intelligent resources for every $10 spent on the tools. Because tools do not perform much as human beings do. It is people, not tools interpret and act upon the data and the tools only

Website are a work in progress and we use analytics data as a tool to constantly help improve the content and calls to action.

Many studies show that while many of the Fortune 500 web-based companies had invested heavily, they had a hard time making reasonable business decisions. Many people argue or rather complain that these businesses had gigabytes as well as terabytes of data of Powerpoint and Excel files. Nevertheless, no meaningful implementable actions were taken. A 10/90 Rule is a rule that is applied to fix this kind of problem. The goal of this rule at this time is to achieve the highest value in executing web analytics in this situation. In this case, the cost of professional vendor services, as well as analytics tool, would account for $10. On the other hand, the need investment in the area of analysts and intellectual resources would account to $90. The main aim here is to achieve grand success for their people.

5. Kaushik, A. (2010). Web analytics 2.0: The art of online accountability & science of customer centricity. Indianapolis, IN: Wiley.

The 10/90 rule was developed by the Kaushik to help address the problem of having too much data and not enough insights. The 10/90 rule states that for every 10 dollars a company invests in analytics tools, they should invest another 90 dollars on people to analyze the data. His message is clear- information and insights are the end goal for creating value and a company can only get there by spending its resources on people more than machines. Companies need the insights and information and currently the machines cannot think like people when analyzing data. Kaushik states that his claim is based on 4 basic principles. (Kaushik 2010).

There are over 1 billion active websites today and its growth is exponential. Not all of them are optimized and effectively used by the users. Every owner of the website should continuously assess and improve the effectiveness of their website, if they want to address the above question. How they can do that? That is where Web Analytics comes into picture. The process of tracking, collecting, measuring, reporting and analyzing the data collected from the web for understanding and optimizing the web usage is known as Web Analytics. We can track every click of every person on the website. It provides information about number of visitors to a website and number of page views. In other words, Web Analytics is tracking the visitor behavior of

If you were to simply google the term “web analytics” and search for a definition, the ge-neric answer you would find is something along the lines of: the measurement, collection, and analysis of web data to study the impact of a website on its users. You might even find a more specific definition listing the types of metrics commonly measured such as how many people visited a certain site, how many of these people were unique visitors, and even how they got to this site. This view of the term “web analytics” is one that is all too prevalent but is outdated and incomplete. These definitions all focus on the “what” dimension of web analytics, the quantitative metrics and statistics acquired from collecting and analyzing clickstream data. When all you focus on in web analytics is the “what,” you find yourself with an abundance of data, but an extremely minimal amount of useful, actionable insight. And it is this insight, this unique perspective that web analytics has the ability to offer, that makes this tool such an exciting and innovative one. So, if web analytics is not so much about the “what,” what is it about? The answer, of course, is the “why.” It is infinitely more useful to know why people do the things they do on your site, as opposed to just knowing that they did. In addition to the “why,” it is also helpful to know answers to the questions “how much” and “what else.” So now, instead of just analyzing the clickstream to determine the

Web analytics is the practice of measuring, collecting, analyzing and reporting on Internet data for the purposes of understanding how a web site is used by its audience and how to optimize its usage. Web analytics helps a business owner break down the measure of information that originates from the web and aides in extraction of information in a simplified manner. In addition, Web analytics helps the organization in externalizing and standardizing information including variables that can be compared with each other.

To overcome all these shortcomings, Avinash Kaushik, who is a specialist in the field of web analytics introduced 10/90 rule in his blog Occam’s razor which was published in 2006. This rule explains that for every $100 investment you make on your business, $10 should be invested in selecting an advanced web analytics tool and $90 should be invested in choosing highly skilled analytic professionals, who can configure and implement the advanced web analytic tools