Web Analytics Essay

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

And yes, this information is valuable. But these analytics tools alone can’t offer the insights that drive successful business decisions. This level of analysis has to come from a certified “analytics ninja,” a person or team of people that can dig through the haystack to find the insights that move the needle. Even if you spend hundreds of thousands of dollars on the best analytics products out there, if you don’t have some certified analytics ninjas on your team, you’re just blindly wasting your cash. Essentially, your Web analytics tool is only as powerful as the person using it.

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.

In spite of very huge data, reports, files, large investments made in web analytics, firms find it difficult to make business decisions. Many business leaders underlined the need to invest in people, but none have spelled it how much could be invested on the tools and people. Kaushik (Blog at kaushik.net) found and developed a rule for investment on tools and analyst to solve the problems in arriving at business decisions to become successful in business. He named it as 10/90 rule for web analytics success.

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.

Business analytics would offer efficiency to the firm whereby it would formulate decisions to help achieve its specified goals. Analytics would help TecWiz to gather data at a faster rate for presentation in a visually appealing way. Therefore, analytics would encourage a

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

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

When choosing a web analytic program or software you most take into consideration a couple of things. For instance, is it understandable, affordable and usable. A web analytic is like getting grades. It is constantly giving you grades and feedback on how you are doing online. Without some certain web analytic program it would be like being lost in the middle of the woods with no compass. Imagine having no idea where society is located, how would you know which way to go. Web analytic is like the compass directing you in which way improvement need to be made. How else would you determine according to Brain Clifton things like “is the visitor experience a good one, encouraging engagement, repeat visits, and sales, or are visitors bouncing off your website after viewing a single page?” (Clifton, 2012). These are all very important things that can help improve your online marketing and the effectiveness of your website. Online business owners if not on board with this should start soon.

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

According to Bryan Eisenberg, a marketing consultant : “Investing in people and the tools that those people need to be successful is key, but it 's the people who can understand that data that really matter” .Web analytics tools spew mammoth data in the form of various reports, data sets, data, charts and overlays. It is the responsibility of an analyst to deduce this data and provide insights to the organization for enhancements. No organization use web analytics every time, but it 's advantageous to be familiar with some of the top preferences and how they fit into the whole web strategy and using multiple tools only gives you further levels of insight into your customers and your success rate, which is not easy. If you do not have adequate web analysts or qualified brains for this job, no tool, how expensive that might be, can improve your online business. We see that many huge enterprises invest millions of dollars in to buy expensive tools; these expensive tools cannot explain what to do with this huge data.

Part 2. How Business Analytics can be used to gain advantage in a competitive marketplace