Google And Google : The Era Of 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

Considering this evolution, "in the past, analytics was reserved for back-room deliberations by data geeks generating monthly reports on how things are going. Today, analytics make a difference in how the company does business, day by day, and even minute by minute". (Hackathorn, R., 2013).

The data analytic process is one in which a large amount of information is collected using software specifically geared towards collecting, identifying and storing information for use by the company. The information is gleaned from different forums, with social media being the most rich and useful. The information is then quickly sorted and organized for use by the collecting agency (Turban, Volonino, Wood, & Sipior, 2002, p. 6). The use of data analytics really took flight in 2010 when different companies offered software that enabled a company to implement their own data analytics. This led to better marketing campaigns, improved customer relations and it gave companies using the software a bigger advantage over their competitors (Savitz, 2012).

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

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 Competing on Analytics by Thomas Davenport and Jeanne Harris, the pillars of analytic completion are stated as: “(1) analytics supported a strategic, distinctive capability; (2) the approach to and management of analytics was enterprise-wide; (3) senior management was committed to the use of analytics; and (4) the company made a significant strategic bet on analytics-based competition” (Davenport & Harris, 2007, pp. 511-512) . This section will describe Aramark’s position within these pillars.

For years, web analytics has proven to be a means that revolutionize the way businesses

Stage 4, Analytical Companies – Analytics have been applied at an enterprise-wide level and are being used to drive decision-making, performance, and innovation, but results may not yet have been realized

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.

Amazon has successfully stayed on the leading edge and has remained an analytical competitor for many years. Few ways, one can see the company’s growth is through the limited tests it has performed of new features on Amazon.com. The company rigorously quantifies user reaction before rolling the features out to the market. Amazon also uses extensive analytics to help predict what products will be successful in the future. Through the statistical and quantitative analysis approach, the company recommends products to its customers based on their previous buying experience.

Web analytics is used to analyse the behaviour of visitors of a website (Rouse, Allen & McQuown 2005). Web analytics can tell a business their website’s traffic levels, its referral sources and user behaviour and interactions (Sharma 2015). Data analytics is the process of examining big data to find possible hidden patterns, unknown correlations and other useful information that can be used to make better decisions (Kapdoskar et al. 2015). Data analytics is making businesses smarter and more productive as they can make better predictions by analysing trends in the data (Kapdoskar et al. 2015). The main difference between web and data analytics is that web analytics analyses a website only, whereas data analytics analyses big data.

Web analytics essentially involves data collection and data can be collected in two ways, the traditional method is a web server log file analysis and the second method is page tagging, which uses JavaScript embedded in the web page. The collected data is processed to produce web traffic reports. The companies use different web analytics softwares like Google Analytics, Omniture, Coremetrics etc. to find out information about their visitors, including how they interact with the pages in a site, how long they stay on their site, how many people visited their site, how many of those visitors were unique visitors, how they came to the site and what links they clicked on and when they left the site. Web analytics can give a significant competitive advantage to a company; one of the best examples is ‘Amazon’. Amazon uses analytics at every level and scale. Amazon has it’s own analytics tool called ‘Amazon Web Services’, which collects the data about the customers who visit their site, analyzes the data collected to uncover the buying patterns of different customers