MASTER OF COMPUTER and INFORMATION SCIENCES
SERVICE RELATIONSHIP MANAGEMENT
ASSIGNMENT ONE
Semester 1, 2015
Implementation of Web Analytics Maturity model on Trademe.com
Aim: Case study on trademe.co.nz using web analytics maturity model which overcome the pros & cons of the online customer service system.
Abstract: In this case study, we are defining a scenario as a client where Trade Me which is New Zealand’s giant and how online auction & transaction is improvised by using Web Analytics. Clients site usability and experience is enhance by applying the science and Web analytics methodology. It is a science in light of the fact that it utilizes statistics, data mining systems, and a methodological process. Online marketing deals with huge web investigation for the validation and verification purpose that reduces cybercrime, hence Web Analytics Maturity Model makes it more precise, straightforward and accomplished to define variables that can be implemented in online transactions. While we focus on the certifiable state of Trade Me business for the majority of the part, the future will totally regard the benefits of the business investigation & system streamlining that are outside the area of web advancing.
Introduction: According to Stephen Hamel(Hamel, 2009), web analytics is defined as “The extensive utilization of quantitative & subjective information (Principally, however not restricted to online information), measurable investigation,
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.
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.
In this modern society, technology improved tremendously. We can’t imagine our life without technology. It influences our lifestyle in both ways, i.e. this growth impacts both positive and negative ways. In this paper, primarily I like to discuss the importance of data-driven websites, story of the data-driven website Diamonds.com. Additionally, risks connected with these websites such as security, payment, and fulfillment of risks, and benefits of associated with this website such as speed, data storage, customization, etc. Along with, I also explain the development of Diamonds.com, and e-commerce
5. Kaushik, A. (2010). Web analytics 2.0: The art of online accountability & science of customer centricity. Indianapolis, IN: Wiley.
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.
The sections below go into greater detail about how organizations can use analytics as a competitive weapon to introduce new goods and services and support existing ones.
Research was conducted by collecting data on twenty various Web sites. Data was collected using an objective analysis form, which surveys every aspect of each Web site. Several features were determined to be helpful to customers. Some of these features attract customers and help them purchase products directly from the site.
Web Analytics is a relatively new phenomenon in the business world, and while it is not a mandatory requirement for organizations to compete in today’s marketplace it is becoming increasingly important as organizations strive to optimize their web presence. So what is web analytics and how can it help companies achieve a better web presence? Web Analytics is defined by the Web Analytics Association as, “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.” (ClarkU, p. 1) To simplify this definition we can say that web analytics is the process of determining how your website most effectively turns site visitors into customers.
What can we do with all this data collected? Where do we go from here? What lessons can we learn from these trends? “Most Web analytics tools in the market, even today, simply spew data.
Web Analytics is a revolutionary way to support decisions in Web business using tools to collect and analyze data. The expression “ Collect and analyze data” it self is imprecise for a strong definition of Web Analytics, because of its paradoxically interpretation. According to Avinash Kaushik (Sybex, 2007) Web analyzes based only on data can’t motivate complete decisions, and even when there is lots of dates it necessary the small number of insights from the infinitesimally quantity of data. Therefore, I think that the best definition of Web Analytics is presented by Avinash Kaushik on his book Web Analytics 2.0 book, the art of online accountability & Science of customer centricity. For Avinash Kaushik Web Analytics is the web site and the competition around it qualitative and quantitative data analysis, in order to create
In today’s world, for almost every business, it is essential to have a website which serves as an information gateway for customers to gain insights into the business. In return, a website is also a tool through which business analysts can understand more about the behavior of customers. This would mean that tracking and analyzing website data is crucial to making sound business decisions, hence the growing favor for Web Analytics.
Web analytics is the technology and method for the collection, measurement, analysis and reporting of websites and web applications usage data (Web Analytics Association, 2008). Through web analytics, one can answer all the questions about who, where and how the visitors are using the website. Web analytics measures activity and behavior on a website. Thus, helps website owners to take a decision on redesigning the website, or what changes needed to the website for business and popularity trends that will be useful for market research in future efforts.
From the academic perspective, web analysis can be identified as a process of analyzing and measuring visitors’ behaviors based on the data from a website. Specifically, analysts would dig into the data and try to find out the meaning hidden behind those mathematical numbers and statistic and figure out the reason of every click that every visitor makes. Then analysts could come up with solutions to help companies improve web performance in order to attract more visitors and increase the dollar value that visitors spend on the site. In other words, web analysis can be also seen as an integration of diverse analysis activities with using different technics and tools from collecting data to transferring those data to visual outcomes and insights to do accurate business prediction and forecasting. In a word, web analysis could help business to figure out people’s real-time reaction to the message and information that business is trying to deliver on the web pages, and get a deep understanding about customers’ responses to recent marketing campaigns and activities on the web.
E-Commerce describes any business to consumer transactions that take place partly or solely online and is not limited to the purchase of physical products from a website – although that does make up a key component of most e-commerce businesses. Some services or products are sold purely online while other companies may have physical stores or headquarters in addition to their online presence.