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Project report on web analytics
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Web analytics is the process of analyzing the behavior of visitors to a website. The use of Web analytics is said to enable a business to attract more visitors, retain or attract new customers for goods or services, or to increase the dollar volume each customer spends. By monitoring a Web analytics dashboard, businesses will be able to keep track of the traffic on their websites and tweak them whenever need arises.
There are two categories of Web analytics, On-site and Off-site web analytics. Off-site web analytics is used for web measurement and analysis regardless of who owns the website, on the contrary, On-site web analytics is used to for analysis of one’s own website performance. The two main methods of collecting data using on-site
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According to Kaushik, A. (2010), Web Analytics helps businesses answers questions like what, why, how much, what are the competitive intelligence data. We would be able to figure out what types of visitors, visits, Time on site, Page Views, Bounce Rate, Sources et al. Web Analytics would help us determine how much the website has caused an increase in revenue, cost reduction and customer satisfaction. Web Analytics helps us with experimentation and testing. Overall, Web Analytics helps businesses perform against competition and identify new opportunities.
In computing, a cache is a component that stores data so future requests for that data can be served faster; the data stored in a cache might be the results of an earlier computation, or the duplicates of data stored elsewhere. A cache hit occurs when the requested data can be found in a cache, while a cache miss occurs when it cannot. Cache hits are served by reading data from the cache, which is faster than recomputing a result or reading from a slower data store; thus, the more requests can be served from the cache, the faster the system performs. Cached pages can account for up to one-third of all page views. Not counting cached pages seriously skews many site
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
One such tracking metric that can be used for determining if the marketing is effective would be knowing your user segments. When you know whom you are selling to then you can gear the advertisement or social post towards that person. Otherwise it becomes a shot in the dark. With this metric you can keep track of who buys what. This enables Pier One to focus on selling their products to those particular people. (Alhlou, 2013)This would be considered more of a conclusive tracking metric because it gives you a larger overview of things happening within ecommerce. Another tracking metric that could be used and is considered an intermediate tracking metric would be, Google analytics or another form of analytics. This metric allows for overview of who, what, where, when, why, and how for most of your questions. If you’re wondering why someone bought a lamp on Sunday at 5:00 P.M. this metric will give you results as to why and who else might have a desire to do the same. So why is analytics important to use? Because they, “ measure and track your results across time, help you to understand your visitors, leads, prospect, helps you to understand, track and improve the mechanisms used to convert your first visitor into a valuable customers”. (D 'Urbano,
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...
DNS is used to provide a mapping between the websites name and their respective IP addresses. DNS caching is a mechanism to cache this Website name–IP address mapping on the DNS server for some amount of time. When number of users in the office or universities access same websites again and again then DNS caching is used to improve the performance of the system as DNS server doesn’t need to do all hierarchical searching using root name servers and TLD name servers for each and every user request. Network will be too overloaded if we don’t use DNS caching as DNS server needs to do number of DNS queries in order to find one IP address. DNS caching stores the IP addresses of frequently used websites in the organization.
Data can give you quite a bit of information about your customers. By examining it, you will be able to begin to see patterns and learn the habits of your customers. This could mean that you are able to provide the correct number of products at the perfect time instead of having a shortfall or being left with additional stock long after interest has fallen in the product.
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.
Google analytics can be applied in big as well as small businesses to support decision-making processes. In sense, each kind of business has its own
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...
All companies obtain information on their customers or on their product. All these information may help a business to develop new strategies. They can also forge ahead by treating these big data. All companies have in their possession those information, so use it can be very useful. A company can identify for example their weaknesses and can improve their strategy to become the best on the market. It will help to create more opportunities for the company and maybe create a real competitive advantage.
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.
Customer Relationship Management (CRM) is another field where A.I. is used. There is no doubt that the internet has changed the way that businesses and corporations interact with their customers, and A.I. helps by offering a myriad of data about the customersuch as their demographics and purchasing history. A.I. offers analytics in real-time, greatly benefitting the company as it works to improve its marketing and ultimately its profits.
This helps the website to run on different platforms and be accessible. They use the web services to enable themselves to share data or use data from other websites like integrating Google Maps in its pages(API’s), also they can use web feeds to share data and receive content updates from users favorite websites, like RSS.... ... middle of paper ... ... RIAs make use of Ajax to create robust user interfaces within the browser to do everything that you can do with a desktop application.
THURAISINGHAM, BHAVANI. (2003). Web Data Mining and Applications in Business Inteligence and Counter-Terrorism.Taylor & Francis.http://www.myilibrary.com?id=6372.
Cookies are used to gather statistics on how customers use the site. For example, to:
For example, a restaurant chain could mine customer purchase data to determine when customers visit and what they typically order. This information could be used to increase traffic by having daily specials.