The official DAA definition of Web Analytics is the measurement and collection of Internet data for the purposes of understanding and optimizing web usage by analyzing and reporting of web data. DAA stands for Digital Analytics Association, an organization that defines industry standards for the web analytics field. Web analytics is often confused with website statistics, but there is quite a difference. The goal of website statistics is to inform simple facts like number of visitors last month, etc. Web analytics offers much more metrics. Its goal is to help you improve your website and online marketing. Of course there is an overlap between the two, but to use an analogy: If website statistics are the speedometer of your car, web analytics is the whole dashboard. Most web analytics processes consist of four stages or steps: • Collection of data: Gathering the basic, elementary data is this stage’s objective. • Processing of data into information: Taking the data and conforming it into information is this stage’s objective. • Developing KPI: This stage focuses on using the ratios obtained in the previous stage and infusing them with business strategies, referred to as Key Performance Indicators (KPI). • Formulating online strategy: This stage focuses on the online goals, objective, and standards for the organization or business. These are usually done for making money, saving money, or increasing market share. Off-site web analysis: Off-site web analytics is basically the
Key Performance Indicators (KPI) are navigational tools. These tools ensure a company stays on target with their goals (Marr, 2012). In this analysis there are two core goals under evaluation. They are: • Increase market share • Increase profitability (Sharma, 2011). Walmart and Kroger are both working toward the core goals listed above.
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.
Key Performance Indicators (KPI) also known as Key Success Indicator (KSI) is the main metric used to identify if a website goal is being achieved or not. The goals and the key performance indicators work hand in hand, because if there are no precise businesses goals, companies cannot identify what their KPIs are; irrespective of the richness of a metric.
On this week course, i read the material which is given on the reading assignnment and refer more information from internet about google analytics and web analytics. Though this
Data analytics is the science of examining raw data with the purpose of drawing conclusions about certain information that is drawn from the data. By gathering data, it must be captured and reviewed then it can be turned into information. There are different types of analytics such as descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics will describe, what happened during the process. Diagnostic analytics describes, why did it happen. Predictive analytics describes, what will happen. Prescriptive analytics describes, how can the process happen with a different approach. By applying these different types of analytics, it will answer several questions during the auditing process. Involving analytics to a process it requires
importantly, web analytics expands on the type of data to help organizations to achieve their
5. Kaushik, A. (2010). Web analytics 2.0: The art of online accountability & science of customer centricity. Indianapolis, IN: Wiley.
Sometimes it seems like the computer game industry is dying, crushed to death by its own bulk. Every year more and more gaming companies get gobbled up into huge conglomerates like Electronic Arts, companies that mostly put out trash that is technically and visually impressive, but devoid of concept and content. However, there are some small gaming companies that buck the trend. While mostly just small groups of programmers and artists, some are huge unions of fans who, irritated with the dropping quality of computer games, have decided to use the power of the internet to get together and to produce games tailor-made to their personal preferences.
A web analytics dashboard lets you track the execution of your website in real-time, and answer the critical questions like how is your site performing as for your Marketing destinations?" This dashboard example concentrates on a high-level, yet in-depth view of your website 's execution over numerous time periods.
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
Setting up Key Performace Indicators (KPI’s) will help us measure our performance, according to Kaushik, KPI’s are our best friends, they help up determine our progress against our objectives (2010).
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
Web analytics is nothing but collecting of web data, measuring the date, analysing the data and create the report of web usage. Web analytics used to measure the web traffic and also used as tool for business and market research for improve the effectiveness of web site. Web analytics can also be used to measure
Web analytics has changed a lot since the importance of both qualitative and quantitative data have been pressing businesses to be constantly improving. With the increase of data available to capture the importance of web data lies in translating the incoming data in ways that are actionable for the business. What good is data if it isn’t helping to improve? The important thing to remember with Web Analytics is that it is much more than just collecting and storing data. It is using that data in ways that provide insights for your business and lead to improved business decisions.
Google Analytics is a free web analytics cloud based software offered by Google that tracks and reports website traffic. Google launched the service in November 2005 after acquiring Urchin. (2016)