Different people define it differently, few like it simple and straight like - Web analytics is the measure of visitor behavior on a Website. Web Analytics Association defines it as "Web Analytics is the measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimizing Web usage." However, I like to define it as “The study of visitor, visitors navigation and traffic patterns to estimate the success of a web-site. It focuses on the indepth comparison
amount of customer data these days. Even the free tools like Google Analytics give us incredible insights into where our traffic comes from and what people do on site. Yet, 80% of online retailers do not use their analytics sufficiently. Many don’t even track important actions like conversion rates and purchases. If one uses analytics only to measure the daily traffic, he is doing his self and his customers a disservice. Google Analytics has many ecommerce specific features which are not setup by default
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. Salient features of 10/90 rule
Current business and technology conditions that complicate effective application of business analytics to business intelligence and knowledge management data, and the prospects for improvement Businesses have collected data for many years. Most of the data they collect has been for historical purposes, such as how much of an item has sold and what are the profits gained from those sales. Business intelligence allows one to take that data, manipulate as you see fit and generate reports. The data
Centered Design (UCD) tool for designing the website and Search Engine Optimization for improving the website. The Web Analytics Framework A. Identifying Key Performance Indicators & Metrics which captures the counts and ratios infused with business strategy Examples: Conversion rate, average order value, task completion rate. B. The Web Analytics Maturity Model: Implementing Web Analytics metrics & Tools: This will enable to develop online goals, objectives, or standards for the organization. C. Implementing
proposal is to develop a metric based Web Analytics approach for increasing the number of visitors to SJU Alumni Website. To achieve this goal, we need to develop an optimal web analytics framework. This framework includes three methods. The first method is called the Data Capture which involves in collecting the right data using metrics. The second method is called Data Reporting which involves in reporting the key performance indicators and metrics using web analytics tools. Final method is called the
List the top ten business trends for IT. • Modern BI becomes the new normal • Collaborative analytics goes from the fringe to the core • All data becomes equal • Self-service extends to data prep • Analytics are everywhere, thanks to embedded BI • IT becomes the data hero • People start to work with data in more natural ways • The transition to the cloud accelerates • Advanced analytics becomes more accessible • Data literacy becomes a fundamental skill of the future For each trend, describe why
mining to become more strategic in order to increase the profits of their companies. Amazon.com is using sophisticated analytics applications. Amazon pioneered business analytics to become the leader of retail industry in the world. Another example of a major online retailer is TaoBao.com in China. It dominates the online retail industry in China and claims more than eight
According to Davenport (2006), an analytics competitor has the capabilities of gaining insight based on a consumer’s consumption to better make business decisions while optimizing the business processes. Many top organizations such as Amazon, Capital One and even the Boston Red Sox have implemented programs that allow for their company to better determine the products and prices of products that appeal to consumers. These programs also provide companies with the power to determine how to market,
they require data and some efficient analytical applications to analyse this data. Analysing the data and making certain decisions towards the growth of the organization, to remain ahead of the growing competition, forms the crux of competing on analytics. Most companies today make use of such analytical applications to make decisions that are best suited for them. Flipkart is one such company. Flipkart an e-commerce website was founded in 2007 by Sachin Bansal (Chairman) and Binny Bansal (CEO) –