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Essay On 10-90 Rule

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According to Avinash Kaushik, 10/90 rule is a way to achieve magnificent success from web analytics implementation. In this rule, “$10” means that 10 percent of the cost is about web analytics tool and vendor professional services. “$90” means that 90 percent of the cost is the investment on intelligent resources and analysts. In another word, when a company spends 10,000 on analytics tool 90,000 should be spent on the brains to make sense of the data.

There are many web analytics tools we can find. Some of the analytics tools are very popular like Google Analytics or Yahoo! Web Analytics. These great tools are free to use so that someone might think 10/90 rule is invalid (No $10 spent on tools). However, even these free tools are used, $10 part is not waived actually. Due to Avinash Kaushik’s opinion if we want to use Goole …show more content…

Avinash Kaushik recommends us to ask ourselves the question “Do I want reporting or analysis?”. The following are some reasons for choosing reporting only tools. If there are many different leaders make decisions in a company, reporting only tool is a good choice because these leaders need data that they can process, not the result or recommendation after analysis. If the company culture dictates checks and balances, with multiple oversights and the need for proof, this kind of companies requires a supply of information. When the organizations have a number of tools which are geared toward reporting, the reporting tools are what they need. Older companies historically have worked by people publishing reports and data. For these companies, data is more important than analysis. Doing analysis means losing some control and trusting people who know how to do their jobs. If the companies’ cultures do not encourage that then the reporting tools should be used. If the organization has invested in analysts, it is better to provide data to them by using reporting

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