Firstly, what is the 10/90 rule in Web Analytics?
In order to obtain the highest value from Web Analytics implementation, a company should spend 9 times more on investment in “Intelligent resources/analysts” than cost of analytics tool and vendor professional services. (Kaushik, 2010) In another word, for every $10 a company on a web analytics tool, it should be spending $90 on the people to analyze the numbers.
The focus is data interpretation, because numbers don’t talk for themselves.
It is kind of interesting, since Kaushik is representing the Google Analytics, which is a free tool. We common found that website owners who have grown accustomed to paying little money for web analytics have trouble paying for services related to web analytics. To have the 10/90 rule, you need to at …show more content…
To really practice the rule, the head of company should understand the process of collecting and analyzing requires much more time than reporting the results. Not just money, but also the majority of time and energy of an analyst is not direct reflecting on outcomes.
What’s more, E. Peterson adjusted the rule with the 10/20/70 rule for achievable web analytics success. (Peterson, 2007) It is very difficult to spend $90 of every $100 on “intelligent resources/analysts” given the extreme dearth of available talent relative to the number of jobs currently open in the market today.
He pointed out that, given above situation, the company should take $20 from that $90 and use for hiring and allocation of really smart or right people. He thinks it’s the process that matters.
It is true that finding a right person for the job is difficult. Being the magic maker who talks data and human language, a smart analyst need to transforming problems into data solving process, then turning the result into statement for decision
In order to obtain the highest value from Web Analytics implementation, a company should spend 9 times more on investment in “Intelligent resources/analysts” than cost of analytics tool and vendor professional services. (Kaushik, 2010) In another word, for every $10 a company on a web analytics tool, it should be spending $90 on the people to analyze the numbers.
The focus is data interpretation, because numbers don’t talk for themselves.
It is kind of interesting, since Kaushik is representing the Google Analytics, which is a free tool. We common found that website owners who have grown accustomed to paying little money for web analytics have trouble paying for services related to web analytics. To have the 10/90 rule, you need to at …show more content…
To really practice the rule, the head of company should understand the process of collecting and analyzing requires much more time than reporting the results. Not just money, but also the majority of time and energy of an analyst is not direct reflecting on outcomes.
What’s more, E. Peterson adjusted the rule with the 10/20/70 rule for achievable web analytics success. (Peterson, 2007) It is very difficult to spend $90 of every $100 on “intelligent resources/analysts” given the extreme dearth of available talent relative to the number of jobs currently open in the market today.
He pointed out that, given above situation, the company should take $20 from that $90 and use for hiring and allocation of really smart or right people. He thinks it’s the process that matters.
It is true that finding a right person for the job is difficult. Being the magic maker who talks data and human language, a smart analyst need to transforming problems into data solving process, then turning the result into statement for decision