10 90 Rule Essay
Introduction
Numerous studies have pointed out that while almost all Fortune 500 companies have great investments in "Web Analytics" they still struggle to make any meaningful business decisions. Most people complain that there are terabytes of data and gigabytes of reports and megabytes of Excel and PowerPoint files. Yet no actionable insights, no innate awareness of what is really going on through the clutter of site clickstream data.
The 10/90 rule
Through humble experience in this field, Avinash Kaushik has developed a rule to fix this problem and achieve magnificent success. He calls it as 10/ 90 rule.
• Goal: Highest value from our investment in web analytics
• Percent of time and effort spent on the selection and deployment of their technology platform:10%
• Percent of time and effort spent on the hiring and …show more content…
The cost of analysts needed to draw insights. We could lump this element with the previous one, but it is important to be aware of the 10/90 rule and realize that we can’t just buy the tool; we also have to hire a relatively intelligent brain to interpret the data.
Encourage to poke and dig for data to get a clear understanding of what the TCO is for each vendor. And say this throughout the book: remember the 10/90 rule. A great tool in the hands of reporting squirrel is useless. A free/inexpensive/ underpowered tool in the hands of analysis ninja will yield massive results that impact your bottom line.
Yet the top 10 barriers have absolutely no connection to features and barely have any connection to tools. The tools barrier is the last one listed. This should not be a surprise to anyone who believes in the 10/90 rule. But it is still sobering to realize that most of the barriers to a company’s success are unconnected to your
Numerous studies have pointed out that while almost all Fortune 500 companies have great investments in "Web Analytics" they still struggle to make any meaningful business decisions. Most people complain that there are terabytes of data and gigabytes of reports and megabytes of Excel and PowerPoint files. Yet no actionable insights, no innate awareness of what is really going on through the clutter of site clickstream data.
The 10/90 rule
Through humble experience in this field, Avinash Kaushik has developed a rule to fix this problem and achieve magnificent success. He calls it as 10/ 90 rule.
• Goal: Highest value from our investment in web analytics
• Percent of time and effort spent on the selection and deployment of their technology platform:10%
• Percent of time and effort spent on the hiring and …show more content…
The cost of analysts needed to draw insights. We could lump this element with the previous one, but it is important to be aware of the 10/90 rule and realize that we can’t just buy the tool; we also have to hire a relatively intelligent brain to interpret the data.
Encourage to poke and dig for data to get a clear understanding of what the TCO is for each vendor. And say this throughout the book: remember the 10/90 rule. A great tool in the hands of reporting squirrel is useless. A free/inexpensive/ underpowered tool in the hands of analysis ninja will yield massive results that impact your bottom line.
Yet the top 10 barriers have absolutely no connection to features and barely have any connection to tools. The tools barrier is the last one listed. This should not be a surprise to anyone who believes in the 10/90 rule. But it is still sobering to realize that most of the barriers to a company’s success are unconnected to your