UPDATED POST- Some Models I use for Business Strategy- to analyze the huge reams of qualitative and uncertain data that business generates. I have added a bonus the Business canvas Model (number 2)
- Porters 5 forces Model-To analyze industries
- Business Canvas
- BCG Matrix- To analyze Product Portfolios
- Porters Diamond Model- To analyze locations
- McKinsey 7 S Model-To analyze teams
- Gernier Theory- To analyze growth of organization
- Herzberg Hygiene Theory- To analyze soft aspects of individuals
- Marketing Mix Model- To analyze marketing mix.
Tatvic, a up and coming startup founded by an ex-Trilogy colleague, has helped with the R for Google Analytics package. While Tatvic is into heavy duty web analytics, they are betting big on R, and using it for Web Analytics. David Smith, most excellent blogger-de-chief in R universe has blogged on them before here http://blog.revolutionanalytics.com/2013/02/analyze-web-traffic-data-with-google-analytics-and-r.html
Here is an upcoming seminar on R in Web Analytics.
From this webinar, you will get to know:
- What is R and why should you use this tool? How to extract your Web Analytics data into R?
- How to build a predictive model using web analytics data with the help of R?
- How predictive modelling can take your analysis to the next level?
- How to carry out insightful analysis through visualization?
Who should attend: Every web analyst who wants to take his analysis to the next level.
ps- Hat tip to Caroline A
I am mostly language agnostic, though I dislike shoddy design in software (like SAS Enterprise Guide), shoddy websites (like the outdated designed of http://www.r-project.org/ site) , and dishonest marketing in inventing buzz words (or as they say — excessively dishonest marketing).
At the same time I love nicely designed software (Rattle,Rapid Miner, JMP), great websites for software (like http://rstudio.org/ ) and suitably targeted marketing (like IBM’s) and appreciate intellectual honesty in a field where honest men are rare to find ( http://www.nytimes.com/2012/08/12/business/how-big-data-became-so-big-unboxed.html?_r=1&hpw
I digress- Here are some papers I find interesting to read.