Ah, writing a blog post! This is a pleasure I was forgetting, and you can guess it looking at last post date of publication: it was around january... you may be wondering: what have you done along this long time? Well, quite a lot indeed:

• changed my job ( I am now working @ Intesa Sanpaolo Banking Group on Basel III statistical models)

• became dad for the third time (and if you are guessing, it’s a boy!)

  tags: algorithm /analytics /apps /computer science /data analysis /data analytics /Github /R /Rstudio /shiny /shiny apps /social media /social media analytics /tutorials /web query /

It was around midnight here in Italy: I shared the code on Github, published a post on G+, Linkedin and Twitter and then went to bed.

In the next hours things got growing by themselves, with pleasant results like the following:

https://twitter.com/DoodlingData/status/635057258888605696

The R community found ramazon a really helpful package.

And I actually think it is: Amazon AWS is nowadays one of the most common tools for online web applications and websites hosting.

tags: algorithm /amazon /analytics /apps /aws /data analytics /R /Rstudio /shiny /shiny apps /

The last Report to the Nation published by ACFE, stated that on average, fraud accounts for nearly the 5% of companies revenues.

on average, fraud accounts for nearly the 5% of companies revenues

Projecting this number for the whole world GDP, it results that the “fraud-country” produces something like a GDP 3 times greater than the Canadian GDP.

tags: algorithm /analytics /apps /computer science /data /data analysis /data analytics /fraud /fraud analytics /internal audit /R /shiny /shiny apps /

As I am currently working on a Fraud Analytics Web Application based on Shiny (currently on beta version, more later on this blog) I found myself asking: wouldn’t be great to add live chat support to my Web Application visitors?

It would indeed!

[caption id=“attachment_490” align=“aligncenter” width=“200”] an ancient example of chatting - Camera degli Sposi, Andrea Mantegna 1465 -1474[/caption]

tags: analytics /apps /chat /data analysis /R /shiny /shiny apps /tutorials /

If you have a blog you may want to discover how your website is performing for given keywords on Google Search Engine. As we all know, this topic is not a trivial one.

Problem is that the analogycal solution would be quite time-consuming, requiring you to search your website for every single keyword, on many many pages.

Feeling this way?

[caption id=“attachment_273” align=“aligncenter” width=“300”] “Pain and fear, pain and fear for me” - Oliver Twist[/caption]

tags: algorithm /analytics /apps /google /R /Rstudio /SEO /shiny /shiny apps /social media /social media analytics /web query /