A plea to the US Department of State on their decision to move email services to the cloud.

I firmly believe a large majority of the technical community is absolutely astonished by this news.  We all know continuing to host the existing Exchange infrastructure “in house” would offer significant cost savings, especially when you layer in a cost conscious virtualization initiative (Citrix, VMware, etc.) and retrofit existing software and hardware.

The US Governments Interior Department is posed to pay out $34.9 million dollars to Google to host email services for 90,000+ employees. This is of course all after turning down a $50.3 million dollar contract with Microsoft for Office 365. It’s seems like interior department was bound and determined to take more of a cloud based approach to email rather than continue hosting the infrastructure internally.  As a pragmatist, it would be awesome to see how the two competing contracts played out in an effort to better understand why sourcing email to the cloud was considered over using the traditional “in house” method.

Was it the cost of licensing? Continue reading “Department of Interior concerns” »

 

Is it possible to gage the performance of a stock by only looking at how often a word or phrase is distributed among social media channels?

More specifically, if a group of individuals or demographic were to relay comments or concerns (positive or negative) about a specific stock or company via a “trendable” social media outlet, then can there be a direct correlation to the overall performance of the stock?

Since there are so many different variables at play how can we attempt to tackle the question at hand and correlate these streams of data to stock performance or decline? At a quick glance one would anticipate several road blocks to acquiring the data which is fortunately not the case.  There are various API’s available via various social media streams which allow developers to perform complex data requests which can be stored locally and later used to determine if the “performance link” exists. Continue reading “social media streams and stock performance” »

 

Ever wonder how domains are valued? You know, like how do all the websites out there place value on a site? I’m guessing the algorithm involved is a trade secret right? Even though at may be as simple as the one we are proposing.  In all honesty, I almost find it hard to believe these sites can properly value a site if they do not have the appropriate usage statistics at a minimum. Sure there are other sites like Alexa that claim to know the information, but based on my experience they are completely off.

Naturally, I’m a skeptic. I always like to try to simplify the math and share it. Let’s take a quick second and see how we can value our own websites using the data we are already gathering from Google Analytics or Webalizer.

In order to make this work and properly gage your investment of hard work and dedication,  we need the following website statistics to make this work:

  • Question One: Total Visits. –> Use the previous months stats.
  • Question Two: Duration. –> Tell us how long (on an average) each user spends on your website.
  • Question Three: Expected price per minute. –>  As a baseline, lets use the federal minimum wage ($7.25) and boil it down as price per minute ($0.12). Our goal here is to at least price the site based on minimum wage.

Here is the code (C++):

{
  string mystr;
  int quantity=0;
  int my_visits=0;
  double av_duration=0;
  double pm_value=0;
  double mn_value=0;
  int mn_hour=60;

  cout << "Enter Total Visits: ";
  getline (cin,mystr);
  stringstream(mystr) >> my_visits;

  cout << "Enter average per visit duration: ";
  getline (cin,mystr);
  stringstream(mystr) >> av_duration;

  cout << "Enter per minute value: ";
  getline (cin,mystr);
  stringstream(mystr) >> pm_value;

  mn_value=my_visits*av_duration;
  cout << "Total (minutes) consumed overall: " << mn_value << endl;
  cout << "Total (hours) consumed overall: " << mn_value/60 << endl;
  cout << "Total (days) consumed overall: " << mn_value/60/24 << endl;
  cout << "Total (weeks) consumed overall: " << mn_value/60/24/7 << endl;
  cout << "Total (years) consumed overall: " << mn_value/60/24/7/12 << endl;
  cout << endl;
  cout << "Website value based on input: $" << mn_value*pm_value << endl;
  return 0;
}

I went ahead and ran the numbers from the past month of usage statistics from a random site. According to the math in this example, the sample site is worth a whopping $11,969 dollars for the month! Now multiply that by 12 and you get $143,628. I’d say that’s a fair investment on content, and a fair market price for a site that pulls in this type of traffic (see below). The math doesn’t lie, I firmly believe this is a simple conservative approach to applying a monetary value to your website and allows you to see if you hard work has panned out or not and if you are looking to price add space for potentual advertisers, you have something concrete to build from. Continue reading “Quantifying Domain Value” »

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