Musing on Twitter monetization strategies…

Posted by bkloss | Business Models | Sunday 8 February 2009 6:25 am
The last few years have proved this bird can fly .  But can Twitter
dodge arrows?  Only time will tell.

I’ve been on Twitter for a few years now but it’s never managed to capture my full attention.  What has been taking up my attention is reading the seemingly never ending stream of recent posts where everyone knows the  best way to monetize Twitter .  One idea that’s been bandied about is the potential to leverage their mass amount of personal data as a monetization strategy through targeted adserving or third party partnerships. Yes, sites like Twitter and Facebook probably have more data about us than our own mothers but their ability to turn this data into dollars is hampered by three factors:

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SAS Resume Tools

Posted by bkloss | Data Visualisation,SAS | Wednesday 4 February 2009 10:00 pm

Although you may consider yourself an Analyst, during your job search you need to think like a salesman . Every interaction with a prospective employer is a golden opportunity to sell yourself. Submitting a resume is equivalent to cold calling a client so stick your foot in the door by connecting quickly with the hiring manager. At a glance, this person needs to see what they’re looking for or else your resume will hit the bottom of the pile, or worse, the paper shredder.

The simple tools provided below turn any SAS Job resume into a targeted sales weapon. The first visualization displays the words that occur most commonly among 450 SAS job postings from SASJobs.BlogSpot.com and SASJobs.com . Make sure you address each of these terms appropriately in your resume and personal statement. The bigger the word, the more commonly it was used- act accordingly. If you want to drill down even further, click on the layout drop down to increase the maximum number of terms shown.

These Visualizations work best in Fire Fox    ————-      Make sure to have Java enabled

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Youtube Cashes in on Rampant Piracy

Posted by bkloss | YouTube | Monday 26 January 2009 1:54 am

Googlezon unite!!

Rumors of a Google – Amazon mp3 partnership surfaced mid last year (Googlezon! ).  Apparently, the relationship was cemented because Youtube now serves its visitors offers to buy Amazon mp3s related to the content they are viewing.  Let me be clear, you should read ‘related to the content’ in the previous sentence to mean the exact same content you are viewing.  To put it bluntly, YouTube is making a pitch for you to buy the song you’re listening to, the song that someone illegally uploaded.

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Sorting Data in SAS with Proc Sort

Posted by bkloss | SAS | Sunday 18 January 2009 7:54 pm

The SAS Sort Procedure

Sorting data in SAS is an everyday task accomplished for a variety of reasons.

    1. Certain types of reports require that data be presorted to present results accurately.
    2. Programs that include a where statement can execute more quickly on a sorted data set.
    3. Unlike SQL, SAS requires data sets to be sorted by a common variable before a join operation can occur.

      These examples are just a few situations where a presorted data set is necessary or essential.  Luckily, PROC SORT is a relatively simple procedure.  The Basic Syntax is below:

      Proc Sort data =<data set>;

      By <variable-1 … variable-n>;

      Run ;

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      GeoSpatial Analytics Gallary

      Posted by bkloss | Geospatial Analytics | Monday 1 December 2008 6:54 pm

      One of the most difficult, yet rewarding, parts of my job is communicating complex analysis results in a compelling, intuitive manner.   Often times, numbers are not enough.  Instead, you need a visual representation to hammer home your main points and insights to upper level stakeholders.

      GeoSpatial analytics is on a meteoric rise because of its ability to do just that. Look no further than the flashy touch screen maps used by CNN during the election to convey numeric data in a sticky fashion.

      Please enjoy a gallery of my most recent visualizations below.   Feel free to ask questions if you would like to know how any of these maps were produced. (click any image to see a slideshow).


      Tools Used

      ArcGIS, SAS/Base, Excel, SAS Bridge

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