data

6 things I learned at Adobe Summit

Monday, March 11th, 2013

1. Your data is only as good as your implementation.  When we implemented SiteCatalyst for the CBC we did a good job.  I can’t knock it, but implementation has gotten so much better with the use of Tag Manager, Processing Rules and contextual data tags I strongly feel like we need to re-implement the code.  It has been 4 years after all and since then we’ve changed CMS and video platforms, we’re expanding into mobile and other emerging mediums, departments have undergone restructuring and quite frankly some of the data we though was important, really isn’t.  I don’t know exactly how I am going to do this yet, but that’s why I make the big bucks.

2013-03-06 22.01.592. Marketing people know how to party.  Maybe it’s the nature of their business; connections and networking are everything, but I couldn’t help but feel a little like a wallflower.  Drinks were supplied and every evening there was a party at one venue or another; some hosted by Adobe, some hosted by vendors.  At the Summit Bash they had acrobats, chefs making hors d’oeuvres, lots of booze, and the grammy award winners Black Keys.  I lucked out and happened to make it to the front row just before the band started hence the amazing photo.

3. Big data means big troubles. You want everyone to use the data, but you don’t scale and more and more data is being produced everyday.  And while often hear “big data” being thrown around, but what you don’t hear is “big analytic team” or “big analytic budgets”.   I heard many people at the conference complain that they spend so much time collecting information they don’t have time to analyse anything. Adobe is working on helping analysts collaborate with other people in the corporation through the use of the Marketing Cloud. Essentially this allows analysts to share data quickly by adding it to a feed which sends the information out to every one on a project. I suppose it is the old line about breaking down silos but the new Marketing Suite seems to do exactly that.

4. Processing rules are crazy powerful.  As an implementer I am always interested in tools that can make my job easier.  Processing rules do just that.  They are similar to VISTA rules but are created by administrators, not just Client Care.  For example, you could create a processing rule that identifies branded and non-branded keywords for search traffic.  You could create a processing rule which identifies based on IP address and allows you to tag traffic as internal.  Processing rules can be used in a variety of ways, but one has to be very careful because you can screw up your implementation (See point #1).

5. Contextual data variables are going to make life easier.  One of the challenges when we faced our implementation was mapping out all the s.props and eVars.   I maintain a giant spreadsheet which I occasionally print out of all the variables across all of our report suites.  With 150 variables across 12 report suites it becomes a fair amount of effort.  Contextual variables allow you to call things what they are and then map them to the appropriate variables.  For example:

  • s.contextData['author']=”JK Rowlings”
  • s.contextData['section']=”books”
  • s.contextData['genre']=”fantasy”

The processing rules can take this information and slot them into whatever s.props and eVars you want and in whatever fashion you want to processing rules could concatenate or separate values.

6. We are a varied group of people.  There was something like 5,000 people at the conference, from 27 countries with over 1,800 different job titles.  One person even had the word “tzar” in their title; “content tzar” or something like that. I mingled and talked to some very interesting people: a guy from Costco who helped run their billion dollar website with a team of two, a woman who worked for SouthWest airline and utilized test and target, a couple of Brits who worked for Hotel.com who were involved in some of the beta tests for new Adobe products.  Everyone I met was intelligent, friendly and optimistic for the future.  Adobe threw a great party, but more importantly to me, passed on some great information.

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Cycling in the City

Friday, May 4th, 2012

I have been off the commuter for the past couple of weeks.  The need to dress up plus fighting a cold has kept me from pedalling to work.  However I do ride at least 3 times a week around the city and I am a huge proponent of cycling.   I came across this cool map on Openfile. It allows you to plot a ride and it will tell you which intersections and areas are accident prone.  For my commute it seems the intersection of Leslie and Lakeshore is the death  trap. You can also click on the number and see those 11 accidents.

 

A very nifty tool.  Also, the Toronto police have a survey asking about cycling safety habits. https://secure.torontopolice.on.ca/survey/public/survey.php?name=cpn0097_copy  But given the generic nature of the questions I am not sure what they are actually hoping to glean from it.

 

 

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A new Hans Rosling presentation on TED!

Thursday, October 7th, 2010

Here is one of the most entertaining presenters with stats. (I know an oxymoron or what, eh?)

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Slave to the computer

Friday, May 22nd, 2009

I am a slave to the computer, and no I don’t mean the one at work.  I mean the ones on my bike.  I recently downloaded an app for the iPhone called “Run Keeper“.  It is a wicked little app that tracks your journey through the use of GPS and a Google API, it keeps track of your time, and distance.

runkeeper

Click to enlarge

It provides a pretty detailed map of where you rode, as well as altitude and speed. With all of this data it will calculate your average speed, your average pace, total metres climbed and best of all calories burned. 

You can also transfer this map information to Google Earth which provides incredible satellite imagery of the journey coupled with people’s photos.

 

click to enlarge

click to enlarge

All cool as this is however it is only part of the information I require.  On my bike I have a small computer that relays information about my speed, time cycling and top speed in real time.

 I also utilize my Suunto 6C.  It is a watch that connects to a variety of instruments  such as a heart rate monitor to tell you your optimal effort zone.

 

Click to enlarge

Click to enlarge

 

The watch can also connect to what are called PODs which attach to your shoes or bike and help measure distance, speed, etc.

The funny thing about all this is this is information that training athletes need and for years they were the only ones with the dedication and need to pay for it.  But now it is so cheap (Run Keeper is free and watch was $250 used) that anyone can afford it.

I could correlate, aggregate, and dissect the data ad nauseum, to determine my peak riding hours.  I haven’t but I could. And while I may not ever do anything with the data, it is fun to collect.  I’ve now reached the point that riding without collecting data is just a waste.  Now at least I can claim part of my life is data driven.

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