John Foreman, Data Scientist
  • Home
  • Data Smart book
  • Speaking & Events
  • Featured Talks
  • Blog
  • MailChimp
Contact

Reach vs. Motivation and the Hacker News Bump

2/23/2014

0 Comments

 
At the beginning of November, my data science book came out from Wiley. The book seems to have been useful to some folks, and that's about the best one can hope for from a technical book.

Now, the thing about publishing a technical book is that even though the publisher can get the book to the shelves, it's still up to the author to do a lot of their own marketing. The publisher ain't going to push this thing like a new Games of Thrones book (not that that'd need advertising...or that that's going to happen at this rate. Anyway...).


It's probably fair to say that most technical authors are not great marketers. It's a tough job, because unless you're writing on a very niche subject, there are probably a few competing titles for a limited number of eyeballs. How do you get people to pay attention to your book?

Well, for me I did plenty of the basic stuff -- things like tweeting about the book a lot much to the annoyance of my closest Twitter pals. But today I want to talk about the three things that I've done only on a semi-regular basis:

1. Write blog posts 
2. Do interviews that are posted online
3. Speak at conferences

And since the book came out, some of my interviews and blog posts have made it to the front page of Hacker News. So pairing up when all these posts went up and when I spoke with my sales data from BookScan, I was able to get a sense of which of these activities gives me the best bang for my buck.

Now, I hoped the most effective activity would be blog posts. Why? Because I like writing, and I don't have to leave my bedroom to do it. Interviews are cool too, but while they don't require travel, they do require me talking about myself, which is nauseating. 

As for speaking, it's is a lot of fun, but as a father of three, I don't like being on the road all the time and I keep wondering whether speaking is all that great since you don't have the internet as your bullhorn. You can only sell your book to a few people in the room. It's got limited reach.


So, here's a line chart of my sales numbers (I erased the y-axis but it does start at 0) for all the weeks since the book was released. I've noted important events on the graph. Let's dig in.

Read More
0 Comments

Data Privacy, Machine Learning, and the Destruction of Mysterious Humanity

2/22/2014

7 Comments

 
Recently, I wrote an article about Disney’s new RFID location and transaction tracking technology, the MagicBand. Perhaps more magical for Walt than it is for you, the band allows Disney to track their customers’ actions inside their parks (and possibly outside). Where you walk, what you eat, when you stop to borderline-abusively yell at your kids. All that magic gets tracked.

This personal data is then used to deliver individually customized experiences to park-goers, and as a by-product, Disney gets to do all sorts of analysis on the data to figure out how to squeeze you for all you’re worth.

My personal tale with the MagicBands is one of pirates. My kids rode Pirates of the Caribbean all day, so when they saw Mickey, he talked not about Buzz or about Peter Pan but about Jack Sparrow. Bam! Big data in action. Mickey knows.

This kind of tracking is unnerving for some. Indeed, one of my post’s readers called me an asshole for so flippantly discussing the topic. 


Read More
7 Comments

A follow-up conversation with GigaOM on my Disney post

2/21/2014

0 Comments

 
A few weeks ago I wrote a piece on Disney's MagicBand technology. I then actually went to Disney, and my kid puked. So the only thing to do was a podcast about that with GigaOM. This podcast actually fleshes out how Disney used their tracking data on my own family (hint: it involved Jack Sparrow).

Podcast here.

0 Comments

You don’t want your privacy: Disney and the meat space data race

2/20/2014

1 Comment

 
Reprinted here from my original post over at GigaOM.

When my wife and I went backpacking around Europe 10 years ago, we made a vow to each other. After seeing the stunningly blue waters off Greece, the paragliders sailing through the Austrian Alps, the idyllic countryside of Slovenia, we said, “Never will we take our children to Disney World. Why would you need something so manufactured when you have the real world?”

It’s 10 years later. And I left for Disney World on Thursday. The thing I didn’t understand, which, now that I have three boys, I know in my bones is this: You can’t see Buzz Lightyear while backpacking.

Oh well, Walt! You win.


Read More
1 Comment

Why Soft Skills Matter in Data Science

1/25/2014

2 Comments

 
I’d like to offer up some thoughts about what it means to practice data science in the real world, because merely knowing the math isn’t enough.

Anyone who knows me well knows that I’m not the sharpest knife in the drawer. My quantitative skills are middling, but I’ve seen folks much smarter than me fail mightily at working as analytics professionals. The problem is that while they’re brilliant, they don’t know the little things that can cause technical endeavors to fail within the business environment. So let’s cover these softer items that can mean the success or failure of your analytics project or career.

Read More
2 Comments

Defending PowerPoint Against Tufte

1/24/2014

5 Comments

 
 Having been a consultant to the federal government for a number of years, it was hard to not hear about Edward Tufte. The style of communication used by government consultants and their clients (particularly the military) are anathema to the longtime information design,data viz luminary. So when I was at Booz Allen, my team used to think about his perspective as a counterpoint to how we built data visualization products.

Today, I had the privilege of attending one of Tufte’s training sessions in person. I along with a few hundred other folks gathered in a hotel ballroom for a 6 hour tour of his many books and theories. 

Read More
5 Comments

The Jackass Who Slapped His Face on His Technical Book

11/17/2013

6 Comments

 
Now that my book is in the wild, I've been getting a lot of questions:
Why does Excel 2007's nonlinear solver crap out on k-means unlike the newer 3 versions of Excel? 
Why bother calculating t stats manually in the book?
If I want to learn more about data science after finishing this book, should I go back to school?

But my favorite question: 
Why in the world is your face on the cover of your book? and upside down to boot?

Read More
6 Comments

Remember Kobayashi Maru

10/31/2013

1 Comment

 
In my experience, data scientists crave problems to solve like I crave
Conecuh smoked sausage. You didn't study that much math and stats to
not use it!

So when you're handed a problem, you'll often bend over backward to
build a model that handles every bit of it.

You need to predict who's gonna want cheese curls and when? I'm your
scientist.

You want to optimize your outbound supply chain in light of Icelandic
Hidden People? I've got a minimax integer programming formulation
that'll handle that.

But few often ask, should we be modeling that? Should we as a business
in fact be *doing* whatever it is we're trying optimize?

Read More
1 Comment

If Your Goal is to Hire Bullshitters, Make Them Bullshit.

10/23/2013

0 Comments

 
Picture
When I was coming out of grad school, I decided I wanted to be a management consultant. There are a lot of terrible things that come with that industry, but I wanted to obtain a variety of work experiences quickly, and consulting is one field where that's possible.

Consulting tasks are rapid fire engagements where the client is charged high hourly rates for a concentrated load of supposed consulting firm wisdom. Oftentimes that wisdom is delivered using paint-by-numbers frameworks that people have prebuilt the powerpoint slides for, but well, companies keep buying it anyway for some reason.

Because that's the case, consultants need to appear to know what the hell they're talking about most of the time -- they need to be quick on their feet. You don't hire a bunch of consultants who fumble for words when presented with a problem only to say, "We'll get back with you."

So, if that's the kind of person you want -- quick witted, good using the back of the napkin, a winsome bullshitter -- how do you interview them? 

Read More
0 Comments

Data Science and the Techonological Realization of Postmodern Thinking

10/17/2013

5 Comments

 
I'm taking a break from writing things that try to sell my book. Except for that intro sentence about my awesome data science book. And that one too.

No, I'm starting to bore myself. So I thought instead that today I'd write about postmodernism, data science, and how the two intersect. I really love the concepts that come out of postmodernism. They changed how I view everything from how I read film to how I practice my religion.

But what does postmodernism mean for my work as a data scientist? Let's step back a moment.

Read More
5 Comments
<<Previous
Forward>>

    Author

    Hey, I'm John, the data scientist at MailChimp.com.

    This blog is where I put thoughts about doing data science as a profession and the state of the "analytics industry" in general.

    Want to get even dirtier with data? Check out my blog "Analytics Made Skeezy", where math meets meth as fictional drug dealers get schooled in data science.

    Reach out to me on Twitter at @John4man

    Picture
    Click here to buy the most amazing spreadsheet book you've ever read (probably because you've never read one).

    Archives

    January 2015
    July 2014
    June 2014
    May 2014
    March 2014
    February 2014
    January 2014
    November 2013
    October 2013
    September 2013
    August 2013
    July 2013
    May 2013
    February 2013

    Categories

    All
    Advertising
    Big Data
    Data Science
    Machine Learning
    Shamelessly Plugging My Book
    Talent
    Talks

    RSS Feed


✕