History: Swivel

One of the things I find most valuable is the history of a thing. In virtually every organization I've worked with, history has been vital, but massively underappreciated. At the end of the day, organizations hemorrhage institutional knowledge -- they remember what decision was made, but not why. Often this is because they fail to appreciate the necessity of documentation and/or the importance of the reasoning behind the decision. Inevitably, they thrash through the same thought processes over and over again when they could be moving on to the next thing.

All of this is a way of saying that history is a reluctant teacher. It stands there in the corner, knowing the answers to many of your questions, but will only enlighten you if you ask. (Data is another reluctant teacher -- as many of our questions can be answered with data on hand if only we know how to ask, but that's another discussion entirely.)

Learning Visual Analytics

I've read enough stuff now to begin to understand how far I have to go. There are lots of resources out there and twice as many opinions. Visual Analytics is truly a nascent space with, in my opinion, more energy historically given to the "visual" than the "analytics".

That said, I am beginning to structure my education thusly:

• Technologies - What technologies must one master?
• Contributors - Who are the organizations and individuals that are contributing to this space?
• Economics - How the industry is shaping up in terms of monetization options, packages, margins, etc.?
• History - What has gone before and what we can learn from it?

First historical perspective next.

An Old Story, An Old Wound

In 1971, Atlanta was still very much a small town. The interstate highways were not completed, so a trip from Atlanta to Marietta took an hour or more. (It still does, but for different reasons.) I remember one leg of this journey required crossing a one-lane bridge. That's one lane total as in "You go, then I go".

My grandfather lived in Marietta. He and my grandmother had divorced years earlier (an unusuality in the 1970's South) and we grandchildren trekked up to see him a couple of times a year. His was not an active presence in my life. He was distant, both physically and in my knowledge of him. But we lived with his shadow every day. Me with the idea of him built only from observations through small-child eyes; his children with the heavier memory of what might have been. He was short, trim, and drank Coca-Cola like a fiend. He was smart and well-read. From what they tell me of him, I would have liked him. I loved my grandmother with all my heart and I think I would have loved him, too.

This is how I envision what happened.

10 Thoughts About Finding A New Job

So, I have a new job lined up which I'll start late next week. But I wanted to reach this milestone before making a few observations about the process of finding a job (and the associated malady of being unemployed), which, in today's market, is not for those with weak constitutions.

1. Time of year matters. August was dead and September was surprisingly feeble. It wasn't until October (and Q4) rolled around that employers began to get serious about hiring. I imagine that late November and December will be wretched with a nice uptick at the start of the year. I further imagine it'll hum along ticketyboo until June, when it'll die down again during the summer. The good news is that there are jobs out there, more and more as the weeks wear on into winter.
   
2. Job search engines are largely worthless, even as search engines. There are one or two out there that are probably worth one (1) month's investment in their premium service, but I found them, in general, to be greedy (refusing to show you an employer's name without paying them) or wrong (linking to jobs that were no longer open). Often both.

Axioms of Visual Analytics

As I strive to learn more about the visual analytics space, I've tried talking to people in that industry to understand how the industry is structured and what skills are required to participate. On Friday, one of the smart folks over at Juice Analytics generously (and patiently) spent more than an hour with me answering questions about the space. Here are some of the things I've learned:

Axiom 1: Your data elements are not your children - you're not required to love them all equally. This is a famous-ish quote. What it means, essentially, is that just because you have data doesn't mean you're required to use it. Depending on what you're trying to accomplish. some of it might not be necessary. Which leads to...

Midnight Madness

I had a great meeting this morning with one of the folks over at Juice Analytics and walked away truly excited about the possibilities in the visual analytics field. In fact, I learned so much that I have to condense my thoughts into one or more posts. More on that next week.

Instead, I thought I'd close a blogless week by pointing out that today is the official start of the College Basketball season -- my favorite time of the year. Let's go Duke!

My First Four Analytics Lessons

I had a good meeting the other day with a very smart friend of mine (I have lots of friends who are way smarter than I am -- it's a secret to success). This buddy began his career as a graphic designer and is now a Brand Strategist for a well-known consumer product goods (CPG) company here in town. My intent was to pick his brain about his career -- what kind of training he needed to do his job, what did he look for in a job opportunity, what are the economics of his segment, how might one enter this segment, etc.

But our conversation, interestingly, swiftly turned its gaze towards analytics. I mentioned my interest in visual analytics and described what this field was. He was intrigued. We talked a lot about consumer marketing campaigns and how to measure their effectiveness, particularly when you start rolling social media into the mix. How do you know your marketing spend mix is optimized? How can you measure its impact when we're talking about hearts and minds?

Warren Buffet on Hiring

"In looking for someone to hire, you look for three qualities: integrity, intelligence, and energy. But the most important is integrity, because if they don’t have that, the other two qualities, intelligence and energy, are going to kill you."

The Conversation Prism

Presented without comment, for now.

The Conversation Prism by Brian Solis and Jesse Thomas