I’ve been reading four books simultaneously these days. Of course, I shouldn’t really say simultaneously. I can only read one at a time. More accurate language would be ‘jumping between four books’. The first is Sam Ladner’s excellent thesis on the commodification of time in the new economy. It’s a pretty awesome read. The second is Gladwell’s latest book. And it’s a manageable read because the chapters are well contained. It’s called “What the dog saw”, and that line is pulled from one of the Chapters on Caesar Milan. Fun! The third is a seminal 500 page book about competition. And it’s a sobering read. And the fourth is about mental structures in the new economy. And I haven’t decided[…]

You may or may not have been hearing about a debate going on in web analytics. To most, it might seem like a lot of inside pool. And I suppose most of these things are. I want to talk a little bit about some of that inside pool. Over the course of my WAA Research Committee work last week, I stumbled upon a paper entitled “Assumptions, Explanations, and Prediction in Marketing Science: “It’s the Findings, Stupid, Not the Assumptions” by Eric W. K. Tsang. In it, he replies to a debate that’s been going on for a long time, but what natural scientists had settled a hundred years ago. Richard Staelin back in 1998 said that there’d always be debates[…]

The central scar, the central schism, as I view it, is in the disconnect about what analytics should be and what it actually is. There are those who look to the past. It is perfectly possible to do very thorough analysis about why what happened in the past, happened. There’s a large amount of valuable competitive advantage to be had that way. There are those who look to the past only to find evidence to confirm what they remember having thought. These are proof-seekers or justifiers. No further analysis over and above the baseline amount of proof is required. And, if the proof is unsatisfactory – then the data must be inaccurate. Frequently, all that is required is a simple,[…]

I applaud Joseph Carrabis for writing “The Unfulfilled Promise of Online Analytics, Part 1“. You need to read it if you want in on the debate. There’s been a fundamental schism in analytics since the 1930’s – between ‘advertising’ and ‘marketing’, really, as far as I can tell, since Hopkins died and was forgotten. So when Joseph holds up a mirror to the web analytics industry of course it’s going to be ugly. Of course you’re going to see a massive, gaping, puss-filled wound running diagonally across the face. I’m not going to shoot the person holding the mirror. Neither should you. And I’m not going to personalize the debate, either. I think we might be tempted to boil this[…]

An episode of South Park called “The F-word” aired on Friday night in the US, and Saturday night in Canada. Matt Stone and Trey Parker aired what many of us in social analytics knew already: the re-appropriation of the F-Word. The word has a lot of history attached to it. I don’t like the hateful connotation of the word myself. I’m not using it in that connotation. Far from it. I can get past history that to discuss an important phenomenon and the implications. So, if you’re uncomfortable with the implications of the term – stop reading and move along. I’m stating, very clearly, that if you don’t like the word – stop reading. ……. I’ll start by bringing everybody[…]

What should the outputs of an analytics program be? I’ll argue the outputs should include: profit, evidence (historical), clarified-concrete-measurable goals, decision support (scenario analysis), forecasts, customer intelligence, and competitive intelligence: all resulting in an expanding base of knowledge and competitive advantage. I didn’t mention mediums in that description. The medium is both the message and the problem preventing most programs from becoming a source of competitive advantage for their organizations. We’ve got some pretty big problems with the mediums. There’s a huge amount of work that’s going into moving data from multiple systems into a single system: a process called aggregation. What’s the most common aggregation point? A spreadsheet. It’s excel. It’s a not a very good solution. Usually it[…]

I watched all 8 episodes of Summer Heights High over the past week. Trailer below The series is from the Australian Broadcasting Corporation (ABC), which made for a difficult user journey in finding it. I first saw Summer Heights High on Air Canada flights during the month of September. They showed the first 2 episodes. I loved it. So, I looked it up on iTunes. Couldn’t find it. Then I looked it up on the interwebs and tried to find a nice way of watching it online. Couldn’t find a good enough source. Then I did more digging and found that HBO had bought the North American rights. (I didn’t know that this paradigm still existed, it’s kind of quaint).[…]

Most communities have jargon. Buried within that jargon are all the biases, beliefs and worldview that are held by that community. (This can be referred to as a paradigm.) The web analytics community is no exception. The terms ‘analytics’, ‘optimization’, ‘engagement’, ‘unique’, ‘pageviews’, ‘funnel’, ‘A/B Test Split Test’, ‘personalization’, and ‘filter’ all have their own baggage that anybody outside the community might not fully understand. Sometimes people get into disagreements over definitions in an effort to gain specificity. These activities are really quite important. An outsider might be mystified by why such disagreements become so heated. That’s because sometimes the real fight is over the paradigm or some feature of the paradigm. (For instance, the fighting over the term ‘unique’[…]

Friday will be my last day at Critical Mass. There are implications for what is written in this space. For one, there was a large body of material that I simply self-censored. This will change. For two, I’m anticipating that post volume will go up, at least in the short-run until I’m gradually consumed by this next role. Much doesn’t change. You can expect the same length of posts and the occasional rants and use of images. The subject matter will probably continue to focus on the meta and larger social issues around analytics. Most of the relentless plugs for the Web Analytics Association, Web Analytics Wednesday, and TDMF will persist. As for the next challenge: I’m pretty excited. My[…]