I’ve not published a great deal on the blog recently. In my defence, I’ve been doing a fair amount of paid writing work and my brain has run out of words temporarily.
If you’re interested, I’m writing (then delivering) a new training workshop on metrics and analytics for the lovely Mind The Product folks for their 2018 London conference; and I’m in the midst of writing a new talk on ethics in product management for DevTalks Bucharest.
Tickets are on sale for both, and the first lucky five readers can get free DevTalks tickets using the code JOCK18 or JOCKB18.
That’ll be a good test to see who’s paying attention :-)
And if you’d like me to write training or articles on product management for you, please get in touch.
I gave a talk recently about how I’ve been using data and analytics to guide my decisions in product management. I’ve edited the transcript a little and split it into bite-size parts for your entertainment. This bit is about the benefits of open and transparent data. The last bit was about how UK government digital services gather and use evidence.
If you’d have told me that August’s ProductTank London on analytics and decision-making would be one of the most risqué to-date, I’d have struggled to believe you. The talks had everything – sex, drugs and racy pictures of hot plumbing action. Read on for an 18-rated recap.
This content was originally published more than five years ago and is archived here for preservation.
More up-to-date content is available on this blog.
Everyone seems to be hyping Big Data right now. I think we’ve reached that slightly scary point where CEOs are aware of Big Data and are beginning to think it a panacea for all business ills. But I’m asking the question: what’s the big deal with Big Data?