“I keep using it for more and more and my bill keeps going down.”
Alex King on Amazon Web Services price reductions.
I archived and backed up quite a few websites last month, and I use it for Emergent Radio shows. My last bill was $1.28.
On the flight from Houston to San Jose for ASTD Tech Knowledge, I once again marveled at how much open space there still is left in this country.
A few years ago I went to New Hampshire to do some user testing for SkillSoft. I remember mentioning to a colleague during the flight that I was surprised how much undeveloped land there was. It had an impact on me, as I wondered, and still wonder , what percentage of available land in the U.S. has actually been developed. I also noted how little of this country, let alone this planet, I’ve actually experienced in person.
I’ve mostly lived in big cities, but exploration has always been important to me. When I lived in Arizona we used to go camping every month; we could just drive up to the river and start exploring. I learned a lot during those experiences. It was unstructured, unsupervised exploration. I look at these amazing places I’ve flown over or ridden by, and I want to explore all of them. I know I cannot get to everything, but my goal is to explore more, both locally and when I travel (and, hopefully, on a motorcycle).
I hope to bring my kids along as much as possible. I’m reading Last Child in the Woods right now (thanks for the recommendation, Kris). It’s both enlightening and depressing. We all should explore more. Get out into the wild, or the closest thing you have to it, and look, smell, listen, learn. Bring your kids, so the only experiences they have with nature aren’t from The History Channel or Google Earth. Think about the spaces you’ve passed by but never explored. Go back with a new mission. Explore. Play. Learn.
Ask yourself, “what if this is the only time, or the last time, I’ll ever see this place?”.
If you love Apple, buy Apple, not AAPL. Use the technology to get paid for making things yourself.
Eddie smith — No AAPL, No Gain
My notes from Ellen Wagner’s presentation introducing big data to ASTD.
We’ve accumulated 2.8ZBs of data. That’s an insane amount of information.
People are willing to give up some privacy for convenience – tracking on sites like Amazon, Netflix – all recommendations based on “data breadcrumbs” you’ve left behind.
Learning organizations need to be more like businesses – looking at data, metrics, optimization.
Enterprises must do what’s in the best interest of their stakeholders/shareholders.
Analytics gives us the information we need to show value at the c level, demonstrate accountability.
We can, and should, learn from trends in business optimization.
eLearning Optimization – measure what we’re doing. We have to show what we’re doing or we won’t survive.
We now have expectations of accountability, transparency and quality.
Question: how do we speak in the language of the business?
Answer: we now need to be authentic – okay to speak like L&D if we have metrics to back it up. Ask the right questions – what are we looking for ?
Even if you think you have silos, the data probably shows differently and exposes the connections. “All analyses and stakeholders are interconnected.”
Where do you begin? No best practice yet. Folks are worried about what the data will show/expose.
Data driven decision-making is aimed at making better decisions.
Data tells us what happened and improves strategic planning.
Model building is an iterative process. 70-80% of efforts should be spent on data exploration and understanding.
Use data to improve decision making:
Where is your data?
ERPs, LMSs, HRIS, Surveys/end of course data
What are people actually using and how? Not just launches and completions but how people are engaging with the content. Figure that out and you’ll have a better idea of what people want, need and what you should spend money on.
Lots of talk about evals, but we rarely actually do it or do it well.
Get it at the front of the convo instead of at the end.
LMS are messy – never built for the data we now want.
Don’t buy the term, make sure you know what you want, and what you want to do with the information, and use features or request features that allow you to do that.
Start simple – Google Analytics, use that data to show value in data collection and get more/better analytics.
Look at marketing and advertising. How they use metrics and tracking. Learn from them.
Adobe now using LearnBench – tracking data.
Creation of middleware db should be priority for all institutions.
SQL or Hadoop for unstructured
SPSS or SAS for structured
People resist new ideas if it clashes with what they already know. Be prepared for that.