The Art of Knowledge
SABA - Ananlytics in Human Capital Development
Ok, so why I am so interested in this stuff you ask? I think once you come to some sort of material peace with yourself and you no longer seek the strange pleasures in life as your only motivation, you start to seek out how you can help and still be important. For some, after little deliberation, it's family, other's, God. I think those are the two major players for an unselfish outlet. Mine, right now is Human Capital issues. It interests me. I know that without solutions or at least ditch diggers our economy will cotinue to struggle and even scarier, the wealth and socio-oppurtunity gap will get larger. I don't want to see that. So I need to help in some way. Plus, it would be nice to be able to sustain myself off of what I feel is important. It's also a budding industry open for people with ideas. Anyway this article was sort of boring but important to read because it gave analytics to human capital and turned me on to some metrics used in the industry.
- Cost of learning is at 2% of the payroll
note - I wonder what the cost of lost initiative due to uninformed or underqualified staff, disgruntled stagnant employees quitting or worse wasting and stealing, and layoffs - Quantify ROI by defining competencies directly attributing to the corporate objective
note - - PDP! - Why are people investing in learning? - Learning and skills are a horizontal quality in what is becomming an evermore vertical economy.
note - - Learning is being bulked into human capital and rightly so but with analytics it is now able to be written to the bottom line and ROI. Qualifying learning expenditures is a tough bag though. - Software and retail companies are spending upwards of 10% on learning. These are volatile markets.
- "If you can't measure it you can't manage it"
- Kirkpatrick Model
- Only 9% of companies can measure learning impact on job performance
- Only 6% of companies can measure learning impact on a business objective
- With analytics corporations can create causal relationships between the learning efforts they make and the results they get
note - These numbers tell me two things. 1) Analytics is now vital to proposing any sort of learning initiative. Companies aren't stupid and eventually they'll stop funding what they can't prove is working. 2) With this analytical systems and the numbers being that low there will be a huge boom soon. In fact it's happening now in the big boys who can afford it, but wait til it gets real mainstream.
- Only 9% of companies can measure learning impact on job performance
- Developing the system
- User Friendly - Static reports aren't analytical. You need to be able to drill down and see exactly what's happening and where. You need to know that Bob's group in pheonix is not retooling and why. Each user's system should be designed to personally (organically) fit them. No training should be necessary to use it.
notes - Ok first off, "No training to use it" goes against the entire principle of the learning economy (oh schnapps Tim..."the learning age"). Secondly, if I see the term "user friendly" one more time I am discrediting whatever it is I am reading. - Out-of-the-box Analysis - they basically talk about designing a system.
notes - Duh...this article is starting to disappoint me - Intuitive and Effective Data Sharing - Users of the system do not need to be analytical. They should receive emails with reports. Get everyone involved and make it a mandatory experience.
notes - Ok I'm not thinking like these people are. The way I envision any system that I create from here on out is that if they are confused about the system then they can learn about it right there while they are attempting to work. I have never used a system, software, or piece of machinery without having to "feel it out" first. The thing is, with Learning Objects and the new LMS paradigm we don't have to have trial and error. We can just learn about it right there. Come on people let's start thinking like we are going to change something not just get our own little niche and make a quick buck. And to reitterate, the LMS is the key. The system that supports this is the key. - Enterprise Scalable Architecture - Base the system on a data warehousing paradigm. Think beer and diapers.
notes - OK so I may be getting sidetracked. This article is about being able to qualitatively diagnose learning initiatives. Ok, but damnit I want them to start seeing the light of the sun, not just their own flashlight. Basically, analytics is a nice way of using current data warehouses to mine data analytically to show results and prove theories. It can make elearning viable and that is good.
- User Friendly - Static reports aren't analytical. You need to be able to drill down and see exactly what's happening and where. You need to know that Bob's group in pheonix is not retooling and why. Each user's system should be designed to personally (organically) fit them. No training should be necessary to use it.
Link posted by JVMM : 9:20 AM