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Inclusion & Economic Efficiency Go Hand-in-Hand for Jen Gilbert, Tech Learning Manager at Lyft

Mary Thengvall on November 02, 2018

It’s no longer a question whether a diverse workplace is beneficial. Article after article has proven that a more diverse and inclusive team result...
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kylegalbraith profile image
Kyle Galbraith

This is a very well written post with a lot of insights that can benefit companies that are looking to improve their onboarding program. Having seen bad onboarding programs and implemented decent ones myself I can tell you that documentation pays off huge in this space. But as this article calls out that isn't enough, you must also ensure that individuals are comprehending the docs and why they are important. Often times this might have to be tailored to a variety of learning experiences.

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yucer profile image
yucer • Edited

Well done!

Nowadays, companies should realize that the most valuable assets are the intangible ones (methods & practices, software components, documentation, ... knowledge in general).

I did attend once a Bigdata conference whose topic was the value of the data. There was a remote interview to one Gardner analyst talking about a new type of insurance needed to intangible assets (I guess this is one reference to that work).

The anecdote told there was happened after 9/11 events in the WTC. The companies affected did turn to their insurances in order to recover assets, and they did receive a compensation for the tangible assets (hardware, furniture, etc..). Nevertheless there was no mechanism for insurance of those digital or intangible assets.

The fact is that, since the Industry 3.0, the information is becoming a key factor in the business. Not only that in documentation or software components itself, also that in the mind of the employees (the expertise).

I appreciate all those companies that invest in upgrading the maintenance of the intangible assets alongside the capability of their employees, prospects employees and user communities. They will profit for sure of enhanced productivity.

But we ultimately try to translate the qualitative feedback into numbers.

This is always an attractive field: modelling the semantics with Ontologies, mining them from the available data, detecting current issues, proposing solutions and making simulations to validate them.

A lot of fun! ;-)

Good luck.