To be what we are …
and to become whatever we are capable of becoming,
is the only end in life.
Robert Louis Stevenson
Thanks to Kerstin Schinck (Deutsche Bank) I came across this great video, describing the evolution of organizations in correspondence to key aspects in collaboration, goals and participation. I see this as a good description, why „our digital transformation understanding“ (technology driven, but greater impact on people, leading, culture and collaboration) is following a long term evolution, where networking, new organizational forms, new ways of collaboration and communication are just logical steps.
Lean and Agile Adoption with the Laloux Culture Model from Agile For All
For those who see this very familiar, there is a close connection to „Spirals Dynamics“
Comparing Spiral Dynamics & Laloux Culture Model
Great reads about that:
This is one of the best #TED videos about #SocialMedia taking a critical look at it – from one of the starters Wael Ghonim of the #arabianSpring who puts it in very concrete messages.
#attention versus #quality in posts – is what we blame media for – but we do exactly the same.
Here are his to 5 conclusions in short:
1. We can not handle rumors
2. We create chambers of like minded
3. Others are also humans
4. Opinion change is hard because of speed of conclusions
5. Shallow statements win over discussions
I had the same experience, when I first used IRC chat in 1997 – connecting to people around the world. I was sure this transparency and connectivity can heal the world. Why, because history (mehr …)
Sorry for this long text – I needed to write some thoughts down, to engage a bit of discussion on it…please see it as an early draft…
It seems to be a given development, where the only question is „when“ will we see the massive impact of this digital transformation, initiated by the technical possibilities of collecting, gathering and structuring massive data. It is not hard to predict that the job of a „Data Analyst“ has a great future in such an environment, where it is vital to be able to interpret the outcome of this data collections. Also the quality and speed of software generated reports would be unfair to compare to our limited possibilities, when it comes to „simple tasks“. But what about driving conclusions out of such data?
The data itself become only an extremely valuable basis for decisions, investments and research, once there is someone (or something) which can make „Sense“ out of it. Let me explain in 3 examples, why I am quite concerned about this development – without seeing a movement of „deeper“ and also more „holistic“ thoughts coming up. (mehr …)