A data society for a society of data

Benjamin Van Renterghem
Jun 20 · 4 min read

Analyses provide data prosperity to all people and businesses around the world. In a regular society a person establishes a network of competent people around him to fulfil his needs, to solve complex problems or to capitalise on opportunities.

The medium through which this competence is validated is by monetary reward. This system creates a relatively efficient economy, you are very skilled in one area and rewarded for your set of skills, you can use this reward to pay people who are very skilled in a different domain.

This means that, in theory, you and the competent people in your circle both benefit from interacting with each-other and sustain each-other’s growth. Your ability to build a network of competent people around you directly depicts your ability to provide growth to yourself, your family and your network.

In practice things quickly become more complicated than they should, the mentally unfortunate get left behind to suffer in despair and the need for a second, open-to-everyone and easy-to-reach network arises. This new society is one of objective reasoning, one which manages to inform every person regardless of their intelligence, mental or physical limitations.
It is a hive-mind where one contributes and learns.

In order to create and sustain a new economy in this society the ones who:
— contribute concepts of analysis,
— contribute written code to facilitate the execution of concepts,
— the ones who express their need for help
are all rewarded in such a way that it is in their best interest to become a part of the data society.

Let’s say that our society is hypothetically a repository on Github, the different types of people involved are:
— the ones who come up with the concept
— the ones who write the code
— the ones who give feedback by opening an issue in the repository to address issues
— the ones who give feedback by opening an issue in the repository to express their needs
— the contributors who interact with the issue-issuers, to translate it into a concept which can be developed

Each have their own reasons for interacting with the repository:
— they want to establish a credible historical timeline to present to a potential, future employer
— they are driven by their desire to develop their competent skill (mastery)
— they are driven by what the repository has to offer and are willing to contribute to the ideas
— they have encountered an issue and want to address this
— they give feedback from a user-perspective in regards to new concepts that aid the repository

While Github repositories are a great step in the right direction, there is no unifying data society or general purpose beyond the one which the “repository society” wishes to address. User interests are on the micro scale and the rewards are limited to the small society of people involved.
While Github in itself is a great place to focus precisely on those things, a general data society manages to bring competent people together to the full extent of the existing society.
Many developers are people who are very competent in translating issues, data, concepts and opportunities into a separate entity of competence, which is entirely autonomous.

Refortuna wishes to build this data society and its economy and to incentivise all parties involved. Some ‘concepts of analysis’ can be part of a bigger concept. This can range from poverty issues to medical challenges — the possibilities are endless.

The power of data should not be underestimated and it is of the upmost importance to leverage analyses for the sake of keeping up with the increasingly complex nature of our society.

A data society leads to a benevolent hive-mind contributing to the greater good of all by being rewarded for what it is they have to offer.
It opens the door for every person to perceive and make clear to others through reasoned discourse the difference between what is advantageous and what is harmful, between what is just and what is unjust, and between what is good and what is evil.


Leverage data. Fortify your assets.

Benjamin Van Renterghem

Written by

Data analyst at Refortuna — As motivations and future prospects are solidified old publications might not be in line with current perspective



Leverage data. Fortify your assets.

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