Data for Good, Data for Improvement

Data for Good, Data for Improvement

Big data is everywhere. At least, this is what many of us like to believe. Yet, there is a sector where Big data is still playing hard to get: the social sphere. What can be done to catch up and fill the data gap ?


The economic and social value of data

The gap can be easily associated to the value given to data. In the corporate world, we capitalize on data and often solely focus on the economic aspect of its value. Consequently, we tend to jealously guard data and have forgotten that it also carries social value that can greatly benefit the rest of society.

In such case, it is critical to realize that when it comes to data’s economic and social value, one does not exclude the other. As a matter of fact, sharing data can create economic and social opportunities for both NGO’s and corporates, whether it be investments, data or service improvement, scientific discoveries, etc. Seizing those opportunities implies shifting from a competition to a cooperation mindset and developing a culture of data sharing.


Data for improvement

For a few years now, we have been hearing about “data for good” or “data philanthropy”. Those terms refer to corporates sharing data and making it available to non-governmental organizations or public services in order to serve social missions in fields like health, environment, education, or agriculture. The data, ranging from data mining to natural language processing is then used to make better, data-based decisions.

Back in 2012, a study showed that “only 42% of the healthcare organizations surveyed supported their decision-making process with Big Data Analytics”.

The objective of data for good is to collaborate and share knowledge for homogeneous improvement between sectors. Back in 2012, a study showed that “only 42% of the healthcare organizations surveyed supported their decision-making process with Big Data Analytics” [1]. This information highlights social sector’s financial and technical difficulties to access and process data.  Even though data might be a bit more available now, one thing is sure: access can be further improved if we want to solve social problems easier.

As a company active in Artificial Intelligence, Inoopa strives to keep data’s social value in mind and decided to dedicate itself to poverty, environment and circular economy. As part of a partnership with Circle Economy, we were able to collect data and determine a list of companies active in circular economy for a study by the King Baudouin Foundation. That study will improve the decision-making process in this particular field and benefit society at large.

Feel free to contact us if you also have a social project and think that we can help you with our AI experience.


[1] Ali Emrouznejad, Vincent Charles (2019). Big Data for the Greater Good. Springer International Publishing


Written by Maria Mayala