Without industrialization of information, CSR remains a wishful

The actual implementation of corporate social responsibility (CSR)))) has never been so topical.And difficult.A contradiction that technology helps to solve.It may even be the only way possible.

On April 24, 2013, the Rana Plaza building in Dacca collapsed in the capital of Bangladesh.More than a thousand people perish in the tragedy.In the hours that follow, we learn that this unhealthy building-and known as such-housed sordid workshops for large European ready-to-wear groups. Et des étiquettes de plusieurs marques de mode sont retrouvées dans les décombres (H&M, Mango, Benetton)))).The societal reputation of these ordering companies is committed.

Responsable aussi des fournisseurs de ses fournisseurs

Defense in the face of such a disaster perhaps saying that it was not aware, that it was the supplier of a supplier who made decisions contrary to human rights without informing anyone.

But today, pleading ignorance no longer passes.This is the company at the end of the value chain is responsible - in the strictest sense of corporate social responsibility - of the cascade of intermediate suppliers.

The sources of information have become too numerous to "do not know": press, TV reports, social networks, NGO reports (WWF, CANOPÉE VIVANTES, etc..)))), Legal reports, audits of specialized companies, gross data of companies specializing in business information (such as Ecovadis, Bureau Van Djik or Creditsafe)))), certification organization, databases (such as trace that scans the activity ofsea ports)))), etc..And the information goes fast.Not knowing, in the eyes of the public and political leaders is not to want to know.

Une information pléthorique qui pose un défi

But there is a contradiction.The globalized information of information should facilitate CSR by making it possible to better identify non -compliant suppliers (involved for example in deforestation to plant oil palm in Borneo)))) and illegal practices (slavery, children's work, etc..)))).

However, it is not the case.Too much information "kills" information.With the still very manual means of the CSR teams, companies have trouble achieving exhaustive watch to anticipate scandals and resolve them by making clear decisions before they have fun, like changing supplier on the spot for example.

Make an audit of supplier has not fundamentally changed.Except that the environment has become more complex.The quantity of information, their nature and the diversity of the channels to monitor and listen to exploded.

Tips on Howll Pecans Would Be Awesome

— Ditte Sun Dec 25 14:41:09 +0000 2011

At the same time, customers and citizens are more informed and sensitive than ever.According to a Yougov survey carried out in 2020, 40 % of French people have already boycotted two to three brands, especially for causes of animal mistreatment and pollution ... whose brands in question may not even be aware!

La RSE Big Data

En termes techniques, le problème peut se poser de la manière suivante : comment importer en continu (pour suivre le flot d’informations)))), des centaines de sources documentaires, aux formats divers (texte, PDF, vidéos, tweets, photos, commentaires, données structurées, pages web, etc.)))), pour les comprendre, en extraire des données exploitables, les synthétiser, les analyser et générer des alertes en fonction de règles précises (celles de la RSE)))) utilisables par les métiers ? Et cela pour chaque fournisseur.

A possible solution is found in the industrialization of the collection and analysis of CSR information.

Because the problem is clearly "big data".For example, we recently led a POC with a French distributor on the sole problem of soybeans and deforestation. Ce PoC, qui s’est appuyé sur seulement 138 documents, a généré 53 000 informations explicites et 20 000 supplémentaires inférées par « raisonnements » (soit +36 % d’informations)))), ce qui représente 73 000 informations à creuser.Another example, a base like Creditsafe can provide several hundred millions of lines on a single company.

To do this colossal work of mass documentary study, it would be necessary to mobilize whole departments.Far too expensive for businesses.But technologies at the crossroads of DAM, semantic understanding and analytics can help teams which, very often, are only composed of a few people.

Comment les technologies peuvent automatiser la RSE ?

A DAM - or Digital Asset Management - is a documentary base designed to store "digital assets" of all kinds.Widely used in communication, he can play a central role in CSR due to his ability to ingest all sources and all formats (video of a local channel, report in PDF format issued by WWF, text of a tweet, etc.))))

The characteristic of a dama is to tag the "assets" to classify and find the contents. Face à la montagne d’informations à traiter, une autre technologie – la compréhension sémantique – automatise la description détaillée des documents en fonction du vocabulaire d’un secteur d’activité (la sémantisation)))), grâce à l’Intelligence artificielle.

But for CSR, you should also know what is said exactly in these contents.Importing reports of several tens of pages from WWF or UNICEF is only of interest if they are read.A semantic engine can "pre -read" the document to select the passages to look more closely, depending on the challenges of a given company.

Time saving is considerable.A 50 -page document can be mapped in business language in less than two minutes.

Un « lanceur d’alertes « corporate »

Better still, these technologies are capable of making summary sheets which, themselves, are analyzed to note only anomalies.The profession then only has to read the "synthesis of syntheses".

La RSE passe alors d’une logique de gestion de flux (essayer de tout lire)))) à une logique de gestion d’exceptions.The thousands of data are reduced ... a few alerts to check per day.

Surhuman work of massive information processing, impossible to do, but which must still be rebuilt constantly, CSR becomes manageable by teams of reasonable size, thus supported by an "internal whistleblower".In a sense, it is no longer a question of wondering how technology can help a CSR policy, but if a CSR policy is possible today without technology?