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      Wiker, feeding their database from web data

      Context

      Wiker is the first local network to connect all the actors of medium-sized or rural towns via their economic, cultural or social information in order to promote local life, its economy and its short circuits and support the sustainable development of town centers and territories.

      To do this, Wiker collects relevant information from the territories from numerous internet sources (sites and open data) - some of which are accessible by API - and aggregates it into a single service. But this collection phase is time consuming and a source of errors. For example, each employee spends an average of half an hour a day checking the websites monitored, retrieving interesting information and labeling them ("event", "article" for example). The multiplicity of employees can lead to variations in labeling.

      Examples of source pages

      Wiker, alimentation de leur BDD à partir de données web

      Contexte

      Comment labelliser des documents de types variés et déterminer leur exploitabilité ?

      Wiker est le premier réseau local à connecter l’ensemble des acteurs des villes moyennes ou rurales via leurs informations afin de promouvoir la vie locale, son économie et ses circuits courts et soutenir le développement durable des centres-villes et des territoires.

      Pour ce faire, Wiker collecte les informations pertinentes des territoires issues de nombreuses sources internet (sites et open data) - dont certaines accessibles par API - et les agrège en un service unique. 

      Exemple de pages sources

      Exemple de pages sources

      Scénario utilisé

      Worker de scraping et connecteurs API

      Récupére les informations sur les sites web concernés 

      WorkerETL

      Nettoie et met en forme les données

      Worker Prédiction

      Labellise les enregistrements

      Worker

      Ajoute les codes INSEE aux communes

      Worker

      Enregistre dans la base de données

      SmartMyData - Example of final results with labeling and INSEE codes

      Return on investment

      Automatisation de la collecte d'informations sur une grande variété de sources

      Labellisation automatique des enregistrements via un module de Machine Learning

      Diminution des risques et des erreurs liés à l’intervention humaine

      Réaffectation des collaborateurs à des tâches plus enrichissantes

      Parlons ensemble de votre projet !

      Nous contacter

      Scénario utilisé

      1

      Worker de scraping et connecteurs API

      Récupére les informations sur les sites web concernés

      2

      Worker
      ETL

      Cleanses and formats data

      3

      Prediction Worker

      Label the recordings

      4

      Worker
      INSEE

      Add the INSEE codes to the municipalities

      5

      Worker
      Database

      Save to database

      SmartMyData - Example of final results with labeling and INSEE codes

      (Screenshot from a Wiker table)

      Let's talk about your project together! Let's talk about your project together!

      Automate the collection of information from a wide variety of sources

      Automatic labeling of records via a Machine Learning module

      A reassignment of employees to more rewarding tasks.

      A reduction in the risks associated with human intervention.

      Let's talk about your project together!

      Contact us

      SmartMyData's IPA (Intelligent Process Automation) platform enables the rapid creation of high value-added automation scenarios.

      CONTACT US

      1 Rue du Guesclin, 44000 Nantes

      [email protected]

      02 85 52 80 11

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      SmartMyData's IPA (Intelligent Process Automation) platform enables the rapid creation of high value-added automation scenarios.