Transformer des données brutes en informations exploitables grâce à la visualisation des données

Transformer des données brutes en informations exploitables grâce à la visualisation des données



La visualisation des données est une fonctionnalité clé de l'analyse, qui transforme les données brutes en informations exploitables et permet aux entreprises de repérer facilement les tendances, les modèles et les anomalies. Ces informations présentées sous forme de rapports et de graphiques permettent de mieux comprendre les ensembles de données, même les plus complexes.C'est un excellent moyen pour les employés ou les propriétaires d'entreprise de présenter des données à des publics non techniques sans risque de confusion.
 
Voici les principaux avantages de la visualisation des données :
  • Révéler des modèles et des tendances
  • Faciliter la prise de décision
  • Suivre en temps réel
  • Gerer les risques
  • Effectuer des analyses prédictives
  • Améliorer la rétention et l'engagement
  • Augmenter la productivité
Les données sont un langage universel, mais la façon dont elles sont interprétées détermine l'objectif à travers lequel elles sont vues. Les choix que vous faites en matière de visualisation des données ne sont qu'esthétiques mais également essentiels pour façonner le message que vous souhaitez faire passer.
 
Voici quelques bonnes pratiques de visualisation des données qui, selon nous, vous aideront à transformer vos données en informations exploitables par tous :
  • Connaître son public
  • Traiter des formats de données divers
  • Intégrer l'interactivité
  • Respecter les principes de l'entreprise 

Connaître son public

Pour que les visualisations de données soient performantes, il est important qu'elles trouvent un écho émotionnel et intellectuel auprès du public cible. Il est donc essentiel de comprendre votre public. Cela permet également de déterminer les préférences de votre public concernant l'accessibilité, comme la taille du texte, la couleur, les préférences linguistiques, etc.
Les rôles professionnels des utilisateurs, ainsi que leurs besoins et défis spécifiques, déterminent la fiabilité et la profondeur des informations qui les concernent. Les plateformes modernes de BI permettent cela grâce à des analyses collaboratives qui fournissent des informations actualisées et spécifiques à l'utilisateur.
Les plateformes de BI offrent également des options d'accessibilité, telles que des couleurs et des modèles très contrastés, afin de répondre aux besoins spécifiques du public.



Traiter des formats de données divers

Les entreprises regroupent des données de sources diverses. Heureusement, les plateformes de BI sont équipées pour gérer une multitude de formats de données, ce qui permet aux entreprises d'extraire des informations de ces diverses sources. Grâce à la prise en charge des données textuelles, géographiques et chronologiques, entre autres, ces plateformes offrent un large éventail de types de graphiques et d'options de visualisation, afin d'exploiter les données dans tous les formats et de mettre en évidence les différentes aspects des informations.
Dans la capture d'écran ci-dessous, nous avons exploré un graphique de type « sankey ». Cette visualisation représente efficacement les flux de données, ce qui permet d'identifier les goulets d'étranglement et d'optimiser les flux de travail. Elle montre la séquence des actions les plus courantes effectuées lors des visites du site web d'une entreprise donnée.
 

Intégrer l'interactivité

Les possibilités d'interaction dans la visualisation des données permettent aux utilisateurs de découvrir d'autres informations en temps réel, ce qui facilite l'analyse ad hoc. Des fonctionnalités telles que l'exploration, le filtrage et la classification permettent d'améliorer l'expérience de l'utilisateur et de gagner du temps lors de la création de nouveaux rapports. Les visualisations interactives impliquent également les utilisateurs et leur permettent d'explorer les données selon leurs propres termes, ce qui conduit à une compréhension plus profonde des informations présentées.


Respecter les principes de l'entreprise

Toutes les entreprises suivent des principes pour les aspects esthétiques et fonctionnels de la visualisation des données. Il s'agit notamment d'adhérer aux principes de l'image de marque pour assurer la cohérence visuelle et de mettre en œuvre des politiques de gouvernance des données pour réglementer l'utilisation des données.


L'IA dans la visualisation des données

Le rôle croissant de l'IA dans l'analyse modifie fondamentalement la façon dont les entreprises abordent la visualisation des données. La création de rapports, par exemple, est désormais possible à l'aide d'invites en langage naturel, ce qui démocratise la fonctionnalité pour tous les utilisateurs de BI. La plateforme identifie également de manière intelligente le type de graphique le mieux adapté pour présenter un aperçu particulier.
Dans la vidéo ci-dessous, nous explorons Ask Zia, l'assistant intelligent de Zoho Analytics, qui vous permet de générer des rapports et d'interagir avec vos données en utilisant le langage naturel.


Exploiter la puissance de la visualisation des données

Une visualisation efficace des données est essentielle pour que les entreprises puissent tirer des informations exploitables des données brutes. La visualisation des données s'oriente vers une intégration avancée de l'IA, des fonctions interactives et des visualisations dynamiques, permettant aux organisations d'extraire des informations précieuses et de stimuler la croissance de l'entreprise.
 

Avez-vous d'autre bonnes pratiques que vous suivez dans votre organisation ? N'hésitez pas à nous en faire part dans les commentaires ci-dessous.
 
L'équipe Zoho France

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