Pour qui ?

Looker créer un lien entre les données et les équipes commerciales, en simplifiant la tâche de tous ceux dont la mission est d'explorer et de comprendre les données qui permettent aux entreprises de croître.

Notes moyennes

124 avis
  • Note globale 4.6/5
  • Facilité d'utilisation 4.2/5
  • Service client 4.7/5
  • Fonctionnalités 4.4/5
  • Rapport qualité-prix 4.3/5

Informations sur le produit

  • Version gratuite Non
  • Essai gratuit Oui, obtenez un essai gratuit
  • Déploiement Cloud, SaaS, web
  • Formation Formation présentielle
    Formation en ligne en direct
    Webinaires
    Documentation
  • Ressources d'aide Support en horaire de bureau
    En ligne

Informations sur l'éditeur

  • Looker Data Sciences
  • http://www.looker.com/
  • Fondé en 2012

En savoir plus sur Looker

Solution d'exploration et d'analytique des données, combinant modélisation, transformations et dérivations au même niveau.

Looker - Fonctionnalités

  • Analyse en continu
  • Analyse en libre-service
  • Benchmarking
  • Collaboration entre plusieurs utilisateurs
  • Développement d'applications
  • Gestion visuelle du workflow
  • Rapports interactifs
  • Reporting mobile
  • Requête ad hoc
  • Tableau de bord
  • Analyse comparative et qualitative
  • Analyse de texte
  • Analyse des médias
  • Analyse des recherches utilisateurs
  • Analyse des sentiments
  • Analyse quantitative du contenu
  • Analyse statistique
  • Annotations
  • Collaboration
  • Prise en charge de plusieurs langues
  • Recherche multiméthode
  • Visualisation de données
  • Analyse prédictive
  • Attribution de canal
  • Cartographie du parcours client
  • Mesure des performances
  • Statistiques sur les médias sociaux
  • Suivi des campagnes
  • Suivi du RIO
  • Tableau de bord
  • Tests A/B
  • Web analytics
  • Analyse des sentiments
  • Benchmarking
  • Exploration de données (data mining)
  • Fonctions pour l'enseignement
  • Fonctions pour secteur médical
  • Fusion de données
  • Intelligence artificielle et machine learning
  • Modélisation et simulation
  • Prévision de la demande
  • Analyse prédictive
  • Attribution entre canaux
  • Attribution multi touch
  • Cartographie du parcours client
  • Modélisation de l'attribution
  • Segmentation du public
  • Suivi des conversions
  • Suivi du RIO
  • Analyse de la rentabilité
  • Analyse prédictive
  • Analyse visuelle
  • Benchmarking
  • Fiches d'évaluation (scorecards)
  • Indicateurs clés de performance
  • Indicateurs de tendances et de problèmes
  • Mesure des performances
  • Planification stratégique
  • Publication et partage
  • Rapports ad hoc
  • Tableau de bord
  • Analyse ad hoc
  • Analyse prédictive
  • Analyse qualitative
  • Analyse quantitative
  • Budgétisation et prévision
  • Consolidation et regroupement
  • Fiches d'évaluation (scorecards)
  • Indicateurs clés de performance
  • Planification stratégique
  • Rapports ad hoc
  • Tableau de bord
  • Analyse visuelle
  • Classification des données
  • Couplage des données
  • Identification des données sensibles
  • Préparation des données en libre-service
  • Recherche contextuelle
  • Réduction des faux positifs
  • Analyse de régression
  • Analyse de survie
  • Analyse multivariée
  • Découverte d'associations
  • Prévision
  • SPC (statistical process control)
  • Simulation statistique
  • Stockage de fichiers
  • Suivi de la conformité
  • Série temporelle
  • Fiches d'évaluation (scorecards)
  • Fonctions/calculs
  • Intégrations de sources de données
  • Suivi des indicateurs clés de performance
  • Tableaux de bord privés
  • Tableaux de bord publics
  • Visualisation de données
  • Widgets
  • Gestion de plusieurs sites
  • Gestion des campagnes
  • Suivi des conversions
  • Suivi des interactions entre utilisateurs
  • Suivi des mots-clés
  • Suivi des objectifs
  • Suivi des pages consultées
  • Suivi des recherches de sites
  • Suivi des sources de référence
  • Suivi du temps passé sur le site
  • Analyse prédictive
  • Collaboration
  • Entreposage de données
  • Exploration de données (data mining)
  • Fusions de données
  • Modèles
  • Nettoyage de données
  • Sandbox sans code
  • Traitement des gros volumes
  • Visualisation de données
  • Affichage relationnel
  • Analytics/Reporting
  • Découverte en images
  • Gestion de contenu
  • Modèles de simulation
  • Tableaux de bord personnalisés
  • Traitement analytique en ligne
  • Vues filtrées
  • Analyse d'éléments
  • Cartes dynamiques
  • Cartes intégrables
  • Cartographie des comportements
  • Cartographie territoriale
  • Fonctions pour secteur scientifique
  • Fonctions pour ventes
  • Mappage radial
  • Tableau de bord
  • Web analytics
  • Connecteurs de source de données
  • Exploration des rapports
  • Exportation de rapports
  • Fonction de glisser-déposer
  • Prévision
  • Rapports de marketing
  • Rapports de ventes
  • Rapports financiers
  • Rapports planifiés et automatisés
  • Tableau de bord personnalisable
  • Traitement analytique en ligne

Avis les plus utiles sur Looker

Looker allows everyone in your company, even the less tech-savvy, to make data-driven decisions.

Publié le 13/12/2017
Teena B.
Implementation Specialist / Customer Success
Temps d'utilisation du produit: plus de deux ans
Provenance de l'utilisateur 
5/5
Note globale
4/5
Facilité d'utilisation
5/5
Fonctionnalités
5/5
Support client
5/5
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Commentaires: We get to force-multiply our impact by making it easy for users in all departments to make data-driven decisions and help allow that to drive their day-to-day.

Avantages: I love the customization of Looker, and that you can put large amounts of data into the hands of anyone -- in a way that makes sense [to them]!
While their product is great, it speaks volumes to the team. It's an amazing group of people that continue to receive feedback from their customers and iterate time and time again on their product. They truly care about data and their customers, and they want to empower them the best they can.

Inconvénients: When modeling views, I wish you could define better filters for measures but it's limited. There are workarounds, meaning modeling out several additional dimensions to arrive at the measure you need to pull regularly, but it'd be much more efficient to allow for measures to be more nuanced. Large dashboards (with 25+ tiles) can take awhile to load, which is understandable. Once their "merge results" feature is fully rolled out and we're able to save them as new tiles or looks, it should help resolve the need for so many tiles. Neither of these two things are a big deal, and I wouldn't let this deter you from considering this software.

Data Models, Security, and Amazing Customer Support

Publié le 14/06/2019
Catherine S.
Senior Business Intelligence Analyst
Services et technologies de l'information, 501-1 000 employés
Temps d'utilisation du produit: 6 à 12 mois
Provenance de l'utilisateur 
5/5
Note globale
5/5
Facilité d'utilisation
5/5
Fonctionnalités
5/5
Support client
5/5
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Commentaires: Looker is quickly becoming our go-to for reporting and dashboarding for anything requiring more than one data source (and some that are based on just one). Paired with a kick-ass centralized data warehouse (we use Snowflake), Looker lets us roll things out very quickly (provided our data infrastructure is in good shape). It did take a while to get going with Looker because it lays on top of the existing data infrastructure. Now that we have quite a bit of strong infrastructure in place in our centralized data warehouse, we are able to produce data products in Looker quite quickly.

Avantages: Provisioning security allows us to control the user experience (and only show users things they would actually care about). This makes a dashboard or data product rollout far smoother. Additionally, the customer support (especially through the chat interface) is absolutely fantastic. Because Looker creates a custom URL for each explore you're working on, you can share with Customer Support your exact problem and work together to find a solution.

Inconvénients: Looker Sales told us beforehand that it "writes the most performant SQL possible." I have not found this to be the case, as it often casts and does a few other things (I suspect to make it runnable no matter how you've set up your data). There are some limitations on the visualizations, etc., but Looker Customer Service has been super responsive when those come up.

Provides valuable insights for all users (Technical and End Users)

Publié le 14/06/2019
Utilisateur vérifié
CS Analyst - Weebly Operations
Internet, 1 001-5 000 employés
Temps d'utilisation du produit: plus de deux ans
Provenance de l'utilisateur 
5/5
Note globale
4/5
Facilité d'utilisation
5/5
Fonctionnalités
4/5
Support client
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Commentaires: This software has truly put our leadership team above the benchmark with data efficiencies and making informed data driven decisions.

Avantages: Looker is incredibly easy to use, and it easily scales with your technical abilities. As an Analyst, I can create very easy to use self serve reports for stakeholders. This saves time and effort for both parties. Looker also has a very intuitive way of organizing data and letting you quickly visualize data in your warehouse. It is reliable and the data visualization options are abundant. Our leadership team is miles ahead of others I've seen because of how quickly they were able to learn how to use Looker.

Inconvénients: I don't necessarily see this as a con, however I think there is a big opportunity to help guide some new users through some of the more technical setup of Looker. I relied on a mentor to help take me through LookML and Models/Explores, but I would have loved to have some in product help with this.

A great tool for exploring data

Publié le 21/09/2019
Utilisateur vérifié
Business Analyst
Internet, 1 001-5 000 employés
Temps d'utilisation du produit: 6 à 12 mois
Provenance de l'utilisateur 
5/5
Note globale
5/5
Facilité d'utilisation
5/5
Fonctionnalités
5/5
Support client
5/5
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Commentaires: I user Looker every day​ to create dashboards that I share within the company. At the same time I use Looker to analyze​ data on ad hoc requests

Avantages: It's really easy to create dashboards and reports. Even though we need to code some things it allows to be really flexible in the way you create and display data.

Inconvénients: I had to learn more technical information, the code, and how to work with development and live versions of the models.

Controlled Analytics Exploration

Publié le 17/05/2018
Vincent W.
Sr Planning Analyst
Temps d'utilisation du produit: plus d'un an
Provenance de l'utilisateur 
3/5
Note globale
3/5
Facilité d'utilisation
2/5
Fonctionnalités
4/5
Support client
4/5
Rapport qualité-prix
Probabilité de recommander le produit :
Très faible Très élevée

Commentaires: Like I said, it's a great tool for analysts that don't need a lot of flexibility or maybe just aren't used to working with a lot of data. To get the full value out of this software, you'll need a core group of experienced Data Analysts that can learn fast (to learn Lookers Table Calculation code which is similar to SQL) who can build a bunch of dashboards and views. You really don't want people who aren't savvy with data doing a lot of the creating because measures are always aggregated based on the dimensions you pull into each table...if a user forgets to add a specific dimension then measures could show the wrong value. This could be offset by having really good developers who architect the data in a way that doesn't allow this to happen.

Avantages: It's a great data exploration tool for users who normally would get anxious when given a large dataset in something like Excel. It's generally simple to use and there can be unlimited Viewers (users at the lowest permissions level) through the enterprise product. Data Visualization is essentially done for you and Exploers (users at the second level of permissions) can build new visualizations & turn them into interactive dashboards. On the Looker platform, Explorers can locate a view (called an Explore) and then are given a list of dimensions and measures they can pull into a table. Users can create new dimensions using calculated fields and then save their views so any users with Viewer permissions (and up) can see what was put together.

Inconvénients: With simplicity comes lack of flexibility. More skilled data analysts will want more flexibility than Looker can provide but at the same time you need to have highly skilled Data Analysts to be the Developers (high level of permissions) to set up the data so that less skilled analysts (the users who benefit from Looker most) who are Explorers don't build views that grossly misrepresent the data. My biggest pet peeve with this software as an Explorer is that you cannot make calculations on the base data...only the data that you pull into your table (called table calculations). That is a major feature that Tableau has that Looker does not have at the Explorer permission level. Of course developers can use LookML (Lookers data language) to create a new column...but a Developer license is more expensive and creating the fields take time and it's something you constantly will need.

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