Looker - Présentation
Description du logiciel Looker
L'approche intuitive de l'exploration des données de Looker rend la diffusion d'une culture axée sur la curiosité à la fois efficace et efficiente. Une interface web intuitive permet aux utilisateurs d'exploiter le génie de leurs équipes d'analyse de données. Ils ont la possibilité de créer et de partager des rapports à la volée, afin que d'autres groupes fonctionnels puissent bénéficier des questions qu'ils posent et des connaissances qu'ils ont créées. Et puisque toute l'expérience de Looker donne des résultats aussi satisfaisants, ils commencent à se tourner vers les données pour guider leurs décisions et stimuler leurs activités.
Au cœur de la recherche de données (data discovery) de Looker, il existe une nouvelle façon de créer ces expériences web. En utilisant un langage flexible et facile à apprendre appelé LookML, vos analystes de données ont la possibilité de créer des mini-applications qui ajoutent de la puissance et de l'efficacité à l'exploration de données. La syntaxe LookML simplifie le développement de modèles solides pour toute entreprise, tout en améliorant les capacités du SQL. Il n'est pas nécessaire de consacrer du temps et des ressources au codage des requêtes de façon ad hoc ou à la mise en place de plateformes logicielles de Business Intelligence (BI) complexes. Cette approche basée sur le langage permet une exécution plus rapide des requêtes, optimisant ainsi les performances.
Looker - Présentation
Prix
Looker - Fonctionnalités
Captures d'écran
Looker - Avis
Looker - Avis
Looker allows everyone in your company, even the less tech-savvy, to make data-driven...
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.
Data Models, Security, and Amazing Customer Support
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.
Provides valuable insights for all users (Technical and End Users)
This software has truly put our leadership team above the benchmark with data efficiencies and making informed data driven decisions.
Controlled Analytics Exploration
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.
A game changing data tool
Looker is a game changing tool insofar as it provides a 21st century approach to data tooling that massively amplifies how organisations can get access to, explore and power applications through data without making sacrifices from an accuracy perspective. Looker's company culture is fantastic and the focus on customer support really helps to extent the impact of the product itself.
Comparatif avec les logiciels similaires : note globale
Comparer avec les alternatives
Looker allows everyone in your company, even the less tech-savvy, to make data-driven decisions.
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
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)
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.
Controlled Analytics Exploration
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.
A game changing data tool
Looker is a game changing tool insofar as it provides a 21st century approach to data tooling that massively amplifies how organisations can get access to, explore and power applications through data without making sacrifices from an accuracy perspective. Looker's company culture is fantastic and the focus on customer support really helps to extent the impact of the product itself.
Avantages
* LookML because it enables a scalable semantic layer wherein business rules can be defined in a single place and logic is code based thereby enabling version control, testing and auditing.
* Extendability because the data platform focus enables businesses to serve data to applications and people through a single component
* Customer experience focus
Inconvénients
* It can be hard to navigate the huge volumes of content that users build on Looker and find the canonical/VIP products that are the foundation for any company
Comparatif avec les logiciels similaires : recommandation utilisateur
Comparer avec les alternatives
Looker - Prix
Looker - Prix
Comparatif avec les logiciels similaires : rapport qualité-prix
Comparer avec les alternatives
Looker - Fonctionnalités
Looker - Fonctionnalités
Comparatif avec les logiciels similaires : note sur les fonctionnalités
Comparer avec les alternatives
Catégories
Catégories
Vidéos et tutoriels
Vidéos et tutoriels
Looker - FAQ
Looker - FAQ
Voici quelques-unes des questions fréquentes sur Looker.
Q. Quels sont les types de licence disponibles pour Looker ?
Types de licences disponibles pour Looker :
Type de licence: Abonnement
Essai gratuit: Non disponible
Q. Quelles sont les principales fonctionnalités du logiciel Looker ?
Nous n'avons pas d'informations sur les fonctionnalités de Looker.
Q. Qui utilise Looker ?
Utilisateurs habituels du logiciel Looker :
Grandes entreprises, Entreprises de taille moyenne, À but non lucratif, PME
Q. Dans quelles langues Looker est-il disponible ?
Langues dans lesquelles Looker est disponible :
anglais
Q. Quels sont les types de licence disponibles pour Looker ?
Types de licences disponibles pour Looker:
Abonnement
Q. Looker prend-il en charge les appareils mobiles ?
Nous n'avons pas d'informations sur les appareils pris en charge par Looker.
Q. Avec quelles applications Looker peut-il s'intégrer ?
Applications s'intégrant à Looker :
Alooma, Dropbox, HipChat, Improvado, Kustomer, LoginRadius, Panoply, Workable, Workpuls, Xplenty
Q. Quelles sont les ressources d'aide disponibles pour Looker ?
Ressources d'aide disponibles pour Looker :
FAQ, Forum, Base de connaissances, Support en ligne, Tutoriels vidéo
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.