Información general sobre Looker
¿Qué es Looker?
El enfoque intuitivo de Looker para la exploración de datos facilita la adopción de una cultura basada en la curiosidad. Su interfaz web intuitiva permite a los usuarios empresariales aprovechar al máximo su equipo de análisis de datos. Estos pueden crear y compartir informes sobre la marcha, por lo que otros departamentos podrán beneficiarse de las preguntas y conocimientos desarrollados. Dado que la experiencia Looker ofrece resultados muy satisfactorios, la solución fomenta la exploración de datos en la toma de decisiones y actividades empresariales.
La base del descubrimiento de datos de Looker es una nueva forma de crear experiencias basadas en web. Al usar un lenguaje flexible y fácil de aprender llamado LookML, tus analistas de datos pueden crear miniaplicaciones que añaden potencia y eficiencia a la exploración de datos. La sintaxis de LookML simplifica el desarrollo de modelos sólidos para cualquier organización al tiempo que mejora las capacidades de SQL. No es necesario dedicar tiempo y recursos programando consultas ad hoc o configurando complejas plataformas de software de inteligencia comercial (BI). Este enfoque basado en el lenguaje da como resultado una ejecución más rápida de las consultas y optimiza el rendimiento.
Información general sobre Looker
Precio
Opciones de precios
Funciones de Looker
Capturas de pantalla
Reseñas de Looker
Reseñas de Looker
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.
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Looker allows everyone in your company, even the less tech-savvy, to make data-driven decisions.
Puntos a favor
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.
Puntos en contra
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.
Puntos a favor
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.
Puntos en contra
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.
Puntos a favor
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.
Puntos en contra
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.
Puntos a favor
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.
Puntos en contra
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.
Puntos a favor
* 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
Puntos en contra
* 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
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Precios de Looker
Precios de Looker
Compara las alternativas según la relación calidad-precio
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Funciones de Looker
Funciones de Looker
Compara con las alternativas según la valoración de características
Compara las alternativas
Categorías
Categorías
Vídeos y tutoriales
Vídeos y tutoriales
Preguntas frecuentes sobre Looker
Preguntas frecuentes sobre Looker
He aquí algunas preguntas frecuentes sobre Looker.
P. ¿Qué tipo de planes de precios ofrece Looker?
Looker ofrece los siguientes planes de precios:
Modelo de precios: Suscripción
Prueba gratis: No disponible
P. ¿Cuáles son las características principales de Looker?
No tenemos información sobre las características de Looker
P. ¿Quiénes son los usuarios habituales de Looker?
Los clientes habituales de Looker son:
Empresas Grandes, Empresas medianas, Sin ánimo de lucro, Empresas pequeñas
P. ¿Qué idiomas admite Looker?
Looker admite los siguientes idiomas:
Inglés
P. ¿Qué tipo de planes de precios ofrece Looker?
Looker cuenta con los siguientes planes de precios:
Suscripción
P. ¿Looker es compatible con dispositivos móviles?
No tenemos información sobre los dispositivos compatibles con Looker
P. ¿Con qué otras aplicaciones se integra Looker?
Looker se integra con las siguientes aplicaciones:
Alooma, Dropbox, HipChat, Improvado, Kustomer, LoginRadius, Panoply, Workable, Workpuls, Xplenty
P. ¿Qué tipo de asistencia ofrece Looker?
Looker ofrece las siguientes opciones de asistencia:
Preguntas frecuentes, Foro, Base de conocimientos, Asistencia en línea, Tutoriales en vídeo
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.