Sobre o Looker

Looker, now part of Google Cloud, is a cloud-based business intelligence (BI) platform designed to explore and analyze data. The solution helps businesses to capture and analyze data from multiple sources and make data-driven decisions. Looker provides business teams the ability to analyze supply chains, market digitally, quantify customer value, interpret customer behavior, and evaluate distribution processes. Users can also "view source" to understand how the data they are viewing is being manipulated. The dashboards allow presenting data and insights using customizable charts, graphs, and reports. All dashboards and queries can be drilled into, so users can discover information in multiple layers. With Looker's data modeling language, users can define data metrics and explore relationships between various data sets. The storytelling feature allows users to present data analysis to stakeholders through data-rich visualizations. Looker is used in many industry sectors across the US and Canada including e-commerce, construction, education, finance, healthcare, media, and technology.
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Preço do Looker

Looker não possui uma versão gratuita, mas oferece versão de teste grátis.

Preço inicial:
Sem informação do fornecedor
Versão gratuita:
Não
Versão de teste gratuita:
Sim

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Avaliações do Looker

Nota do recurso

Relação qualidade/preço
4,2
Funcionalidade
4,4
Praticidade
4,1
Suporte ao cliente
4,7
5 avaliações do 148 Ver todas as avaliações
Nicholas
  • Setor: Internet
  • Porte da empresa: 51-200 funcionários
  • Usado Diariamente durante Mais de um ano
  • Fonte da avaliação
Relação qualidade/preço
3
Recursos
4
Praticidade
5
Suporte ao cliente
5

5
Avaliado em 06/02/2020

The perfect solution for our stage business

I could not be happier with Looker. My one hesitation in recommending it is that other tools seemed to be able to provide 80% of the value at 20% of the cost, but I've only demoed those tools and not actually used them so I'm not sure if they could actually deliver.

Vantagens

Looker is incredibly easy to use for a casual user, which most of our users are. As soon as your email is activated, you have access to the product and new users need very little direction to start getting value out of it.

Desvantagens

Relative to other BI tools, the advanced charting functionality is somewhat limited, but frankly that's not the main reason we bought Looker. Data scientists can use another tool of their choice, we have Looker for people who aren't data scientists.

Alternativas consideradas

Chartio

Razões para escolher o Looker

Tableau is an antiquated architecture (permanent license desktop app) and was going to be prohibitively expensive to roll out to the whole company. Having used it, I also had concerns about adoption since there's more of a learning curve.

Software anterior

Tableau

Razões para mudar para o Looker

LookML gave Looker an advantage because it allowed us to pre-define a framework for our users to need. We didn't feel Chartio did this quite as well. Looker is also better funded and I felt more confident that they would continue to add features and fill in gaps in the product in the future.
Tara
  • Setor: Software
  • Porte da empresa: 51-200 funcionários
  • Usado Semanal durante Mais de um ano
  • Fonte da avaliação
Relação qualidade/preço
3
Recursos
3
Praticidade
3
Suporte ao cliente
4

4
Avaliado em 13/06/2019

Looker Review

Vantagens

Easy to create dashboards without engineers needing to write code.

Desvantagens

Still not very good yet for a multi-tenant embedded environment. Needs a lot of work to set up and the API is slow.

Vincent
  • Usado Semanal durante Mais de um ano
  • Fonte da avaliação
Relação qualidade/preço
4
Recursos
2
Praticidade
3
Suporte ao cliente
4

3
Avaliado em 17/05/2018

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.

Vantagens

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.

Desvantagens

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.

Tanya
  • Setor: Saúde, bem-estar e condicionamento físico
  • Porte da empresa: 11-50 funcionários
  • Usado Diariamente durante 6 a 12 meses
  • Fonte da avaliação
Relação qualidade/preço
4
Recursos
5
Praticidade
4
Suporte ao cliente
5

5
Avaliado em 21/05/2022

Easy to democratise the use for BI to all departments

Positive! You can define your logic of measuring and if you have a BI Team any discrepancies are easy to track. Depends on how good the connection with your data warehouse is but for example with Snowflake it worked seamlessly.

Vantagens

Departments can access data in a consumable form without complexity.
Some SQL skills help achieve a lot more with the software, you can write your own queries and get more drilled down data.

Desvantagens

Some visualisation options (like graphs & charts) were a bit more complex to achieve. Although, the default tables are simple and easy to understand.

Teena
  • Usado Diariamente durante Mais de dois anos
  • Fonte da avaliação
Relação qualidade/preço
5
Recursos
5
Praticidade
4
Suporte ao cliente
5

5
Avaliado em 13/12/2017

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.

Vantagens

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.

Desvantagens

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.

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