Categorie:
Big Data Software /
Ferramentas de Business Intelligence (BI) /
Software de gerenciamento de desempenho comercial /
Software do painel /
Software de descoberta de dados /
Looker Reveja
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Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databasesto get real results, in real time.
Some limitations in reporting data views (e.g. Histograms) and doesn't have wide range of options for exporting to other reporting packages
Very easy to navigate, add filters, make reports depending on size. Very easy to visually understand information from reports. Easy to download if needed as well.
Can get confusing when you have to build a multi-layered report, not user-friendly for a first time user.
I dislike for how long it takes given that it never ever truly caches the information. I need to truly make certain the questions I compose or the concerns I ask are really restricted as an outcome.
Visualizations seem a little immature for the product but hopefully with the newer version, we can download js visualizations on our cloud instance
Visualization and email features are not as advance as the competition.
Looker allows data to be accessible by team members who do not have technical skills like SQL or Python. It's user interface is easy to use; quickly and easily one can have impressive visualizations encompassing complex data sets. Looker is a powerful tool, useful for adding data visualizations to reports, making data-driven business decisions, and any other task requiring you to analyze data. Looker has also put out a great series of instructional videos which are helpful in learning how to use the program optimally.
The initial setup and development of Looker requires time, attention, and work. The software is a great user interface to access data, but configuring the program to access your data requires a lot of programming, troubleshooting, and general work from the data science team. The utility of the program is definitely worth the work, but you should not expect to begin using the program as soon as you get it--it requires some setup.
Looker offers data reporting tools and options, and it doesn't require deep SQL knowledge. It has a clean and well-organized user interface and helps you create reports and dashboard with only a click of a button. It is very easy to use and you don't have to have any experience with data extrapolation or reporting.
The pricing is somewhat high, but if you are a larger company it might be worth the money.
I don't have anything negative to say about the system itself. The only challenge I have is with how often the password needs to be reset.
Looker is extremely intuitive and accessible for end users. This has made training and driving adoption across the company a breeze. It has really opened up our data to a huge number of non-technical users. Their customer support is also excellent.
As part of our evaluation we trialed several other providers that I think would have provided about 80% of the value at a dramatically lower cost. For our organization it made sense to go with the best in class, but for a more cost-constrained organization there might be better options out there.
Difficult to edit model once in place. Data visualization and dashboard features are not strong. Lacking global filtering and templated dashboards. Setting up interim data caching to prevent load on core database is difficult.
- Although LookML (it's scripting language) is similar to SQL, I hope it was SQL or at least it does a better job with training LookML to its users.
You can see different information, the update is quick and you can get a lot of different reports with all the information that you need
A little difficult to get around the program , I am used to to the reports that I have a the moment but I still need some help to create a new one
Loading dashboards can be very slow
- Not as flexible sometimes when creating your visualization - Limited visualizations comparing Tableau
Once set up, Looker makes it super simple for business users to manipulate and analyze data. It creates all the joins int he background and allows a drag and drop interface.
Visualizations are not very dynamic. It is difficult to change the order in which chart series appear, for example. It's also difficult to always get the chart to look exactly how you want it.
You do need a good BI person or ETL developer to really get the most out of this tool. Setting up your data model really well and going to the outer limits to solve some particularly difficult queries are all things I would have had a hard time doing without technical resources on the team. Of course it's possible Looker helps with a lot of this during implementation; we pretty much controlled our own because we had the folks in house to do it.
There's not much I don't like about Looker. There is a little bit of learning curve when starting off but other than there's nothing to not like.
Customer Service, Ease of Use
Características
Very curious to see if google is going to sunset the product with its acquisition. Have to very technical to use.
- Although LookML (it's scripting language) is similar to SQL, I hope it was SQL or at least it does a better job with training LookML to its users.
The Look-Dashboard-Space system and managing content can become burdensome as use of Looker scales. Not being able to cross-reference a Look across Spaces results in duplicative Looks.
It does get a bit overwhelming at times to see just how much insight you can get into your business. Just stay the course,
Things I like about this product:
We really don't care about visualizations, but that can use some improvement to those who care.
We have been satisfied since day 1!
Its hard to organize the data and keep a company of 60+ on the same page. For example, if I create a column for "total" it's hard to share with a new employee what that means and when they should use it without executing one on one training. Additionally, there are so many features it's hard to know the best circumstance for each.
- Limited visualisation options in Looker 4, but this should be improving soon
Documentation could be better on certain functions such as html or liquid variables because not all users are proficient in html.
Time to render
- The division of Dashboards and looks in each user space is a bit rigid. Folders could help to organise it better.
It could have better slack integration so we could get daily reports not just sent over email but also through a native slack app.
Ease of use, monetary value and ability to prototype and show data quickly. Their CS team (our account exec and technical support rep are amazing) and support are the best vendors I've ever worked with.
Performance issues, it's a new product so some standard features it's missing - around mapping separate projects together, some access/security features, and lack of self-service model layer.
It definitely has a bit of a learning curve. I still struggle with creating some reports but as someone who is not data-centric I've learned how to use it pretty well
The visualisation features have come a long way over the years but sometimes it is still hard to customise visualisations.
The cost for this product is quite high compared to other BI tools. Also, this product requires a full time data engineer to keep the backend of the product to build new data models.
Easy to use when learned. Data is accessible and easy to compare. Analysis is easy using Dashboards and it is very easy to customize it.
Sometimes data from different Explores regarding the same topic gives different information. It is difficult to learn at the beginning, but it gets easier with time.
It requires an admin to make it usable for a wider audience. It is not out of the box accessible for someone who isn't familiar with the data setup
Looker allows you to work with virtually any data warehouse, and setup is not difficult. LookML is easy to work with, and allows non-developers to create content for their teams. Embedding Looker in our web app was relatively painless, and is a big improvement over our prior reporting system. Sharing content is super easy with scheduled reporting, and the variety of formats gives us solutions for different types of users.
I would like to see more visualization options, and enhanced capabilities with scheduling.
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.
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.
There's only so much utility I can get out of the tool without knowing how to create database queries. I'd love to be able to manipulate data in Looker without knowing any query languages so I could take advantage of more of Looker's power.
I dislike how long it can take certain reports in Looker to load. This can at times slow down my workflow to getting critical data I need to make smart decisions in my daily work.
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.
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.
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.
I had to learn more technical information, the code, and how to work with development and live versions of the models.
Looker's customizable dashboards are the heart and soul of the platform, and the most valuable part in my opinion. I can (and do) create dashboards for almost everything, from customer engagement, to content performance, and even technical metrics of a web application. This freedom to track and visualize almost any data source within a business is just incredible, and well worth the steep learning curve.
Looker can feel clunky. This is not just because you need to know SQL to really use it well, but because the UI is slow, on occasion. Granted, if your data warehouse is slow/enormous, Looker can only do so much. But even for regular data analytics tasks, it can be sluggish.
This is our go to software in our company. It's the place where we communicate our reports and metrics to others. Easily used by everyone from programmer to a manager. It has layers of types of users so everyone knows their place around.
As an admin user of this software i sometimes find it that there is a lack of aggregating options when i query for certain through Looker. But all in all it's a masterpiece in your browser.
- Flexibility - With effective use of Looker's Permission and User Attribute features I can be sure that when a certain user (lets say, a sales agent) logs in and views a dashboard they will automatically see information relating to sales accounts that they directly manage or not any irrelevant information.
- Getting users to go beyond simply making tables with many observations and instead visualising summary information creatively with charts and graphs.
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.
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.
Looker has been a game changer for us. It connects easily to our database and allows internal users to dig into our data and optimize media campaigns without having to write SQL code. The dashboards are easy to create and customize, and the fact that it can be embedded into a website allows us to share with clients without having to mess around with permissions.
Not exactly a con, but we tend to join most of our tables and clean our data in snowflake rather than Looker, so I can't speak to the advanced develop/derived table features.
Still not very good yet for a multi-tenant embedded environment. Needs a lot of work to set up and the API is slow.
Cloud native. Scalable. Data modeling capability.
Some capabilities are not able to be administered by users - sequential derived table creation, and some other aspects of data persistence.
* 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.
* 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
YAML like LookML
The visualizations need to catch up quite a bit so they look more professional grade a-la nytimes style story telling viz. Can accomplish more sophisticated things using API for sankey or other visualizations but these need additional work. Ability to run cross DB queries in case of multiple warehouses / data marts.
It's features of sending to s3 buckets and performing SQL's right from the tool itself (SQL Runner)
I guess they can add more visualizations to tool
Ability to save data 'looks' to personalized dashboard to build specific groups of data.
complex nature of adding calculations with data within the platform than in the data warehouse.
The charts, tables and graphs look very beautiful. It takes a full time data analyst to get looker up and running. The results look great and can be published online where execs can use to drill down.
Looker is not a drag and drop type of BI Tool. You’ll need a full time data analyst to use SQL to pull everything together, build tables first. Once that’s there, they can then send to people to put together tables.
- The actual visualisations are not as attractive as some of their competitors
I wish it had a mobile version instead of going onto a browser.
I like how you can create visualizations right in the tool and create charts without needing to code or write queries. This makes it easy for less technical users
It can be a little time consuming to pull multiple rows of data as it only lets you pull in 500 rows at a time and can be slow when you must select line-by-line what you'd like to see.
Visual. Data pulled from SQL queries are made meaningful by placing them in colorful, and easy-to-read graphs.
Navigation. The Explore view, where data is incorporated into a graph, can sometimes look busy depending on the amount of columns being used, and if the filters, graph, and data sections are pulled open.
Because it's such a comprehensive product, it's quite daunting at first glance. We've had trouble with some of our less technical team members taking the 'I don't understand Looker' stance before giving it a proper go.
Works well for those that aren't quite experts in excel and prefer a different method of visualization. Support/Updates are solid. I always like to parrot "invest in the team," and that's what you're doing with Looker. It seems they listen to their customers & feedback and take action on that information to improve the experience.
Sometimes a power-user who multi-tasks w/ a larger dashboard (myself, ha) can find it takes longer to load. It's not a huge deal, and maybe our computers need an upgrade (when don't they), but it's something to mention. There aren't any huge drawbacks to this program I can really think of.
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.
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.
I've had a steep learning curve with this tool. There's not a lot of formal training opportunities or help documentation.
the learning curve is a bit high for anyone that is *not* a data analyst or intimately familiar with pivot tables, etc
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]!
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.
They are always improving the product and taking my requests seriously. I have been using it for 2 years, and all of my requests have been met.
Sometimes the requests take time, and with all the software updates, sometimes the documentation is a little lacking, but support is always there to help.
drag and drop query creation
can get a bit confusing and confining with more complex queries/analysis
It takes time at first if you are building out your BI model completely from scratch or transit from other tool, but the reward is huge and there are a lot of Looker people helping you in the way.
Looker helps me put actionable data in front of various teams within my company, regardless of how tech savvy they are. I love being able to schedule reports and alerts so I can spend more time working on higher value items. Looker's support is exceptional, from the top down to the chat team, they are responsive and helpful, and just nice people to boot.
LookML does take a bit of time to learn, but it's definitely worth it. Visualization is good, but not yet great.
If you decide to purchase the non-customized version, the color palette Looker uses is rather bland (More noticeable to executives and heavy users-most users will be fine with it though). The company's integrations are rather limited, but supposed to improve with Looker 5 (via the Action Hub). However, it seems that most integrations will require purchasing from third parties, instead of being a Looker hosted and "controlled" solution you purchase through them. That complicates the process.
I do run into query performance issues when there are multiple users querying at once. There is also a pretty large initial investment when setting up the implementation.
Looker can do a lot! It has tons of features and you can really go in depth if you'd like. You can connect it with many integrators, or just use it as is. Regardless of what you do, it will be able to accomplish what you set out to do.
It is very difficult to set up, especially without an overly technical background. There is a lot of thought that must go into laying everything out.
Data mondeling functionalities inside & all visualisations are code based
Expensive for a start up company
Even if the team is moving fast and offering more and more features, they still lack on some of them. Mainly on dashboards.
Looker are still very heavily US based. They have just started an EU office, but support is still largely limited to US West Coast hours (although they seem to wake up at stupid o'clock to deal with some of our issues and plan to have support in the EU soon).