Google Cloud Avis et détails du produit

How you can easily make high quality professional reports for clients.

That the software does not often work right on Safari.

Creating professional reports for clients.

Very easy to use once setup, lot of functionality

Decent amount of onboarding.ramp up speed, need to learn nuances of platform and lookml

Data visualization across departments

I like the way you can create personalized reports and see performance metrics. I love Looker because everything is super organized and detail. It is my bible and first thing I open every day.

Could be more user friendly, especially when building reports.

I can build reports thar could be useful for all accounts, therefore Im saving a lot of time.

I like that it is easy to use, pretty intuitive, highly dynamic and a real asset.They have a lot of selection of visualizations and reporting types, filtering.

I think my biggest "dislikes" are the lack of options in visualizations. I think you can really edit through all the more common graph types, but the moment you want to try and add waterfalls or sankey, you are really limited. Having more visualizations being dynamic would offer a lot of better support for analysts.

A lot of problems that we use Looker for is really just understanding how our business is doing? Why are sales down or up? What do the trends look like? What are we projected to hit. Having a real 360 view of the business both present, past and future. And that's been the best benefit of looker, is we're able to manipulate data super easily, so show all that information and then some.

Looker allows my team to scale data governance and self serve analytics

Looker could do a little bit more with their dashboards. Their dashboard-next is a little clunky for our complexity. The original dashboards are good, but not as sleek.

Looker has allowed our company to become more data driven. There is content for all areas of the business. It helps us scale our single analytics resource and keeps him from becoming a report monkey.

Frequent feature updates allowing for more seamless development

Better visualizations would greatly improve the product. Additionally, being able to build visualizations on top of SQL Runner would greatly improve the tool especially for those that want a quick report on un-modeled data sets

Having dashboards and Looks that can be shared across the organization. The fact that code is checked into Github, from a compliance perspective, is huge.

I love the dashboard capabilities and the data blocks and how easy it is to use for the end user

I find it a very easy tool for the end user so there’s not much I don’t like

Being able to get data in a much more seamless manner and build dashboards for management team

Ability to transform data from within the tool in powerful ways - flexibility over transformations and joins Respect for the engineering process - peer review + versioning is super helpful Destinations and actions allow me to send data where it will be most actionable - also allows me to use Looker as an ETL tool to dump data from one database to another Looker chat

The learning curve makes it difficult to onboard new users. Given that Looker is so different from any BI tool anyone has ever used, there's often push back that prevents people from adopting the product early on. The Visualization options still have a long way to go to make Looker at par with Tableau / Power BI etc. I think the new filters and UI will help in this regard but they are a bit wonky to use and have bugs. Unable to run regressions and more sophisticated analysis Looker is a huge system and requires too many people to manage. Admin tools / settings keep getting more and more granular - very difficult to manage the breadth of knowledge (analyst, developer, admin) needed for a one-person BI team in a startup.

- Providing data to all parts of the company - easy to share - Building functional dashboards for business units - Using Looker as a source of truth for financial data - bringing all the data together in one place

The best part is that we can write queries very easily and they can be reused by other team members with minimal effort. PDTs are also very helpful. Looker provides a lot of flexibility for developers and analysts. Looker training documentation is very helpful to learn Looker and I love Looker online support chat. Personally, I have not used any other tool that has such quick and responsive support. Everyone tries to make sure that your questions are answered and even if they can't they will direct you to some documentation or tutorial that can be helpful. There have been instances where the support team has spent an entire day to solve my issues and make me understand the solution thoroughly. I appreciate the patience and support. I also like the part that every chart does not have to be saved as a look or dashboard. We can just share the link of explores and they are like temp charts which can be used temporarily for getting feedback and sharing intermediate results.

I dislike the part that visualization options are sometimes hard to achieve the way we can do in other tools like Tableau. For example, Tableau has the option to use charts as filters for other charts. This is currently not possible in Looker but hopefully will be possible soon. There are certain types of charts that are not possible but can be added as an extension. It can be a little hard for someone to start working on Looker after they have already worked on Tableau or PowerBI. The learning phase can take sometime as it is a very different tool from other analytics tools.

I am making reports for different teams in my organization. I use Looker almost everyday and it has been beneficial for me in certain ways- connects to the database easily easy to use for analysts connects to various other external applications/softwares like S3 easy to add description to metrics, dimensions and dashboards lets you customize dashboards for users easy to make changes to underlying queries without impacting other users. Online support Fresh data from Redshift/ database real time analysis LookML table calculations adding measures and dimensions as and when needed

The ability to create new types of data and measures on the fly and is very powerful for non-technical users. With little to no programming experience you can change how you see the data being sent into Looker using the easy to comprehend LookML.

The measures and dimensions can be difficult to navigate in the new UI. This is made even worse if you've made the faux pas of not sticking to clear naming conventions and deciding the right amount of data to include in each view - it can get messy! There's still no way to tag a time/date with a reference/note when looking at data over time. eg. "big sale started", "big sale ended".

Using looker has given us deeper insight into the way our users are interacting with our products. Using looker enables us to categorise and divide our user data into chunks we can deep dive into to understand what is and isn't working. Looker supports ongoing metric observation as well as one off analysis as required.

Easy to view reports which give me valuable insight.

Need to have an admin create the report.

Product utilization which shows help prioritize account management.

Looker provides my team and I the data and visibility to be more effective in our role. Time is saved by not having to create separate reports to aggregate data and determine who should be prioritized for outreach.

There is sometimes a lag between the data being shown and what is present in other systems i.e. Salesforce.

Looker helps me identify potential up-sell opportunities and relationships that should be re-engaged.

I like being able to query the data instantly and make educated decisions on marketing analytics efficiently.

One thing we have issues with is load time for certain databases.

We have built automated reporting dashboards that allow us to be efficient with our marketing channel allocations.

Client usage is a key component in how our organization has been able to build, grow, and properly facilitate our clients. Looker offers us the ability to gather insight and data into the clients entire life cycle.

A bit slow and the interface can be a little more user friendly.

We use looker to track user metrics in terms of usage, renewals, etc. It's great to be able to be able to track all of these data points within one tool.

Google Data Studio allows you to easily create data visualization/dashboards and without the cost of Tableau. Sharing your dashboards is very easy and the functionaity is great!

Some features are not available, but Data Studio is constantly improving the tool based on user feedback.

Creating impressive data visualizations without the cost of tools such as Tableau. Creating visualizations tells the story of our data in a disgestable way.

It's super-fast, scales easily and there is no compromise on any aspect. The cost is reasonable relative to other vendors. Alignment with BigQuery provides differentiated service from others. It has great geospatial extensions.

BigTable provides consistency for single-row updates but does not guarantee the same for multi-row updates or cross-table updates. Applications need to manage any consistency requirements across rows or tables themselves.

Using it as the source of data for most of our APIs in production.

More choice of course to select. And descriptionand explanation is good overall

Nothing to dislike. Description ansd simple and understandable

Working releated to google cloud platform. It helped me setting up new landscape.

Looker is great because it mirrors the functionality of typical coding languages but applies it to BI tools and applications. You can use LookML to write how a dashboard should look in addition to standard drag and drop building. The flexibility makes it much easier to use from a data team point of view.

Sometimes it lacks the visualizations or functionality that a business user might expect from a competitor such as Tableau. While looker can "do more" from an advanced point of view, basic data consumers don't feel that it gives them all they need from a BI point of view.

It helps us bring a lot of data sources together quickly and easily from our data warehouse. As a smaller and newer startup, the flexibility it provides allows us to add new and important metrics or data on the fly. When we change our definitions for a metric, it's usually really simple to change that definition in the LookML and update it quickly across our entire Looker instance.

Easy to use and good flexible functionality

Occasionally a bit fiddly merging data sets and visualisations not as flexible / customisable as in other programs

Showing clear KPIs on dashboards with minimal work needed

The nearly limitless reporting abilities. This allows me to make data driven decisions vs having any guess work. The revenue as a result speaks for itself.

Nothing that I can think of to be honest. I really love using Looker.

I am taking all the guess work out the equation and running reports which help me identify what the data says. Once, I have that I can make data driven decisions that sky rocket success.