Looker Studio by Google is a data visualization tool. You can create dashboards for end users that present data insights clearly, helping Senior Management make better-informed decisions. It offers a variety of widgets for building dashboards and reports, including bar graphs, charts, butterfly charts, word clouds, funnel charts, line graphs, pie charts, gauges, maps, and more. In our case, Looker Studio is used by the Marketing department to forecast sales for upcoming years based on previous years’ data. It also includes its own AI component to support forecasting. Review collected by and hosted on G2.com.

There’s really nothing to dislike. Since it’s a Google product, the support is good, and the platform feels stable and reliable overall. Administration and ongoing maintenance are straightforward, which makes it easy to manage day to day.

It also integrates well with other Google products. You can pull source data from Google Sheets, Google Analytics, Google Ads, or other cloud databases. On top of that, it can connect through different connectors such as BigQuery, as well as partner connectors like Facebook Ads and more. Overall, Looker Studio is a great option for data analytics and visualization. Review collected by and hosted on G2.com.

Looker allows you to do a lot of Modeling & Exploration on your data layer called LookML which helps you make sure that your metrics remain constant across all reports. Good to have the integration with Cloud Ware Houses such as BigQuery, and works really well for even really large amount of data. Dashboards were interactive and were easily shareable. Review collected by and hosted on G2.com.

The learning curve can be challenging, particular for users that don’t already know LookML and SQL. Data modeling has a higher technical requirement, and the total expense might be higher than on similar products in the industry. Review collected by and hosted on G2.com.

The reports interface for both standard and self-service reports is intuitive, straightforward, and easy to use. By using formulas based on existing data elements, users can create new fields and calculate new values as needed. It also offers a variety of attractive graph and chart formats, lets you track metrics in real time with consistent and frequent updates, and enables you to receive email reports and notifications regarding metrics. Review collected by and hosted on G2.com.

It can be a bit complex sometimes for beginners, and certain reports take time to load. For beginners, Looker could improve the onboarding experience with simpler tutorials, guided dashboard creations, and more beginner-friendly explanations for advanced features. Review collected by and hosted on G2.com.

I use Looker to view dashboards and analyze data trends for reporting purposes. What I like most is its ability to present complex data in a clear and interactive way. The dashboards are easy to navigate, and the visualizations help quickly understand key metrics and business insights. Review collected by and hosted on G2.com.

For new users, creating advanced reports and understanding data modeling concepts can take some time. Some customizations may also require technical knowledge. Review collected by and hosted on G2.com.

What I highlight most about Looker is its centralized data model with LookML, which allows defining metrics and business logic once so that everyone in the organization works with the same definitions, avoiding inconsistencies between reports. I also value that it queries data in real-time directly from the data warehouse (without the need to extract or duplicate data), and that the visualizations and dashboards are easy to share and embed in other applications. Additionally, by versioning the models with Git, it facilitates collaborative work and change control. Review collected by and hosted on G2.com.

What I like least about Looker is the learning curve of LookML: learning its syntax and data modeling logic takes time, especially for users without prior experience in modeling or SQL. I also notice that the customization of visualizations is more limited compared to other BI tools, and that performance can be affected in complex queries over large volumes of data if the model is not well optimized. Additionally, being a 100% cloud-based tool and dependent on the data warehouse, any slowness in the underlying database directly impacts the experience within Looker. Review collected by and hosted on G2.com.

A lot of data. In Looker, we have so much data and reports. For our developers, adding more fields is quite easy, so we are very happy with this. UI is good, you can customize a lot of things. Review collected by and hosted on G2.com.

Sometimes, when you have too much data, it takes ages to update the page. Onboarding new users isn't easy because there are too many fields (in our case), but I think it is a common issue with these tools. Review collected by and hosted on G2.com.

I use Looker for business reporting, dashboard creation, and tracking company performance data in real-time. It helps analyze sales, operations, and customer insights all in one place, making decision-making faster and more efficient. What I like most about Looker is the easy-to-use dashboard and real-time updates. The simple dashboard design and easy reporting customization make data tracking faster and more organized, helping with quick decision-making. The real-time updates are particularly helpful for making faster decisions and keeping everything clear and organized. It has made data tracking and reporting much more organized and efficient. Review collected by and hosted on G2.com.

Sometimes reports take a little longer to load, and some advanced features can be confusing for new users. Improving speed and making the interface simple would make the experience even better. Looker could improve by making dashboard loading faster and adding simple tutorials or a guided setup option for new users. A more beginner-friendly interface would help teams learn and use the platform more easily. Review collected by and hosted on G2.com.

I use Looker for digital ads reporting for platforms like Google Analytics, Google Ads, and DV360. I like that it creates dynamic and live reports, especially for Google platforms, which is great for sharing with clients and managers. The best part is, once set up, it can show reports in real-time to anyone who needs it, and the initial setup is easy, though it takes time when blending reports. Once done, it can be used forever. Review collected by and hosted on G2.com.

It is not very efficient for non-Google products and sometimes it's paid for certain platforms. Setup is easy though it takes time especially when I need to blend the reports. Review collected by and hosted on G2.com.

I like how straightforward Looker is to use once it’s set up. We’re running everything off BigQuery, and the integration feels pretty seamless. Building and updating dashboards is fairly intuitive, even for people who aren’t super technical. It’s also been very reliable for u, things just run when they’re supposed to without much babysitting. Setting up scheduled jobs (like sending reports or exporting data) is simple and doesn’t take much time, which has made a big difference in our day-to-day work. Review collected by and hosted on G2.com.

The UI feels a bit basic at times, and there are moments where I wish there was more flexibility in customizing visuals or layouts. It does the job, but it’s not the most modern or polished experience compared to some other tools. Also, debugging or tracing issues in more complex models can take a bit of digging. Review collected by and hosted on G2.com.

What I like most about Looker is that it puts all the data in one place. I use the dashboards daily, and I can quickly check details without extra steps. It saves me a lot of time while making reports. Earlier, we had to double-check numbers again and again, but now everything feels clear and easy to trust. Review collected by and hosted on G2.com.

What I dislike about Looker is that it can be slow sometimes, especially when opening big reports. The filters are not always easy to understand, so it takes extra time to find the right data. Also, making changes or creating new dashboards can feel confusing at first. It would be better if it was faster and more simple to use. Review collected by and hosted on G2.com.