Using Looker as explorer for the last year
Updated September 16, 2024

Using Looker as explorer for the last year

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with Looker

We use Looker as the visualization tool for the data of some of the SW applications we developed in the organization. It is used normally for those applications where Google Analytics information is available. We use it as a tool to share and visualize data but also to extract information to analyze it in other tools.

Pros

  • Integration with some solutions
  • Easy data extractation
  • Easy to build visuals

Cons

  • It is too difficult for simple use cases
  • User experience is not intuitive enough for explorers
  • Integrations with other visualization tools from other companies can improve
  • Improve analytics of some solutions
  • Increase the data availability of some solutions not available through other tools
  • Increase awareness of customer behavior on the apps
There are some specific use cases where other tools are not useful in our organization. Some software solutions are shared with other organizations inside the company and Looker is the only tool where we can collaborate good enough.

Do you think Looker delivers good value for the price?

Not sure

Are you happy with Looker's feature set?

Yes

Did Looker live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Looker go as expected?

I wasn't involved with the implementation phase

Would you buy Looker again?

Yes

It is especially useful for organizations when it can be used as the single source of truth for all the analytics.

It would not be the best option if some data is not accessible easily or in the cloud. Also in case other visualization tools are need, it may add an unnecessary step to really be able to analyze all the data.

Looker Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
6.0
Pixel Perfect reports
Not Rated
Customizable dashboards
5
Report Formatting Templates
7
6.0
Drill-down analysis
7
Formatting capabilities
7
Integration with R or other statistical packages
Not Rated
Report sharing and collaboration
4
7.0
Publish to Web
7
Publish to PDF
Not Rated
Report Versioning
Not Rated
Report Delivery Scheduling
Not Rated
6.5
Pre-built visualization formats (heatmaps, scatter plots etc.)
6
Location Analytics / Geographic Visualization
7
Not Rated
Multi-User Support (named login)
Not Rated
Role-Based Security Model
Not Rated
Multiple Access Permission Levels (Create, Read, Delete)
Not Rated
Report-Level Access Control
Not Rated
7.5
Responsive Design for Web Access
9
Dashboard / Report / Visualization Interactivity on Mobile
6
Application Program Interfaces (APIs) / Embedding ()
Not Rated

Using Looker

1000 - They represents functions like Business Analysis, Software Development in R&D, Data Analytics teams, and Big Data
5 - They need to be a frequent user and normally users of Google Analytics tools. They use to be the SW developers of some of the applications and tools that use Google Analytics to track performance and customer information, or Big Data colleagues who just have the knowledge. In our oragnizstion it is needed not only Data Analytics skills but also experience using our tools.
  • Data analysis
  • Customer information analysis
  • Data visualization
  • Reporting
  • We removed slides in some forums and use looker
  • We may migrate more tools and applications into Looker
  • We can integrate more Looker in other softwares
There are some products and internal sw applications that Looker is the best way to analyze the data. Also migrating everything to other software would be too difficult. Also, other organizations beyond ours ara using it, and some dependancies ara already set and working well. So it is unlikely that we change.

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