37 reviews
WH Score

Top Looker Features

What are the Best Looker Features?

Data Management
  • Data Indexing
  • Data Classification
  • Data Discovery
  • Data Mapping
  • Data Refresh
  • Data Lookup
  • Data Masking
  • Data Blending
  • Data Drilling
  • Data Mining
  • Data Modeling
  • Data Validation
  • Data Deduplication
  • Data Merge
  • Data Feed
  • Database Maintenance
Data Migration
  • Data Import
  • Data Export
Report Management
  • Report Filters
  • Report Sharing
  • Report Publishing
  • Concurrent Report Execution
Reporting & Analytics
  • Tree Maps
  • ROI Reports
  • Forecasting
  • Data Visualization
  • Dashboard
  • Query Tables
  • Data Analytics
  • KPI Tracking
  • Heatmaps
  • Deployment Monitoring
  • Database Analytics
  • Trend Reports
Drag-and-Drop Builders/Designers
  • Dashboard Builder
  • Report Builder
Layout Types
  • Board View
  • Spreadsheet View
  • Grid View
  • Chart View
  • Calendar View
  • List View
  • Table View
Chart Types
  • Pie Charts
  • Column Charts
  • Funnel Charts
  • Stacked Charts
  • Pyramid Charts
  • Meter Graphs
  • Line Graphs
  • Bar Charts
  • Bubble Charts
Customizable Items
  • Custom Reports
  • Report Scheduling
  • Data Alerts
Workflow Automation
  • Update/Patch Automation
Document Management
  • Files Repository
  • File Sharing
  • File Transfers
  • Multi-Tenant Deployment
  • Centralized Console
  • Low-Code/No-Code Development
  • Update/Patch Management
Cybersecurity Features
  • Data Security
Disaster Recovery
  • Data Backup & Recovery
Integration Options
  • APIs
After-Sales Service
  • Email Support
  • Web Support
  • Technical Support
  • Developer Support
  • Forum
  • User Limit

Looker Top Features Related Review

Reviewed on 26 September 2019

Simple, flexible, effectual Analysis of Data

Looker is an exceptional system. Despite needing some setup initially, it finally saves time by empowering colleagues who aren't technically proficient to analyze data by themselves.

  • Team members without technical skills such as Python or SQL can access the data, UI is simple to use, very robust, helpful for adding data visualizations to reports, creating data-driven business choices, plus any other role needing you to analyze data
  • Further, this software has put out an excellent series of instructional videos that are beneficial in knowing how to optimally work with the software.
  • The software's original installation and development process is time consuming, a lot of programming, troubleshooting and general work from the data science group is needed to configure the system to access your data.

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