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

Appointments/Scheduling

Report Scheduling

Reminders/Alerts

Data Alerts

Workflow Automation

Update/Patch Automation

Document Management

Files Repository
File Sharing
File Transfers

Systems/Administrative

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

Limits

User Limit

Looker Top Features Related Review

Brandon

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.

Pros

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.

Cons

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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