How We Use Qlik in Customer Service
November 18, 2019

How We Use Qlik in Customer Service

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

Software Version

Qlik Sense Enterprise

Overall Satisfaction with Qlik Sense

Qlik Sense Enterprise is implemented across our department for visualising data generated by almost all business applications and users. Usual analytic tasks like presentation, comparison and outlier spotting are carried out with Qlik. For complicated analysis, assistance of data science language is introduced. In such cases, Qlik will be mainly used as a presentation of architectural models.

Pros

  • Power of self service
  • Compatibility of almost all common data sources
  • Straightforward management of viewing and editing authorities

Cons

  • Data science engine compatibility (R or Python), with official supports
  • Quick presentation for data tables
Intuitivity, price and the team being closed seeking customer requirements
Well suited - when a data table is in place. Just drag into Qlik, quick charts will be available in a second.
Space to improve - in particular, datetime handling could be a pain. Thought there are good formulas like IntervalMatch, net working days etc., it will be a bit tricky handling some particular datetime exceptions.

Qlik Sense Feature Ratings

Pixel Perfect reports
8
Customizable dashboards
10
Report Formatting Templates
7
Drill-down analysis
8
Formatting capabilities
8
Report sharing and collaboration
9
Publish to Web
6
Publish to PDF
4
Report Versioning
7
Report Delivery Scheduling
7
Delivery to Remote Servers
7
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
9
Predictive Analytics
8
Multi-User Support (named login)
9
Role-Based Security Model
8
Multiple Access Permission Levels (Create, Read, Delete)
8
REST API
8

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