A handy and powerful self service data ingestion and self service analytics tool, makes your life easy ingesting and processing very large datasets
March 18, 2018
A handy and powerful self service data ingestion and self service analytics tool, makes your life easy ingesting and processing very large datasets
Score 9 out of 10
Vetted Review
Verified User
Software Version
Qlik Sense Enterprise
Overall Satisfaction with Qlik Sense
Qlik Sense was deployed across the organisation that has 1000+ user base. The organisation is a leading insurer in the UK. The pricing team needed advanced analytical capability and technology that not only does analytics but should be able to ingest large data sets for analysis. After careful consideration (of using QlikView for sometime and evaluating others in the market), Qlik Sense was chosen. Qlik Sense helped in processing large data sets containing billions of rows across hundreds of rating factors. Qlik Sense did eventually empower the power users with self service analytical capabilities.
- Ingesting and processing large data sets containing hundreds of millions to billions of rows
- Intelligent association of disparate data sets. providing early visibility of the connections in the underlying data
- Ability to embed statistical programming code like R for advanced analytical processing and visualisation
- Offers both Self Service Data Integration and Self Service BI and Analytics capabilities
- Flexible deployment architecture
- Licensing was expensive compared to other market players
- Qlik Sense plays a lot around memory management. An average user, unless they understand the data modeling, cannot optimise Qlik Sense usage properly which could lead to poor implementation. Qlik Sense should offer training in this space.
While Tableau then was better at self service visualisation and analytics than self service, Qlik View was its direct competitor. With Qlik Sense coming into play, the equations changed and Qlik Sense had upper hand with its excellent self service data integration capabilities that a power user with access to data sources can ingest data on their own without relying on the IT. Also, the data sets were compressed by Qlik Sense (to the factor of 10 at times) that enabled it to consume lesser memory, thereby leaving a lot of memory for in-memory processing. These and a few other features really made Qlik Sense stand apart from the competition.
Qlik Sense Feature Ratings
Using Qlik Sense
Actuarial Pricing, Finance
- Street pricing of actuarial premiums
- Financial forecasting
Evaluating Qlik Sense and Competitors
- Product Features
- Product Usability
- Existing Relationship with the Vendor
Existing relationship, in the sense that another product, QlikView, was in use already by around 500 users.
I think we did a proper evaluation so that there's no need to change.
Qlik Sense Implementation
- Implemented in-house
Yes - Gradual deployment, with respect to infrastructure
Change management was a big part of the implementation and was well-handled
- Deployment issues
Qlik Sense Support
| Pros | Cons |
|---|---|
Quick Resolution Good followup Knowledgeable team Problems get solved Kept well informed No escalation required Support understands my problem Support cares about my success Quick Initial Response | None |
When I was working on the deployment architecture I was helped by their consultants, which eased my efforts to quite an extent.
Using Qlik Sense
| Pros | Cons |
|---|---|
Like to use Relatively simple Easy to use Technical support not required Well integrated Consistent Quick to learn Convenient Feel confident using | None |
- Drag and Drop visualisation
- Connecting to data sources including the Cloud sources
- More than product feature, its the data architecture (that impacts memory management) that was cumbersome. Needs some help, but once you get it right, you are on an easy sail
- Creating new user defined functions
Yes, but I don't use it