Qlikview

QlikView Review
It runs in-memory so you can increase the speed by increasing RAM, depending on your budget.


Valuable Features:

  • Intuitive data insights and standard reporting.
  • It runs in-memory so you can increase the speed by increasing RAM, depending on your budget.
  • It has its own ETL tool, QlikView Connector.

Improvements to My Organization:

It gives intuitive data insights to improve and optimize our global supply chain (help drive and build strategy to improve on-time delivery, reduce quality and damage returns, etc.), with a few simple clicks to drill down to the details (down to the SKU level and call centre conversation details with customers). The dashboard gives management a holistic picture on our important KPIs.

Room for Improvement:

  • Enhance predictive analytics and big data; this is the future trend.
  • Simpler, cleaner charts and visualization (easier user acceptance)
  • Formatting and repositioning the menu/charts takes a bit long. It does not have drag-and-drop capability like Tableau does.

Use of Solution:

I have been using QlikView for 2.5 years.

Deployment Issues:

There’s no version control, which means you can't roll back to earlier versions once overwritten/published.

Technical Support:

I rate technical support 6/10.

Previous Solutions:

I also evaluated MS BI and tableau. Compared with MS BI, I find Tableau and QlikView have stronger visualization; intuitive data insights; less development lead time - MS BI requires creating OLAP cubes, which takes more time; clearer and simpler charts; and intuitive data mapping/insights.

Initial Setup:

Initial setup was straightforward.

Implementation Team:

We implemented it in-house. QlikView is running in memory, so it depends on your organization to achieve the balance between cost of server RAM and performance. Besides, the data quality and accuracy is very important, no matter what powerful visualization tools are used.

ROI:

Tableau seems to have easier user acceptance than QlikView because of the simpler charts and big data integration, increasing the possibility of helping an organization transform from reactive analysis to predictive analysis.

Cost and Licensing Advice:

Server versions are not cheap and pretty similar for both Tableau and QlikView in terms of price. I don't see a big difference; it really depends on your organization's need.

Other Advice:

If you have more developers/technical people and want to do more standard reporting without Hadoop, go for QlikView; if you have more business users with some SQL knowledge and would like to do predictive analytics, and integration with big data platform Hadoop, go for Tableau.

Disclosure: I am a real user, and this review is based on my own experience and opinions.

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