QlikView Makes Sense!
June 01, 2016
QlikView Makes Sense!
Score 9 out of 10
Vetted Review
Verified User
Software Version
QlikView Enterprise
Overall Satisfaction with QlikView
It is being used across our entire organization. We currently have approximately two-thirds of our markets using QlikView. We are using it to provide markets with advertising data from our enterprise advertising system.
- We are able to load in data from multiple sources. We load data from SQL databases and Excel spreadsheets.
- I have always described QlikView as pivot tables on steroids. It provides our users with a lot of freedom to manipulate or 'customize' reports that are already created by expanding and/or collapsing columns and the ability to move columns around to provide more detailed information or to roll up data in more meaningful summary reports.
- Our users also love the multitude of selection list boxes that can be made available. Simple clicks on these list boxes can 're-run' reports in a matter of seconds.
- We make extensive use of Bookmarks. Since we use QlikView across our organization, we tend to create reports with the whole organization in mind. Bookmarks make it easier for individual markets to 'customize' these reports for their local use.
- I would really like to see 'Wizards' that would help with creating and better understanding Set Analysis expressions. Set Analysis is a very powerful tool, but for those who aren't hard core users have trouble understanding how to best write and use these expressions.
- With the amount of data we have to load, it can take quite sometime for reloads.
The only other product I have used for reporting is putting data into Excel and creating pivot tables. The ability to connect directly to multiple databases and other data sources is vastly superior.
QlikView Feature Ratings
Using QlikView
Advertising sales and management and finance.
2 - We have two data analysts along with one person at a third party vendor.
- Bringing data together from other departments besides just the advertising department.
- Short 'one-time' projects that require data analysis for specific projects.
- Financial revenue forecasting.
- Advertising performance history versus current activity and forecasting.
- Individual sales rep performance stats.