English Qlik Sense 2.1

Discover and analyze

When you have created your app and loaded data into it you can start using it for data discovery and analysis.

Routine analysis

It is typical in routine analysis to follow up on key metrics on a regular basis. Here are some examples of KPIs you might want to keep a close watch on:

  • Total sales versus quota each morning
  • Total sales versus total sales the same period last year
  • Orders placed but not delivered at the end of the week
  • Sales per region on a certain day each month

Exploratory analysis

Sometimes when you are analyzing data, you might find that something is missing in the app that you have access to. Even though Qlik Sense allows for efficiently filtering the data by making multiple selections, you might want to adapt the existing visualizations, dimensions or measures to be able to explore the data for new insights.

Create a visualization

You can do some exploratory analysis by creating your own visualizations, or by reusing master visualizations that include exactly the measures and dimensions that you are interested in.

Interacting with visualizations

You make discoveries in your data when you interact with the visualizations. You can go into detail in your data and gain new insights as you filter out data for certain areas. The most common way to narrow down the data is by making selections, either in filter panes or directly in the visualizations.

Exploring with selections

You can explore by making selections in visualizations, further aided by the selections bar. You can also use the smart search tool to search through all data in the app.

Keeping track of data using bookmarks

You can use bookmarks to save selection states you often have. This makes them easier to revisit.

Troubleshooting - Discover

Solve common problems that can occur when discovering and analyzing with Qlik Sense.