Qlik Sense 3.0 Need To Knows

An overview of all the new features in Qlik Sense 3.0 including visual data preparation, visual search, widgets, NPrinting in Qlik Sense, and Qlik connectors and the DataMarket. 

It’s here, it’s here! 

In case you hadn’t heard, Qlik unveiled quite a bit at Qonnections and left audiences highly anticipating the new features and functionality behind Qlik Sense, dubbed Qlik Sense 3.0. Even as a full-fledge, die-hard QlikView advocate myself, I was very intrigued by what I saw back in May. 

Qlik released version 3.0 last week, so let's dive into some of the highlights of this latest iteration of Qlik Sense.

Visual Data Preparation

One of the keys to the success of Qlik Sense is its ability to guide a user through the process of adding and preparing data to be analyzed in Qlik Sense. Qlik Sense already offers a very robust, intuitive Data Manager view, which allows users to load in data and use Qlik Sense and its Qlik Indexing Engine (QIX) engine to make the appropriate associations and profile the data. 

To make things even easier, new features in the data preparation allow users to visually see the associations Qlik Sense wants to make when loading multiple data sets. Each table is represented as a bubble/circle and users have the ability to visually connect them together using a drag-and-drop tool.  When they do, the QIX engine will automatically profile the data sets and suggest the most relevant associations.  Users can then choose which relationships are correct or preferred.  

Beyond creating associations, Qlik Sense 3.0 includes additional data profiling capabilities, including automatic creation of geographic location keys for points maps and better date/time recognition(!).  

Lastly, a new space within the data manager allows users to create derived fields and transform data with auto-complete for expression syntax. 

Qlik Sense Visual Data Preparation

Visual Search

Early on, Qlik Sense took the QlikView Global Search capabilities to a new level with the Smart Search functionality. Rather than having a generic search bar that still required the user to search through a clunky list of values, the Smart Search made it easier for users to search through organized lists of available fields. 

With Smart Search, Qlik Sense not only reveals matching dimensions, but also the associations that exist between dimension values across all sources, ranking the strength of the association.

In Qlik Sense 3.0, that same Smart Search functionality is expanded to allow users to search for, really, ANYTHING within the Qlik Sense application, from dimensions and associations to charts and meta data. 

For example, if a user searched for a particular individual, as shown below, Qlik Sense will return objects, charts and data that match or come close to matching the search query.

Qlik Sense Visual Search

 

Widgets

Back in the days of QlikView 10, QlikView introduced a new concept called Extensions. Extensions were a way for more savvy developers to add further customization to their QlikView dashboards. It didn’t take long for extensions to become very popular and this carried over into Qlik Sense. 

Extensions can be simple or complex, but often times required coding skills that were beyond your traditional Qlik Sense user. Now, Qlik is making things easier by introducing Widgets. 

With Widgets, developers can create custom user interface objects in Qlik Sense that are reusable across applications. While this can be done with the custom API development already available in Sense, widgets will allow an accelerated and simplified turnaround time in developing. They utilize minimal code, only HTML and CSS required, and libraries can be created for organization and governance. 

Widget Editor

NPrinting in Qlik Sense

While NPrinting has been around for quite some time, it was only available for QlikView… until now. With the release of Qlik Sense 3.0 comes NPrinting 17.1, providing compatibility between Qlik Sense and NPrinting. You can create reports that utilize objects from either Sense, View or both. 

If you’re interested in the latest version of NPrinting with Qlik Sense or QlikView, make sure you are aware of the compatibility between different versions. More details here.  

Qlik Connectors and the DataMarket

Over the past few release cycles, it’s been no secret that a key element in the roadmap for Qlik is the ability for users to connect to a variety of different data sources. Qlik has always done a fantastic job at aggregating different data elements within the app and continues to offer even more capabilities for the users to analyze even more data sets in the DataMarket.

The Qlik DataMarket also received some updates. 

  1. Two new topical packages were released: Stocks/Indices and Company Financial Reports. 
  2. Lower level demographic information is available, going down to the zip code level.
  3. Subnational map boundaries are now included within the free package for those working with geospatial/mapping.

In addition to these DataMarket updates, Qlik purchased Industrial Codebox, makers of QVSource, several months back. While things were pretty quiet on that front, as of this week, Qlik will release and support the Qlik Web Connectors Package. 

For those not as familiar with QVSource, it provided an intuitive platform for users to connect to and bring in “non-traditional” data sets into Qlik such as Facebook, Google Analytics, etc. The Web Connectors will be offered in two types: a free set and a premium set. 

Qlik Connectors User Interface

 

That’s quite a bit to take in at once, especially considering that QlikView 12 SR4 was also released.

Qlik Sense 3.0 continues to make strides for end user capabilities, allowing for less time preparing data and more time analyzing it. 

 

Qlik Sense 3.0 On-Demand Webinar

We cover these topics in more detail in our Qlik Sense 3.0 Webinar that you can Watch On-Demand now. You'll see the newest features of Qlik Sense 3.0 in action and see how you can convert your QlikView apps to Qlik Sense.

Logan Dickmeyer's photo
After four wonderful years at Indiana University studying finance (while also taking an Intro to SQL class that was subsequently dropped within two weeks thinking there is no way he will ever use this), he made the move to Chicago where, in fact, he used a lot of SQL.

 

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