https://www.qlik.com/us/-/media/files/resource-library/global-us/direct/datasheets/ds-augmented-intelligence-en.pdf

In the past few years, Qlik Sense has introduced a solid range of advanced analytics capabilities that compliments the Data Analytics platform. This includes using techniques such as Machine Learning, Natural Language Processing, etc. to help analysts/scientists explore data in a better way, get insights into any hidden patterns &…


Machine Learning has become ubiquitous in today’s world and our dependency on the decisions made by the algorithms has only increased. Also, as the complexity level of a real-life problem surges, ML practitioners have been on a quest to develop better algorithms to fit the curve. …


Welcome to the 2nd part of developing a Visual Text Analytics app using Qlik’s open-sourced solutions and a Word embedding technique(Word2Vec). In our previous tutorial, we designed a simple architecture(seen below) for the application that we will learn to develop today.

Now, let us try to understand the need for…


In my last post, I tried elucidating what Visual Analytics is and highlighted how it can differ from Data Visualization in general with some examples. Today, we are going to talk about one particular research area within Visual Analytics i.e., Visual Text Analytics. …


Visual Analytics(VA) formally can be termed as a discipline of analytical reasoning aided by interactive visual interfaces that aim at explaining certain hidden patterns in data and algorithms.

I think in today’s data-driven world we have been fairly familiar with how ‘Data Visualization’ can help users derive insights & make…


Qlik Sense’s self-service visual analytics platform has been compelling in processing and analyzing complex datasets to derive hidden patterns from the data and helping end-users make faster decisions by presenting interactive visualizations. …


In the past few posts, I have discussed the modern, lightweight framework from Qlik, Nebula.js, and its usage in developing various Qlik Sense objects such as — creating a new visualization chart or building Embedded analytics solutions like Mashups. Nebula.js is a collection of product and framework agnostic JavaScript libraries…


Modern Embedded Analytics solutions using Qlik offers a stack of open-source libraries to build customized analytical platforms backed up with the robustness of Qlik’s Associative Engine. These new mediums facilitates communication with the Engine and provides the flexibility to develop your own client and services or to integrate visualizations and…


Parallel Coordinate Plot(PCP) with Iris dataset.

In my last post, I discussed the robust capabilities of Qlik Sense(QS) APIs to build out-of-the-box visual metaphors and ways to integrate them within Qlik’s ecosystem. A natural choice for developers while building QS extensions throughout the years has been the ‘Extension API’ primarily using vanilla JavaScript, jQuery and AngularJS.


Qlik Sense API’s have been a powerful set of tools for the developer community to build out-of-the-box capabilities and to integrate them seamlessly within the Qlik’s ecosystem. These APIs enable a developer to communicate with the Qlik platform using technology frameworks such as JavaScript, .NET …

Dipankar Mazumdar

I am an R&D Advocate at Qlik where I experiment with the Engine. Also, a Visual Analytics Researcher at Dalhousie University.

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