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Natural Language Processing is one of the leading trends in BI today, supporting search-based interaction and fully conversational analytics. With conversational analytics, more people – especially less sophisticated users – can embrace analytics using natural language, giving them a faster and easier way to ask questions of data, gain insights, and make data-driven decisions.

“Data and analytics leaders need to examine the potential business impact of these trends* and adjust business models and operations accordingly, or risk losing competitive advantage to those who do,” said Rita Sallam, research vice president at Gartner. The Conversational AI market is predicted to grow from $4.2 billion in 2019 to $15.7 billion in 2024.  And, by 2021, and the use of NLP and conversational analytics will increase the ability for new types of users to investigate and obtain business knowledge from 35% of representatives to over half

As conversational analytics proliferate, more organizations can expand the footprint of their analytics platform, placing more data in the hands of users who demand a simplified experience from their analytics platform.

Conversational, Natural-Language Insights

Insight Advisor in Qlik Sense is your intelligent AI assistant, enhancing your ability to gain insights and drive business decisions across the analytics lifecycle. Both visual and associative analyses and insights are auto-generated by Insight Advisor. Insight Advisor also provides Natural Language Processing and Generation (NLP and NLG), supporting conversational analytics and search-based visual analysis in Qlik Sense. Machine learning provides more relevant insights over time, and a robust business logic layer enables customization of insight generation and natural language interaction.  And of course, with the Qlik Associative Engine, you get unmatched context awareness and peripheral vision.

InsightAdvisor_End-to-End.png

 Insight Advisor provides you with end-to-end AI capabilities to drive business decisions  

 

Insight Advisor Chat gives you a fully-conversational natural language experience in Qlik Sense. It features Natural Language Processing (NLP) that understands user intent, and Natural Language Generation (NLG) to deliver additional insight and perspective. NLP and conversational analytics are highly complementary with augmented analytics. Unlike standalone products, Qlik Sense allows you to ask questions in a conversational manner then dive directly into search-based visual analysis for deeper insight and exploration. Insight Advisor Chat is available directly from the hub, supporting search across Qlik Sense apps; you can ask questions without knowing where to look for data.

How QlikView customers can utilize Insight Advisor Chat

Getting started with Insight Advisor Chat is simple. It is part of Qlik Sense, so as a QlikView customer, you can easily convert your QlikView app over to Qlik Sense using the same data model. QlikView and Qlik Sense share the same data model and the Insight Advisor has the ability to consume Qlik Sense data models. In addition, the Insight Advisor does not require pre-built dashboards in an app, so you do not need to rebuild all your visualizations. You’ll be able to immediately begin using Insight Advisor Chat, which will accelerate development of your first Qlik Sense application.

So, as expectations for analytics evolves you can expand use of Qlik Sense to remain relevant and stay ahead of your competition by implementing new apps and new BI use cases. Qlik has worked hard to eliminate the common barriers to adopting Qlik Sense for QlikView customers. These include:

  • Technical: We’ve worked diligently to add more robust visualization and application development functionality in Qlik Sense.  We’ve made many improvements, including adding over 20 new visualization types and over 50 new visualization and dashboard features, along with greater flexibility around content distribution.  This means as a QlikView customer you can feel confident that you’ll be able to create rich applications in Qlik Sense.
  • Migration: You don’t need to migrate. You can continue using your existing QlikView apps as you modernize with Qlik Sense. But if you do choose to convert apps, the free Governance Dashboard helps you identify the QlikView apps that would easily migrate to Qlik Sense. Then, the QlikView Converter helps you easily convert QlikView apps to Qlik Sense, including migration of data models and expressions.
  • Learning curve: Qlik Sense was specifically designed for ease of use and self-service. The QlikView to Qlik Sense Learning Path within Qlik Continuous Classroom provides many free self-paced Qlik Sense training courses. In addition, the Qlik services organization has several offerings to help your organization plan and execute your QlikView to Qlik Sense modernization.  
  • Cost: The Analytics Modernization Program gives Qlik Sense entitlement to your QlikView users for a modest uplift on your annual QlikView maintenance rate. Flexible deployment types are available.

 

The most economical way to modernize your analytics is through Qlik Sense Enterprise SaaS. The SaaS deployment gives you the benefits of infrastructure cost savings resulting from use of a Qlik-managed environment. You’ll experience a fast setup with no installation, short learning curve for users, automated version upgrades, and dramatically lower TCO. You can consume both QlikView and Qlik Sense side-by-side through the Qlik Sense Enterprise SaaS hub and utilize QlikView Publisher to automate QlikView document uploads.

For resources and discussion on QlikView to Qlik Sense, visit the community group. And, contact your Qlik account manager or partner for more information on the Analytics Modernization Program.

 

*NLP, augmented analytics, augmented data management, continuous intelligence, explainable artificial intelligence (AI), graph analytics, data fabric, commercial AI and machine learning, blockchain, and persistent memory servers