How Augmented Analytics Enhances Decision-Making

Augmented analytics combines AI and human users to improve decision-making by enhancing data literacy and providing insights and assistance to business users.

• Augmented analytics combines AI and human users to enhance decision-making by leveraging machine intelligence and improving data literacy.

• Business users in organizations consume information, insights, and make decisions.

• Business analysts and data scientists face different challenges when using analytics, particularly with second-generation visualization tools.

• AI can assist business users by providing them with access to insights and overcoming their challenges with data literacy skills and accessibility.

• Business analysts spend most of their time dealing with data and visualizations instead of analyzing the business, while data scientists struggle to make their advanced analytics accessible to business users.

• Augmented analytics enhances decision-making by providing natural language insights, improving data literacy, offering assistance to business analysts, and enabling powerful integration capabilities for data scientists.

Key insights

• 🤝 Augmented analytics combines AI and human users to broaden insights and improve data literacy, creating a collaborative environment for decision-making.

• 🤔 Augmented analytics can empower business users by providing them with valuable insights and information to make informed decisions.

• 💡 Business analysts and data scientists face different challenges when using analytics, with business analysts focusing on generating impactful insights for business users and data scientists building sophisticated analytics like predictive models.

• 🤔 AI can bridge the gap between business users and data insights by providing accessibility and overcoming data literacy challenges.

• 📊 Business analysts spend a significant amount of time on data wrangling and building visualizations, leaving less time for actual analysis of the business.

• 💡 Investing in a platform that supports a broad range of AI capabilities can help all users maximize their potential with data, regardless of their role or use case.

Augmented Intelligence: The Power of AI and Machine Learning in Qlik Sense

The key idea of the video is that augmented intelligence, combining human and machine learning, can provide immediate value and insights by generating charts based on complex requests and explaining its logic to users, ultimately enabling users to become smarter and make smarter decisions.

• Augmented intelligence combines human and machine learning to provide immediate value and insights, as demonstrated by Qlik Sense's ability to generate charts based on complex requests and explain its logic to users.

• The machine can learn from us and adjust its suggestions based on our feedback.

• Users need to understand how to interpret charts in order for flashy dashboards to be useful.

• Our platform integrates elements to help users become more data literate and enables them to become smarter using associative technologies.

• Use Qlik Sense's augmented intelligence to analyze healthcare data, identify departments and counties served by a hospital, and determine which procedures to add to healthcare offerings.

• By using AI and machine learning in Qlik Sense, we can uncover valuable insights and make smarter decisions that would be impossible with query-based tools.

Key insights

• 💡 Qlik Sense's insights advisor uses AI technology to seamlessly produce charts based on complex requests, allowing users to gain immediate value and understand how the chart was built.

• 🔗 The associative technologies in Qlik Sense enable users to make smarter connections and associations between data, leading to more insightful analysis.

• 🏥 Using Qlik Sense's associative insights, administrators can easily identify which procedures to consider adding to their healthcare offerings based on data analysis.