The Augmented Analytics and AI-Driven Insights in Vienna is a forward-looking training course designed to help professionals harness AI-powered analytics for better decision-making.
From:
08-12-2025
From:
16-02-2026
From:
13-04-2026
From:
27-07-2026
Course Overview
Traditional analytics is no longer enough to keep pace with today’s data complexity. Augmented analytics, powered by Artificial Intelligence, automates data preparation, analysis, and visualization while delivering real-time insights. This Augmented Analytics and AI-Driven Insights Training Course teaches participants how to apply AI-driven tools for deeper analysis, predictive forecasting, and effective data storytelling.
Participants will explore self-service analytics platforms, natural language querying, and predictive models that empower decision-makers without requiring advanced technical skills. Real-world case studies and hands-on labs will show how augmented analytics enhances efficiency, accuracy, and business outcomes.
By the end of the course, attendees will be prepared to lead data-driven initiatives, apply predictive insights, and integrate augmented analytics into business strategies.
Course Benefits
Understand the fundamentals of augmented analytics
Automate data preparation and visualization with AI
Apply predictive models for smarter business forecasting
Communicate insights effectively through data storytelling
Build confidence in leading AI-driven decision-making
Course Objectives
Explore the role of AI in augmented analytics
Apply self-service analytics tools for business insights
Use natural language querying for data analysis
Integrate predictive analytics into decision-making processes
Build dashboards that automate and visualize key metrics
Ensure governance, accuracy, and ethical use of data
Foster a culture of data-driven leadership and innovation
Training Methodology
The course uses a practical approach with interactive lectures, demonstrations of augmented analytics platforms, group exercises, and case-based scenarios. Participants will apply tools directly to business datasets.
Target Audience
Business leaders and strategists
Data analysts and BI professionals
Managers seeking AI-powered insights
Professionals driving digital transformation
Target Competencies
Augmented analytics and automation
Predictive and prescriptive insights
Data storytelling and visualization
AI-driven decision-making
Course Outline
Unit 1: Introduction to Augmented Analytics
Defining augmented analytics and AI-driven insights
Benefits over traditional analytics
Core technologies: NLP, ML, and automation
Case studies of augmented analytics adoption
Unit 2: Self-Service Analytics and Automation
Tools for automating data preparation
Self-service analytics platforms
Reducing dependency on IT and data teams
Real-world examples of automation in action
Unit 3: Predictive and Prescriptive Insights
Building predictive models with AI
Prescriptive analytics for business strategy
Scenario analysis and forecasting
Applications across industries
Unit 4: Data Storytelling with AI
Turning complex data into clear narratives
Visualizing insights with AI-driven tools
Communicating findings to stakeholders
Best practices in storytelling with data
Unit 5: Governance, Ethics, and Future Trends
Ensuring data accuracy and reliability
Ethical use of AI in analytics
Governance frameworks for augmented analytics
Future innovations in AI-driven decision support
Ready to transform your decision-making with AI insights?
Join the Augmented Analytics and AI-Driven Insights Training Course with EuroQuest International Training and empower your organization with intelligent analytics.
The Augmented Analytics and AI-Driven Insights Training Courses in Vienna offer professionals a comprehensive and forward-looking understanding of how artificial intelligence is revolutionizing data analysis, business intelligence, and decision-making processes. Designed for analysts, data scientists, business leaders, and digital transformation professionals, these programs explore how advanced analytics, machine learning, and automation can transform raw data into actionable insights that drive organizational performance.
Participants gain in-depth knowledge of augmented analytics, an emerging field that enhances traditional analytics with AI-powered capabilities such as automated data preparation, smart data discovery, pattern detection, and predictive modeling. The courses emphasize how AI-driven tools streamline complex analytical tasks, allowing professionals to focus on interpreting insights and shaping strategy. Through hands-on exercises and real-world case studies, attendees learn to apply machine learning techniques, natural language query interfaces, and automated reporting systems to support data-driven decision-making across diverse business functions.
These AI-enhanced analytics training programs in Vienna also explore the practical integration of augmented analytics within enterprise environments. Participants examine topics such as data governance, visualization design, cloud-based analytics platforms, and the alignment of AI insights with organizational goals. The curriculum blends technical knowledge with strategic thinking, ensuring that participants not only understand how to use advanced analytics tools but also how to embed them into scalable, efficient, and responsible business processes.
Attending these training courses in Vienna offers a unique opportunity to learn from experts in data innovation while connecting with peers from a wide range of industries. Vienna’s thriving technology and research ecosystem provides an ideal setting for exploring the future of analytics and AI-driven intelligence. By completing this specialization, participants will be equipped to leverage augmented analytics to uncover deeper insights, accelerate decision cycles, and enable their organizations to compete effectively in a rapidly evolving digital landscape.