Cognitive Business Intelligence and Augmented Analytics Training Course: Transforming Data into Intelligent Decisions

Introduction

Cognitive Business Intelligence (BI) combined with Augmented Analytics is revolutionizing the way organizations analyze data, generate insights, and make decisions. By leveraging AI, natural language processing, and machine learning, cognitive BI platforms automate data preparation, discovery, and visualization, making advanced analytics accessible to all decision-makers. This transformative approach empowers businesses to shift from reactive to proactive strategies while uncovering patterns that traditional BI systems often miss.

This training course is designed to equip professionals with the skills to implement cognitive BI and augmented analytics in real-world scenarios. Through practical demonstrations, interactive sessions, and industry-focused case studies, participants will learn how to integrate intelligent automation, advanced visualization, and AI-driven insights into their BI workflows. The program emphasizes hands-on learning to ensure participants can apply these innovations to drive smarter, faster, and more effective business outcomes.

Duration: 10 Days

Target Audience

  • Business intelligence professionals and data analysts
  • IT and data science specialists
  • Business managers and decision-makers
  • Digital transformation leaders
  • Professionals in operations, finance, and strategic planning

10 Objectives

  1. Understand the foundations of cognitive BI and augmented analytics
  2. Learn how AI enhances BI platforms with intelligent features
  3. Explore natural language processing for BI queries and reporting
  4. Automate data preparation, discovery, and visualization
  5. Apply machine learning for predictive and prescriptive analytics
  6. Integrate augmented analytics into business workflows
  7. Enhance decision-making with contextual, real-time insights
  8. Assess governance and ethical implications of cognitive BI
  9. Explore industry applications and case studies
  10. Develop a project applying augmented analytics to BI challenges

15 Course Modules

Module 1: Introduction to Cognitive BI and Augmented Analytics

  • Defining cognitive BI and augmented analytics
  • Evolution of BI towards intelligence and automation
  • Benefits and opportunities for businesses
  • Key technologies enabling cognitive BI
  • Future trends in augmented analytics

Module 2: Core Components of Cognitive BI

  • AI and machine learning integration in BI
  • Role of natural language processing
  • Cognitive automation in analytics
  • Intelligent data visualization
  • Case studies of cognitive BI platforms

Module 3: Fundamentals of Augmented Analytics

  • Automated data preparation
  • Augmented data discovery
  • AI-driven insights and recommendations
  • Self-service analytics capabilities
  • Scaling augmented analytics across teams

Module 4: Data Preparation and Automation

  • Automating data cleaning processes
  • AI-assisted transformation workflows
  • Handling unstructured and semi-structured data
  • Metadata management and automation
  • Tools for cognitive data preparation

Module 5: Advanced Visualization in Cognitive BI

  • Dynamic dashboards with AI-powered features
  • Visual storytelling with augmented analytics
  • Predictive visualizations for decision-making
  • Interactive and responsive dashboards
  • Examples of cognitive visual analytics

Module 6: Natural Language Processing in BI

  • Conversational BI interfaces
  • AI-driven natural language queries
  • Voice and text integration in BI tools
  • Building user-friendly cognitive systems
  • Industry applications of NLP in BI

Module 7: Machine Learning for Augmented Analytics

  • Supervised and unsupervised learning in BI
  • Predictive analytics automation
  • Prescriptive analytics for decision support
  • Automated model selection and tuning
  • Embedding ML models into BI dashboards

Module 8: Cognitive Search and Discovery

  • AI-driven data search capabilities
  • Contextual and semantic search in BI
  • Personalized insights for users
  • Automating data exploration tasks
  • Case examples of augmented discovery

Module 9: Real-Time Cognitive BI

  • Streaming data analytics with AI
  • Real-time dashboards and alerts
  • AI-driven anomaly detection
  • Cognitive automation for live data
  • Use cases in fast-moving industries

Module 10: Cognitive BI in Cloud Platforms

  • Cloud-native augmented analytics tools
  • Integrating AI features in cloud BI systems
  • Hybrid and multi-cloud analytics
  • Security and compliance considerations
  • Scalable architecture for cognitive BI

Module 11: Governance and Ethics in Cognitive BI

  • Transparency in AI-driven analytics
  • Addressing bias in augmented analytics
  • Ethical frameworks for cognitive BI
  • Governance best practices
  • Compliance with global data regulations

Module 12: Augmented Decision-Making

  • AI-powered recommendations for leaders
  • Context-aware analytics
  • Enhancing human judgment with cognitive insights
  • Collaborative augmented decision workflows
  • Case studies in strategic planning

Module 13: Industry Applications of Cognitive BI

  • Finance and banking use cases
  • Healthcare cognitive analytics
  • Retail and supply chain intelligence
  • Public sector augmented BI
  • Cross-industry applications

Module 14: Implementation Strategies for Cognitive BI

  • Roadmap for deploying augmented analytics
  • Choosing the right platforms and tools
  • Change management in BI transformation
  • Training teams on cognitive BI
  • Measuring ROI of cognitive analytics initiatives

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

Cognitive Business Intelligence And Augmented Analytics Training Course: Transforming Data Into Intelligent Decisions in Kenya
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