Devseis

Equip professionals with the skills to independently analyze data using AI tools.
Empower executives to independently analyze data using AI, reducing reliance on IT.
Demystify AI tools (predictive analytics, NLP, automation) for non-technical users.
Teach GDPR-compliant cloud-based AI analytics to ensure data security.
Enable hands-on experience with no-code AI platforms.
Develop a self-service workflow from raw data to business insights.

Module 1: Introduction to Analytics and Common Business Scenarios (1 hour)
– Why analytics matters for decision-making
– Common business use cases (sales forecasting, customer segmentation, operational efficiency)
– Limitations of traditional analytics (IT dependency, slow turnaround)
– Demo: Quick AI-driven insights vs. traditional methods
Module 2: Understanding Data Formats and the Modern Analytics Ecosystem (1 hour)
– Structured vs. unstructured data (Excel, CSV, JSON, PDFs, databases)
– Where data lives (ERP, CRM, spreadsheets, cloud storage)
– The role of IT vs. self-service analytics
– Hands-on: Exploring sample datasets in different formats
Module 3: AI Basics – How AI Can Work for You (1 hour)
– Demystifying AI (ML vs. generative AI vs. predictive analytics)
– No-code AI tools for business users (e.g., ChatGPT Advanced Data Analysis…)
– Case Study: How an executive automated a monthly sales report using AI.
Module 4: Privacy, Compliance and Handling Data in the Cloud (1 hour)
– GDPR & Luxembourg-specific regulations
– Best practices for data anonymization and secure storage
– Cloud AI tools (AWS, Azure, Google AI) – What’s safe to upload?
– Exercise: Assessing privacy risks in a sample dataset
Module 5: Using AI to Process and Clean Your Data (1.5 hours)
– Automating data cleaning (handling missing values, duplicates, outliers)
– AI tools for data transformation (e.g., ChatGPT for CSV reformatting…)
– Hands-on: Uploading a messy dataset and letting AI clean it
Module 6: Making Sense of Data with AI – Visualization and Insights (1.5 hours)
– AI-powered dashboards (Power BI + Copilot, Tableau GPT)
– Natural language queries (“Show me sales trends by region”)
– Generating executive summaries from raw data
– Workshop: Participants ask AI questions about their own datasets
Module 7: Building a Self-Service Analytics Workflow (1 hour)
– Step-by-step AI analytics pipeline (from raw data to insights)
– Automation and scheduling reports (Zapier + AI tools)
– Avoiding common pitfalls (over-reliance on AI, misinterpretations)
Module 8: Wrap-up, Certification and Next Steps (1 hour)
– Recap of key takeaways
– Q&A + Troubleshooting real-world scenarios
– Certification Award and Resources (cheat sheets, tool recommendations)
– Feedback and Networking

Business pain points – Slow IT turnaround, misinterpreted data requests.
AI vs. traditional analytics – Speed, accessibility, and automation benefits.
Data privacy in the cloud – How to use AI while complying with GDPR.
Natural language queries – How executives can “talk” to data.
Automated reporting & dashboards – Reducing manual work.

AI-Powered Self-Service Analytics for Executives

Goals

Content

Points Covered

Ready to Upskill Your Team?

Devseis