1 day course 
Certificate of Attendance 
Private As data volume, quality, and complexity increase, a fresh approach to analysis is essential; one that can keep pace with the scale and speed of incoming data.
In this one-day course, discover how to use AI-powered workspace tools, such as Google Workspace with Gemini or Microsoft Copilot, to reduce the time spent on market analysis and insight generation.
You’ll learn how to read, process, analyse and act on data more effectively using AI. We’ll move beyond generic best practice to explore the specific features and functions of tools like Gemini and Copilot for analytical tasks where accuracy, reliability and traceable logic matter. You’ll also develop the human skills needed to validate insights and apply judgement before and after creation.
Following the data lifecycle end to end, you’ll learn which parts of analysis are being commoditised by AI, where human expertise still matters most, and how to combine both for better outcomes. You’ll also explore how AI can support desk research, data preparation, advanced analysis, and clearer data-driven storytelling in docs and presentations.
This course is available as a private course, delivered virtually, at your offices, ours, or any location that works best for you, whether in the UK or internationally.
Course overview
Who should attend:
This course is designed for marketers, analysts, and managers overwhelmed by data but seeking insights. No technical analytical background is required, just your curiosity and intuition.
What you'll learn:
By the end of this course, you'll be able to:
- Reduce time to insight through the application of AI-powered analysis at each stage of the data lifecycle
- Create comprehensive research docs, spreadsheet summaries and compelling action plans
- Use prompting best practices and platform specific features to produce reliable, traceable insights
Prerequisites:
To get the most out of this session, you should have access to a workspace AI integration. We currently offer this training for Google Workspace with Gemini and Microsoft Copilot. To discuss how we can tailor the content to your specific tools and use cases, just get in touch.
Course agenda
- The data lifecycle: turning raw data into insight, knowledge and wisdom
- Effective prompt engineering for analysis
- Gemini/Copilot features for AI-analysis
- Data validation strategies
- Data sources for AI analysis
- Generating a grounded research doc
- Extracting, cleaning and enhancing your data
- Summarising a dataset with descriptive analysis
- Understanding cause and effect with diagnostic analysis
- Detecting trends and patterns with predictive analysis
- Showcasing advanced AI analysis use cases
- AI-powered data visualisation
- Creating an action plan with prescriptive analysis
- Presenting your findings
- Responsible AI use: Identifying opportunities and risks
- AI analysis workflows and orchestration