To empower marketing leaders to design and strategically plan a data ecosystem grounded in the IDIRA® framework, focusing on the extraction of operational insights through advanced prompt engineering (CIDR Pattern) to transform static data into business decisions with an impact on the P&L

 

• Module 1: The IDIRA® Framework and the “Data-Driven” Paradigm (3h)
  • The role of the IDIRA® framework in defragmenting data and creating a single source of truth
  • Integration and Data Collection: Preparing the ground (GA4, CRM, GDPR compliance)
  • Assessing the organisation’s analytical maturity level (IDIRA Canvas).

• Module 2: The CIDR Pattern: Analytical Prompt Engineering (3h)

          Deep dive into the CIDR methodology for drafting requests:

• • Context: Defining the situation, the role of AI, and the business objectives.

  • Instruction: Formulating the analytical request precisely and unambiguously.

  • Data: How to prepare and present structured datasets (CSV format, Tables) to the AI.

  • Expected Result: Structuring the output format (tables, lists, comparative analyses).

  • Prompt Lab: Practical exercises applying CIDR in the exploratory analysis of static datasets.

• Module 3: Actionable Insights and the “Language of the CFO” (3h)

  • Transforming AI outputs into strategic decisions (Segmentation, Next Best Action).

  • Linking predictive analytics to executive metrics (LTV, CAC, ROMI).

  • Reports: How AI can support the structuring of dynamic reports.

  • Workshop: Translating analysis scenarios generated by AI into an Executive Summary for the Board.

• Module 4: “The Art of the Possible” and the Orchestration of the Future (3h)

  • Executive Demonstration (By the Trainer): The practical impact of Conversational AI in exploring complex databases (e.g., GA4), illustrating the potential of real-time data orchestration (even if full adoption is not immediate).

  • Implications for team management: The new role of the “Orchestrator Marketer”.

• Module 5: Integrative Exercise – Case Study (3h)

  • Solving a practical case based on market reality (e.g., resolving data silos in a B2B scenario).

  • Applying the prompt library (CIDR) to extract conclusions from the case data.

  • Drafting a 30-60-90 day action plan for adopting the framework.

 

Skills to develop By the end of this training, participants will be able to:

• Assess the readiness of their data infrastructure for AI initiatives.

• Formulate advanced analytical prompts to extract relevant information from datasets.

• Interpret AI results critically and in alignment with the company’s financial objectives.

• Lead their team’s transition towards a data-driven marketing culture

Strictly between 10 and 12 participants, ensuring personalised support during the practical labs

 

Designed for Data-driven Decision Makers

• The Strategic Leader: Who needs to prove ROI to the board without getting lost in spreadsheets.
• The Marketing Consultant: Who needs to know that data should be organised in the modern data-driven marketing step-by-step guides to master how to implement analytics tools.
• The Marketer: Who needs step-by-step guides to master the implementation of analytics tools.