Data-driven business negotiation, AI with Fabric and Power BI

Unit 1. Business negotiation in the data age

• Evolution from traditional negotiation to data-driven negotiation.
• Strategic decision-making supported by Business Intelligence.
• Data as a critical asset in complex negotiation processes.
• Real-world cases of business negotiation with analytical support.

Unit 2. Business Intelligence fundamentals for executives

• What is Power BI and why is it key for management committees.
• Executive view of the Power BI ecosystem: Desktop, Service, and Mobile.
• Strategic KPIs and dashboards for negotiation.
• Difference between operational reports and decision dashboards.

Unit 3. Fabric and data modeling for negotiation scenarios

• Introduction to Microsoft Fabric and its integration with Power BI.
• Data models oriented toward business and decision-making.
• Relationships between commercial, financial, and operational data.
• Preparation of datasets for simulations and comparisons.

Unit 4. Advanced visualization to influence and negotiate

• Design of impact-oriented executive dashboards.
• Data storytelling for internal and external negotiation.
• Key visuals to represent trends, comparisons, and scenarios.
• Visualization best practices for management.

Unit 5. Scenario analysis and negotiation simulations

• "What-if" analysis applied to negotiation conditions.
• Evaluation of risks, margins, and alternatives.
• Multiple scenarios to support strategic decisions.
• Use of updated data to adjust positions.

Unit 6. Natural language and automated insights in Power BI

• Use of natural language for immediate analysis.
• Obtaining quick conclusions without technical dependence.
• Intelligent narratives to explain negotiation outcomes.
• Democratization of analysis for executive teams.

Unit 7. Artificial Intelligence applied to negotiation

• AI contributions to business data analysis.
• Intelligent visuals: Key Influencers and Decomposition Tree.
• Detection of patterns and key factors in decisions.
• Practical application of AI to commercial and financial negotiations.

Unit 8. Prediction and anticipation in negotiation processes

• Predictive analysis applied to sales, costs, and agreements.
• Identification of trends and hidden opportunities.
• Use of Machine Learning models in Power BI.
• Anticipating scenarios and behaviors through data.

Unit 9. Decision automation and alerts

• Automation of strategic decision-making processes.
• Activation of alerts and immediate actions.
• Use of flows to accelerate approvals and responses.
• Reduction of negotiation times through automation.

Unit 10. Security, data governance, and negotiation

• Information security in Fabric and Power BI.
• Access control and visibility of sensitive data.
• Data governance in negotiation contexts.
• Protection of the strategic value of information.

Unit 11. Practical cases of data-driven negotiation

• Negotiation with strategic clients.
• Negotiation with suppliers and partners.
• Internal negotiation of budgets, resources, and priorities.
• Comparative analysis and decision-making supported by BI.

Unit 12. Final project: Executive negotiation dashboard

• Design of a strategic dashboard for negotiation.
• Integration of data, AI, and automated insights.
• Executive presentation oriented toward the management committee.
• Final assessment based on the impact on decision-making.