Course Code: bspanthson
Duration: 21 hours
Prerequisites:

Benefits of the Approach

  • Practical Applicability : By using real data, participants will be able to directly see the applicability of the knowledge acquired in their work context.
  • Continuous Improvement : Training does not end on the last day. Post-evaluation will allow you to monitor progress and ensure that the skills learned are applied effectively.
  • Analytical Capacity Development : With a focus on critical and analytical thinking, participants will be better able to question, interpret and act on available data.
  • Hybrid methodology: Possibility of holding face-to-face or remote sessions
    from a distance.
Overview:

General Objective: To train Sonae MC teams in the effective reading and interpretation of data, enabling informed and evidence-based decision-making.

Course Outline:

Day 1: Analytical Thinking - Understanding and Defining Business Issues

Specific Objective : To enable participants to develop structured analytical thinking, identify business problems and use data effectively to make informed decisions.

  1. Introduction to Analytical Thinking
    • What is analytical thinking and its importance in the business context.
    • How large companies use data analysis.
  2. Defining Business Problems and Issues
    • How to transform a business problem into an analytical question.
    • Difference between raw data and actionable insights.
    • Problem definition based on data provided by the client.
  3. Identifying Relevant KPIs and Metrics
    • How to identify and choose the most appropriate key performance indicators for each area (logistics, HR, sales).
    • Selection of KPIs for different departments.
  4. Methodologies covered
    • PDCA Cycle
    • Ishikawa diagram
    • KPI and SMART Objectives

Day 2: Sales and Inventory Analysis - Understanding Patterns and Behaviors

Specific Objective : To enable participants to interpret sales and inventory data, identify consumption patterns and make decisions proactively and strategically.

  1. Sales and Inventory Analysis
    • Interpretation of sales and inventory reports.
    • Identifying patterns and trends in historical data.
    • Seasonality analysis and its impact on inventory planning.
  2. Simple Analysis Tools
    • How to read a dashboard: what to look for, how to interpret it, and what to avoid.
  3. Proactive Inventory Management
    • How to use data analysis to anticipate stock needs.
    • Study of practical examples of efficient inventory management in retail environments.
  4. Methodologies covered
    • ABC Analysis
    • Pareto Analysis
    • Demand Forecasting Models

Day 3: Consumer Behavior and Effective Communication of Results

Specific Objective : To enable participants to analyze and interpret consumer behavior data and communicate results clearly and effectively to stakeholders.

  1. Consumer Behavior
    • How data reflects consumer behavior patterns.
    • Customer segmentation based on sales data and purchasing preferences.
  2. Results Communication Techniques
    • How to present data clearly and persuasively to different audiences (management, operations, sales teams).
    • Transform complex data into understandable stories.
  3. Presentation of Insights and Recommendations
    • How to translate data into actionable insights.
  4. Methodologies covered
    • RFM Analysis (Recency, Frequency, Monetary Value)
    • Data Storytelling
    • Customer Journey Map

Training Methodology

  • Teaching Material:
    • Practical guides for each topic.
    • Explanatory videos for later review.
    • Interactive exercises in SCORM format.
  • Assessment:
    • Initial Assessment: Diagnosis to be carried out before the start of training to measure the level of understanding of data and its application in the work context.
    • Final Assessment: An assessment is carried out at the end of the training and again after a few months to measure progress and the impact on work practice.
  • Real Data :
    • Use of real customer data in practical activities and simulations, allowing trainees to apply their knowledge to real scenarios in their daily lives.
  • Simulation Activities :
    • Simulation of real scenarios, where participants make decisions based on the data provided.
    • Role-play sessions in which trainees present the results of their analyses to their peers.
  • Evolution Monitoring :
    • Follow-up meetings with the client to assess the impact of the training and discuss any needs for improvement.