P58 - Aplicación de ciencia de datos en una veterinaria

Application of Data Science in Veterinary Practice

Introduction to the Research

• Alberto introduces his research on applying data science and artificial intelligence (AI) in a veterinary clinic named LB, focusing on real-world application of management concepts.

Overview of LB Veterinary Clinic

• LB is a veterinary clinic that sells pet food, supplies, and provides health services for animals, with its main office located in San Miguel de Tucumán and 11 branches across Tucumán province.

Research Problem Statement

• The study addresses the lack of a solid value proposition aligned with organizational strategy at LB, emphasizing the need for data tools to identify patterns and trends crucial for decision-making.

Objectives of the Study

• The general objective is to utilize data science and AI tools for processing and analyzing information to validate LB's value proposition. Specific objectives include:

• Ensuring relevance of provided information.

• Applying data analysis tools for deeper understanding.

• Integrating AI as a support tool for information collection.

Key Concepts in Value Proposition

• Alexander H. Walder defines value proposition as the central offer that provides significant differentiation from competitors.

• DJ Patil and Jeff Hammerbacher describe data science as collecting, cleaning, analyzing, and visualizing data to gain insights; while AI involves creating machines that can think like humans.

Methodology Employed

• A mixed-method approach was used with concurrent dominant quantitative design; techniques included interviews with company staff conducted both in-person and via online platforms like Google Meet.

Insights from Interviews

• Interviews focused on three fundamental pillars: attributes, customer relationships, and prestige/image—essential elements according to Norton Kaplan’s framework for value propositions.

Development of Value Proposition

• A preliminary value proposition was developed after analyzing interview responses:

• High-quality products at competitive prices aimed at easing financial commitments related to pet care.

• Personalized attention from professional staff who take time to understand client needs.

Customer Experience Focus

• Emphasis on creating an enjoyable shopping experience where each visit is informative and stress-free; aiming for customer satisfaction throughout their journey in-store.

Survey Implementation Challenges

• Conducting surveys posed challenges due to question formulation; poorly designed questions could hinder analysis. Google Forms were utilized for ease of access during this process.

Data Analysis Techniques Used

• Multiple correspondence analysis and comparative analysis were applied as analytical tools providing solid foundations for decision-making based on collected data insights.

Conclusion & References

• Alberto concludes by thanking the audience while referencing various authors whose works contributed significantly to his research findings.