This thesis explores the strategic role of data management and standardization in enabling effective Customer Relationship Management (CRM) implementation plan within multi-company environments. Focusing on Morato Group, a leading European bakery firm, the study addresses challenges arising from fragmented systems and inconsistent data standards following rapid acquisitions. Through a qualitative approach, it integrates theoretical frameworks on data governance, integration, quality, and master data management with CRM principles. Using methodologies such as Kaizen, 5S, Poka-Yoke, and Scrum, the project achieved the standardization of over 2,000 product and 4,600 customer records, creating a unified master data model and a CRM pre-implementation roadmap. The economic feasibility analysis of the CRMs confirmed a positive ROI and operational improvements. Results demonstrate that structured data management is not merely a technical requirement but a strategic enabler of digital transformation, fostering integration, informed decision-making, and sustainable competitiveness within complex industrial organizations.
This thesis explores the strategic role of data management and standardization in enabling effective Customer Relationship Management (CRM) implementation plan within multi-company environments. Focusing on Morato Group, a leading European bakery firm, the study addresses challenges arising from fragmented systems and inconsistent data standards following rapid acquisitions. Through a qualitative approach, it integrates theoretical frameworks on data governance, integration, quality, and master data management with CRM principles. Using methodologies such as Kaizen, 5S, Poka-Yoke, and Scrum, the project achieved the standardization of over 2,000 product and 4,600 customer records, creating a unified master data model and a CRM pre-implementation roadmap. The economic feasibility analysis of the CRMs confirmed a positive ROI and operational improvements. Results demonstrate that structured data management is not merely a technical requirement but a strategic enabler of digital transformation, fostering integration, informed decision-making, and sustainable competitiveness within complex industrial organizations.
Data Standardization and Management: a Use Case Development in ‘Morato Group’ Customer Relationship Management System
TODESCO, FRANCESCO
2024/2025
Abstract
This thesis explores the strategic role of data management and standardization in enabling effective Customer Relationship Management (CRM) implementation plan within multi-company environments. Focusing on Morato Group, a leading European bakery firm, the study addresses challenges arising from fragmented systems and inconsistent data standards following rapid acquisitions. Through a qualitative approach, it integrates theoretical frameworks on data governance, integration, quality, and master data management with CRM principles. Using methodologies such as Kaizen, 5S, Poka-Yoke, and Scrum, the project achieved the standardization of over 2,000 product and 4,600 customer records, creating a unified master data model and a CRM pre-implementation roadmap. The economic feasibility analysis of the CRMs confirmed a positive ROI and operational improvements. Results demonstrate that structured data management is not merely a technical requirement but a strategic enabler of digital transformation, fostering integration, informed decision-making, and sustainable competitiveness within complex industrial organizations.| File | Dimensione | Formato | |
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DATA STANDARDIZATION AND MANAGEMENT A USE CASE DEVELOPMENT IN ‘MORATO GROUP’ CUSTOMER RELATIONSHIP MANAGEMENT SYSTEM.pdf
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2.83 MB | Adobe PDF |
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https://hdl.handle.net/20.500.12608/94084