This case study gives an overview of how we supported a trading company in the assessment, the roadmap establishment and the implementation of a data governance program across all its entities.
- Data Quality Management
- Master Data
- Data Governance Assessment
- Data Catalog
- Data Governance Program
- Trading Company
Key Challenges
Our client is an international trading company. They wanted to become more data-driven and evolve from a system-centric to a customer-centric approach. Their main goal was to generate more value out of their data and have a common understanding of processes and data throughout all countries and entities.
Therefore, our client was looking to:
- Implement a centralized and standardized data framework including processes, responsibilities and data definitions
- Get a common understanding and processing of master data for implementing a customer centric approach
- Align a centralized data strategy to the operating model
- Improve data quality with a focus on customer and product data
Go further by reading our article
Data Governance Fundamentals
Our Approach
In order to meet our client’s challenges we:
- Started with a Data Governance Maturity Assessment to assess the current state of its Data Governance through interviews with selected stakeholders
- Defined the operating model and general governance policies
- Classified all the data domains and data elements
- Established the operating model with designation of new roles and board
- Implemented the new Data Governance program including the required tools
- Established the data-relevant processes and procedures especially with regards to data quality management, data definition and master data management
- Implemented a data awareness centralized space where all information and communications are shared internally
The Benefits
This project allowed our customer to benefit of:
- An operational Data Governance program including clear data responsibilities and standardized processes
- A clear Data Governance roadmap including priorities and recommendations for the top management, which is continuously rolled out
- Tools selection and implementation supporting all relevant Data Governance disciplines with focus on data quality and master data management
- Ready to use Data Governance knowledge base with principles and trainings
- An harmonization of master data especially for customer, product and supplier data
- A data quality optimization tracked via dedicated data quality scorecards
- Data Lineage combining all relevant source systems
Technologies & Partners
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