Description
Discover how Novacomp executed a comprehensive assessment and established a formal data governance baseline for the Customer domain at a leading company in the retail and food service sector in Peru. Through a rigorous methodology based on international standards, the organization successfully connected the purely technical vision of data platforms with a strategic model of ownership, policies, and responsibilities, laying the foundation for a measurable, controlled, and sustainable information management framework.
What will you discover in this document?
By reading this success story, you will learn about:
- The data management challenge in retail: The issues arising from the absence of a formal governance structure, the lack of key roles (such as Data Owners and Data Stewards), and the existence of critical gaps in corporate metadata cataloging.
- The diagnostic methodology based on DAMA-DMBOK 2.0: The operational approach used to evaluate the organization’s maturity across multiple dimensions (quality, integration, security, and architecture) through stakeholder interviews and reviews of existing workflows.
- The identification of gaps and asymmetries: The analysis that quantitatively determined a -3 point gap in Data Governance and Metadata Management, proving that the primary challenge was not technological, but rather one of formalization and ownership.
- The supporting technical architecture: The ecosystem implemented on AWS, detailing the use of AWS Glue for incremental pipeline processing, and optimized storage in Amazon S3 in Parquet format via queries with Amazon Athena.
- Results and the roadmap: The documentation mechanisms delivered to formalize policies, data contracts, and traceability, transforming the technical understanding of data into a strategic business advantage.