AVON building a digital future with trusted data
AVON, a global leader in cosmetics, relies heavily on data to track product sales, monitor performance, and maintain business operations. However, data governance efforts in the past were fragmented, with ad hoc initiatives focusing on specific systems or integrations. This approach lacked a holistic strategy, making it difficult to ensure data consistency, quality, and control across the organization. AVON needed a comprehensive solution that could integrate business and technical metadata, establish clear data ownership, and enhance data quality across multiple platforms.
To address these challenges, AVON implemented a unified data governance strategy, leveraging a robust data catalog and data quality framework. This approach enabled them to:
- Collect and integrate both business and technical metadata to create a single source of truth.
- Establish clear data ownership and governance rules across systems.
- Implement data quality rules at multiple levels, ensuring consistency and accuracy.
- Utilize profiling capabilities to assess data health and identify potential issues.
- Introduce observability features based on data quality dimensions, providing a comprehensive view of data performance.
- Enhance data lineage tracking to facilitate root cause analysis and issue resolution.
- Leverage AI-driven classification to categorize and secure sensitive data, improving compliance and security.
With these capabilities in place, AVON has transformed its data governance approach, ensuring that data is controlled, monitored, and leveraged effectively. The integration of observability, lineage, and AI-powered classification has streamlined compliance efforts while enabling better decision-making. By treating data as a strategic asset, AVON has adopted a “data factory” approach, ensuring seamless data management and supporting ongoing business success.
Siloed, ad hoc data quality efforts by IT failed to deliver full visibility and control over business-critical data.
Unified business and IT teams using Ataccama’s data catalog, data lineage, and data quality tools to create a centralized data factory.
Established a structured, collaborative approach to data governance, improving data visibility, quality, and compliance.
AVON, a global leader in cosmetics, relies heavily on data to track product sales, monitor performance, and maintain business operations. However, data governance efforts in the past were fragmented, with ad hoc initiatives focusing on specific systems or integrations. This approach lacked a holistic strategy, making it difficult to ensure data consistency, quality, and control across the organization. AVON needed a comprehensive solution that could integrate business and technical metadata, establish clear data ownership, and enhance data quality across multiple platforms.
To address these challenges, AVON implemented a unified data governance strategy, leveraging a robust data catalog and data quality framework. This approach enabled them to:
- Collect and integrate both business and technical metadata to create a single source of truth.
- Establish clear data ownership and governance rules across systems.
- Implement data quality rules at multiple levels, ensuring consistency and accuracy.
- Utilize profiling capabilities to assess data health and identify potential issues.
- Introduce observability features based on data quality dimensions, providing a comprehensive view of data performance.
- Enhance data lineage tracking to facilitate root cause analysis and issue resolution.
- Leverage AI-driven classification to categorize and secure sensitive data, improving compliance and security.
With these capabilities in place, AVON has transformed its data governance approach, ensuring that data is controlled, monitored, and leveraged effectively. The integration of observability, lineage, and AI-powered classification has streamlined compliance efforts while enabling better decision-making. By treating data as a strategic asset, AVON has adopted a “data factory” approach, ensuring seamless data management and supporting ongoing business success.
