Unlock the power of data lineage to gain unparalleled insight and control over your data’s journey, ensuring compliance and driving informed decisions.
Swiftly locate, track, and understand data using an extensive metadata glossary.
Ensure data accuracy and facilitate compliance by understanding the flow of your data throughout the organization.
Harmonize reporting across your organization through a centralized metadata system.
Streamline metadata management tasks and free up time for more strategic endeavors.
Enhance decision-making with a comprehensive understanding of data origin, pathways, and transformations.
Foster strong communication and collaboration across different teams by employing data lineage.
Improve data reliability by understanding its origin and transformations to rectify errors.
Ensure adherence to stringent data regulations by adopting transparent data handling and processing practices.
Trace data across your organization, ensuring transparency and minimizing data quality risks.
Trace data across your organization, ensuring transparency and minimizing data quality risks.
Streamline data tracking across systems through automation, reducing manual effort and errors.
Receive customized solutions in collaboration with top-tier data management platforms such as Ataccama and Informatica.
Employ AI to automatically scan systems and capture crucial lineage information.
Receive intuitive visual representations of data lineage to facilitate easy analysis and comprehension.
Safeguard sensitive data with role-based access control and adherence to privacy regulations.
Evaluate the potential consequences of changes in data structures or procedures to facilitate informed decision making.
Clearly outline the goals of your data lineage initiate and determine what you aim to achieve with the implementation of data lineage.
Conduct a comprehensive assessment of your current data infrastructure, including databases, data warehouses, data lakes, and data pipelines.
Select the appropriate tools and technology platforms that align with your objectives and can effectively capture, manage, and visualize data lineage.
Define policies, procedures, and responsibilities for managing data lineage, including data stewardship, data quality management, and compliance requirements.
Employ AI to automatically scan systems and capture crucial lineage information.
Create visual representations of data lineage to enhance understanding and facilitate analysis.
Ensure that data lineage information is accurate and reliable, so insights can be used to identify and rectify data quality issues.
Provide training and involve relevant teams across your organization in the data lineage process.
Implement data lineage in phases to manage complexity and minimize disruptions to ongoing operations.
Regularly review and refine data lineage mappings to ensure accuracy and relevance over time.
Implement controls and processes to track and trace data lineage for compliance purposes.
Encourage collaboration, transparency, and accountability in data management practices across the organization.
Our client, a major automotive manufacturer, needed help to simplify their self-service development process, help data owners take responsibility for their data products, and unite their enterprise architecture management and data governance.
We deployed a data mesh architecture and guided the client on their data strategy, culture, governance, and tech stack to reshape the data landscape. With this data mesh, the client experienced the following benefits:
decision-making in sales
sustainability is ensured
data governance framework
Our client, a multinational pharmaceutical and biotechnology company, needed help transitioning from their legacy system to a modern Azure architecture. They were looking for a framework that could describe the migration process and continually help them discover data and understand data lineage.
We implemented a data ingestion readiness framework that facilitated a seamless Azure Cloud migration. With this partnership, the client achieved the following results:
data sources assessed
migration roadmap delivered