Assessment, design and strategy - we provide data governance strategy that builds the right steering committee, establishes policies and standards that are aligned with business objectives. Supporting data quality, privacy and integration with effective processes and tools to continually monitor and adjust.

As a third-party facilitator, we work with the Data Governance steering committee to define next steps and execute best practices. This includes identifying data stewards responsible for enforcing data policies and procedures, clarifying data ownership responsibilities, encouraging the development of data quality metrics for ongoing monitoring and improvement, and emphasizing data privacy and security in line with regulatory requirements and customer expectations.

Building confidence in data assets involves creating a framework for data quality and data literacy. This includes the crucial process of data cataloging, which enhances productivity and decision-making by making data easy to find and understand. Moreover, it's important to implement a robust Master Data Management (MDM) program as part of the data governance initiative. MDM ensures that there is a single, trusted source of key business data, further boosting confidence in data assets.

Developing curated data assets with proper controls, clear metadata & documentation, and a framework that allows for competitive advantage.   Data Products require a clear understanding of the producers of data (to understand the nuance of what the data means), consumers of data (to ensure that it's fit for purpose) and the state of business, industry regulation, government regulations, and expectations of other stakeholders.