Need For Data Strategy & Governance
Data strategy and governance are essential to managing data effectively and responsibly. Data strategy refers to an organization's overarching plan or roadmap to leverage data as a strategic asset. It outlines the goals, objectives, and methodologies for managing, analyzing, and utilizing data to achieve business objectives.
Data governance refers to the framework, policies, processes, and controls to ensure effective organizational management, quality, usability, security, and data compliance. Data governance promotes transparency, accountability, and trust in data-driven decision-making. It reduces risks associated with data misuse, helps organizations meet compliance requirements, and enhances data integrity and reliability.
In summary, data strategy focuses on leveraging data to achieve business objectives, while data governance ensures that data is managed, protected, and used responsibly throughout its lifecycle. Both are crucial for organizations looking to derive value from their data assets while maintaining trust and compliance.
We will work with your organization to establish and maintain the integrity of your organization's data:
Data Stewardship
- We will work with you to develop a structure and oversight necessary to manage your data assets effectively and responsibly throughout their lifecycle by assigning roles and responsibilities to individuals or teams within your organization to oversee data assets' management, quality, security, and usage. We will select data stewards to act as data custodians, ensuring they are properly managed and utilized in alignment with the organization's goals, policies, and standards.
Data Standards & Policies
- Establish guidelines, specifications, and conventions that define how data should be structured, formatted, stored, and exchanged within your organization. These standards will ensure consistency, interoperability, and quality across different systems, processes, and datasets.
Data Quality & Governance
- We will use data quality and governance as interdependent concepts, understanding how essential they are to your organization's ability to manage and leverage your data assets effectively. We will work together to implement robust data governance practices and processes so that your organization can establish a foundation for maintaining high-quality data that is accurate, reliable, and trustworthy.
Data Lifecycle Management
- Create a structure to manage your data from its creation through its usage, storage, and ultimately its disposal or archival, ensuring its integrity, availability, security, and compliance. Collaboratively, we will develop and implement policies, processes, and technologies to manage your data consistently and efficiently throughout its lifecycle while addressing data governance, security, compliance, and privacy requirements.