Data stewardship is the management and oversight of an organization's data assets to help provide business users with high-quality data that is easily accessible in a consistent manner.
While data governance generally focuses on high-level policies and procedures, data stewardship focuses on tactical coordination and implementation. A data steward is responsible for carrying out data usage and security policies as determined through enterprise data governance initiatives, acting as a liaison between the IT department and the business side of an organization. The role requires a range of both technical and business-oriented skills, including programming and data modeling, as well as acumen in domains such as data warehousing and storage concepts and enterprise strategy. Strong communication and collaboration skills are also prized in data stewards.
There are 4 different types of data stewards for which an organization might have different titles or variants: data object data steward, business data steward, process data steward, and system data steward.
Make a list of all the different types of data stewards and discuss their role in organizations with examples [minimally 2 examples].
Which data stewards do you interact with regularly in your work setting? What is the scope of your relationship?
Full Answer Section
- Business Data Steward:
- Oversees data relevant to a particular business process or domain.
- Understands the business needs for that data and ensures it meets those requirements.
- Example: The data steward for the "sales" process might ensure sales data is accurate and reflects completed transactions.
- Process Data Steward:
- Responsible for the data quality and integrity throughout a specific business process.
- Makes sure data flows smoothly between different stages of the process.
- Example: An e-commerce website might have a process data steward for the "checkout" process, ensuring customer information and order details transfer correctly.
- System Data Steward:
- Manages the data within a specific IT system.
- Focuses on data security, accessibility, and adherence to technical standards.
- Example: The data steward for the company's "Customer Relationship Management (CRM)" system would be responsible for data security and user access within that system.
My Interaction with Data Stewards (as a large language model):
As a large language model, I don't directly interact with data stewards in the traditional sense. However, the data I am trained on is likely curated and managed by data stewards. These stewards ensure the data is high quality and relevant to my training needs.
In a sense, you could say that the data stewards who maintain the vast datasets used for training large language models like me play an indirect role in shaping my capabilities.