![]() They also work with internal reporting metrics to monitor data quality and identify issues.įinally, as data maintainers, they need to perform corrective measures regularly to fix problems when these issues arise. Obviously, stewards can't watch over every piece of data that passes through your company, so most of this maintenance happens through reporting, either from customers or internally within the company. Data stewards keep your data usable by guaranteeing that it's: Like a field with no farmer, if you have no one maintaining your data, it will eventually become so unruly that it's unusable. If you want to learn more about data stewards, their responsibilities, and their key characteristics, then read on! Data steward responsibilities Guarantee higher efficiency and effectiveness for your data team.Define clear and concise data policies and processes for data governance. ![]() Among several other benefits, a data steward can help your company to: This role is crucial for any company that prioritizes data governance. They will ensure the quality of your data, master data, and metadata throughout the entire data lifecycle. They will also monitor your data processes, suggest new rules, build systems, and resolve data issues. Wrong!Įven after setting up these systems, you'll need a person (or people) who will enforce the principles and processes established by your data governance framework. Some people might think a robust data quality or master data management platform should keep all your facts and figures in check with only the help of business users and IT. What does good / defined look like to the organisation and is there a view as to what timeframe this might take.Once data governance processes are in place, it's easy to assume they'll run themselves. What has worked well, what are the largest challenges. ![]() What size is the current headcount for data governance and data ownership/stewardshipĬould they describe their data governance journey over the last 12 months and what they want to achieve in the next 12. If I was stepping into a data steward function in a new organisation, I'd want to know: As for most cultural shifts in enterprise organisations, this can be a lengthy journey. It needs to be actively supporting the resources needed to actively manage data and ensuring a data centric culture is actively supported and grown. That support needs to be more than "Yes, I agree someone should do this". How fulfilling the role is will be mainly defined on the level of genuine senior support for implementing and improving a data governance framework. Everyone wants the outcomes of an established data steward but not enough people have the understanding and/or willingness to support data stewards in succeeding in their role. Likely acting on behalf of the data owner maintaining the access model and reviewing / approving access requests. Governing data model change within a given data domain - ties back to understanding critical business process and the impact of any change As the data steward, you'd be expected to prioritise DQ activity based on the impact to underlying critical business processĮnsuring all data governance frameworks are adhered to - i.e dealing with data privacy, data ethics and regulatory data requirements DQ errors are the canary for bad / missing process or accountabilityĮnsuring data maintainers remediate data quality deviations. Critical and shared datasets would be top of the list and a significant number of datasets within an organisation may never be documented.Įnsuring data quality rules are implemented to ensure critical data elements meet the required dimensions to support identified critical business processes, Remediation should ultimately prioritise process refinement rather than continual data corrections. Datasets should be prioritised based on impact. The implementation can depend on the organisation but would broadly cover things such as :Įnsuring data is correctly catalogued, critical data elements defined, lineage documented and usage mapped to critical business processes.
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