Each process within the organisation needs to be owned, defined and governed. Having a Process Owner enables effective management of adherence to the process. The owner in collaboration with the Data Governance Committee (discussed last month) is responsible for formulating, communicating and monitoring a policy for the given business process. Other business areas may have a supporting role, but the Policy Process Owner has the focus.
The detailed elements of the day to day responsibility for data is delegated to a team of Data Stewards, each of whom looks after a mutually exclusive set of data, with a dotted-line report to the relevant Data Owner and the Data Consumers with respect to the quality of data within the files or databases in which the Consumer requires.
The have responsibility to:
- Maintain and oversee the quality of a specific set of data resources on behalf of Data Owners.
- They are the experts in understanding what ‘good quality’ means for this data
- Each in-scope data element will be the responsibility of one Data Steward, and each Data Steward will report to one Data Owner for the purpose of Information Governance.
- Example of a responsibility of a Data Steward
- Carrying out regular monitoring of data quality using the reports and dashboards provided.
The Owner of data or information bears ultimate responsibility for the security, quality and lifecycle management of the data within their specific subject area (e.g. Finance, Risk, Customer and Product). He / she also formulates the data requirements and policies for data collection and use.
Any individual or department which; creates, updates or deletes data. As such, every data producer is responsible for the quality of data within the parts of the source systems to which they have access, but they may not be accountable for it.
Example; responsible for entering customer address details, are not accountability for the accuracy of the data provided to be entered.
The recipient of data or of information created from data. The consumers take the end product created from the data and use it for purposes such as planning, forecasting and decision-making.
The end result may be regular reports produced from the operational computer systems without manual intervention; information processed by a Business Intelligence function (e.g. using modelling or forecasting techniques); or information from either of these sources which is subject to manual cleansing processes to remove systemic errors.
The consumer knows what to expect in terms of quality, but may not know whether a delivered report is of suitable quality or what data is used in creating it. If consumers do find errors, they are likely to place the blame on the data users even though the root cause may be further down the data process chain.
Consumers should know who to go to, to resolve errors.
What are your views on these roles and the importance of their responsibilities?