How do you involve stakeholders in developing a data governance framework?

Identifying Key Stakeholders for Data Governance ? Map all groups impacted by or reliant on data assets ? Include data owners, stewards, users, analysts, leaders ? Consider internal roles needing quality data to function ? Don't overlook external stakeholders like customers and regulators ? Analyze their interests, influence, needs and communication styles ? Prioritize highly impacted or influential stakeholders first ? Interview stakeholders to validate assumptions ? Document stakeholders in a RACI matrix clarifying responsibilities ? Segment stakeholders into categories for tailored engagement ? Continuously update as new stakeholders emerge over time

Even before this, begin by: ? Informing stakeholders about the development of frameworks or other goals and objectives. ? Identifying relevant stakeholder groups. ? Organizing focus groups for brainstorming, feedback collection, etc., for a collaborative approach. ? Assigning specific roles and responsibilities, ensuring accountability & ownership for different aspects. ? Identifying and recognizing expertise of stakeholder groups. ? Addressing the concerns proactively and also enable collaboration and transparency. ? Providing training & necessary resources. ? Continuously monitoring, controlling & improving.

Working with stakeholders, outline the aims and objectives of the data governance program. Determine the framework's scope, including the types of data to be managed, the processes and systems involved, and the desired results. Solicit feedback from stakeholders to ensure that the goals are consistent with corporate aims and meet their individual needs and concerns.

Clarify the roles and responsibilities of stakeholders inside the data governance structure. Define the roles of data stewards, data owners, data custodians, and other stakeholders who manage and govern data assets. Involve stakeholders in talks to ensure transparency and responsibility for data-related actions and choices.

Collaborate with stakeholders to create data governance policies, standards, and guidelines. Define rules and procedures for data classification, access control, data quality, privacy, and regulatory compliance. Involve stakeholders in reviewing and validating policies to ensure they are in line with company demands and regulatory requirements.

Implement the data governance framework with stakeholders to ensure that policies and standards are effectively communicated and enforced throughout the organization. Establish means to monitor and measure the framework's success, such as data quality metrics, compliance audits, and performance indicators. Engage stakeholders in continual monitoring and evaluation procedures to discover areas for improvement and respond to developing concerns or issues.

Regularly analyze and evaluate the data governance framework in collaboration with stakeholders to determine its efficacy and identify areas for improvement. Solicit input from stakeholders on their experiences and issues throughout implementation. Iterate and improve the framework on a continuous basis, taking into account lessons learnt, changes in business requirements, and new regulatory landscapes. Engage stakeholders in the continuous improvement process to ensure the data governance framework's relevance and effectiveness throughout time.

Establishing a data governance framework marks just the beginning - initiatives can quickly lose momentum if the original champion departs. To sustain stakeholder engagement, include data quality metrics tied to C-suite priorities. In marketing, we've succeeded by tracking net-new first-party person records in the CDP and revenue per person record. This combination incentivises acquiring first-party contacts while maximising returns. Diluting revenue with duplicates, orphans or incomplete records becomes undesirable. Aligning data quality to C-level metrics demands organisational focus. Initiatives maintain traction as leaders monitor core KPIs dependent on sound data practices.

Best policies, standards, councils and frameworks will not yield true business engagement in moving the needle on Data Governance. Your business stakeholders have a day job, we need to answer both tactically and strategically, ‘what’s in for them ?’ Active data governance addresses a data governance challenge with an end goal in mind, is a key component of a successful data effort.