How familiar are you with the term “Data Governance”? If your job duties fall under the world of Cloud Security, data governance is imperative to the success of your security risk efforts.
Data governance is an enabling framework of decision rights, responsibilities, and accountabilities for data assets across the enterprise.
Your organization’s value streams and their associated business capabilities require effectively governed data. You may experience elevated operational costs, missed opportunities, eroded stakeholder satisfaction, and exposure to increased business risk without this. Put simply, data governance acts as the bridge between accountability and ethics where technological advancements are concerned. With any contemplation for a new security system comes the question of complexity. How involved could the implementation of this process end up? Data governance is about data being explainable, transparent, and ethical. Below, we have provided a few key steps to take when determining the right data governance strategy for your business:
- Align your data governance with enterprise governance, business strategy, and the organizational value streams to ensure the program delivers measurable business value.
- Understand your current data governance capabilities and build out a future state that is right-sized and relevant.
- Define data governance leadership, accountability, and responsibility.
- Ensure data governance support by an operating model that effectively manages change and communication and fosters a culture of data excellence.
When thinking about your data governance implementation plan, one place to start is to determine the employees who will act as the Leadership Team on data governance. Put simply, data governance needs a leader and a home. Once you define who will be leading, driving, and steering data governance in your organization, you can achieve business and IT alignment, collaboration, and formally defined roles around data leadership, ownership, and stewardship.
A traditional structure includes committees and roles that span across strategic, tactical, and operational duties. There is no one-size-fits-all data governance structure. However, most organizations follow a similar pattern when establishing committees, councils, and cross-functional groups. Most organizations strive to identify roles and responsibilities at a strategic and operational level. Several factors will influence the program’s structure, such as the focus of the data governance project and the maturity and size of the organization.
Data governance is essential for any organization that makes decisions about how it uses its data. Data governance can be executed according to agreed-upon models that describe who can take what actions with information, when, and methods. However, if done correctly, data governance is NOT meant to solve all data-related business or IT problems, nor is it an inhibitor or impediment to using and sharing data.
To close, remember that a healthy data culture is key to amplifying the power of your organization’s data. In essence, a data-driven culture demonstrates to your clients and employees that data DOES matter to the company. Therefore, decisions are not made based on gut instinct, but upon concrete data evidence. Data often has untapped potential. A data-driven culture builds tools and skills, builds users’ trust in the condition and data sources, and raises the data skills and understanding among their people on the front lines.