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Who are the stakeholders that influence the decisions and how are they involved? Who is involved in making business decisions? Are decisions made unilaterally? To develop that understanding it can be helpful to consider questions such as: In order to implement adaptive data and analytics governance, organizations need to understand how their data citizens use data. Building a framework for adaptive data and analytics governanceĪdaptive data governance empowers efficient decision making. With a flexible and action-oriented approach to data governance, data governance is no longer a dirty word to business users organizations can be nimble even under the face of constraints. Protect against data breaches and other data incidents.Improve production inventory efficiency.Optimize sales and marketing efficiency.
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Reduce IT operations and maintenance costs.Optimize promotions and marketing campaigns.Identify new customers and market opportunities.There are three major categories of use cases that adaptive data and analytics governance supports: Adaptive data and analytics governance is beneficial because organizations can tackle offensive use cases while ensuring compliance and minimizing risk. Traditional data governance focuses on protecting the business, but organizations need to leverage data for more than just defensive needs. What are the benefits of adaptive data and analytics governance? Therefore, adaptive data and analytics governance expands the use and applicability of traditional data governance, promoting flexible decision making and business outcomes. Therefore, adaptive data governance expands the use and applicability of traditional data governance, promoting flexible decision making and business outcomes. Gartner’s Judah and Remzah illustrate the juxtaposition of traditional and adaptive data and analytics governance in Figure 1 below. Adaptive data governance allows organizations to balance constraint and liberty while navigating through change. Teams that embrace adaptive data and analytics governance understand that business situations change frequently and governance approaches must accommodate those changes. Unlike traditional data governance, adaptive data and analytics data governance is flexible and dynamic. This creates rigid organizational practices that leave companies unable to adapt to changing circumstances, be those market disruptions or new regulations. Traditional data governance supports a single-style, command-and-control approach to governance. But a narrow focus on compliance limits the impact that data governance can make. Many organizations often don’t even consider establishing a formal data governance practice until they realize their vulnerabilities to regulations such as GDPR, CCPA, and BCBS 239. Traditional data governance centers on compliance and regulation. In order to bring business value, data governance must be flexible to meet the changing needs of the organization and all its team members. Data professionals who embrace adaptive data and analytics governance understand that data governance impacts the entire business, not just data programs. What makes adaptive data and analytics governance different?Īdaptive data and analytics governance represents a transformation in the ways organizations use and benefit from data governance. Adaptive data and analytics governance recognizes that data governance is about more than just constraint and compliance adaptive data and analytics governance is about using data governance to drive business value. But what is this term, “adaptive data and analytics governance,” that has gained more traction in recent years? In their report Adaptive Data and Analytics Governance to Achieve Digital Business Success, Gartner analysts Saul Judah and Remi Guzar talk about adaptive data and analytics governance, an approach that helps enterprises remain relevant and respond to rapidly-changing environments within and outside their organizations. Data governance is a linchpin for data programs it is the practice of managing and organizing data and processes to enable collaboration and compliant access to data.