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Data Governance for the Digital Age — Part 3: A Collaborative Data-Driven Culture



collaborative approach


Without an intentionally-built and guided data-driven culture, a decentralized model will unravel. Creating a collaborative approach that centers on data availability hinges on five key points:

  1. Establishing culture from the top:  leadership must set the tone and clearly communicate the vision of the data-driven organization.

  2. Creating and supporting data governance roles and responsibilities can signal leadership’s appreciation of the value of data. But flipping the switch will be difficult.

  3. Setting up ongoing data literacy training programs can improve the effectiveness of your teams as they gain technical skills and strengthen communication through a common lexicon.

  4. Starting with short-term data initiatives that can yield tangible results for data users within the organization, instead of enforcing wholesale changes all at once. These early converts can become change agents going forward and help your organization to transition.

  5. Leveraging technology that fosters collaboration can reinforce the decentralized data governance structure.

Points 1 and 2 above focus on leadership communication, implementation of organizational structure, and operating models that enable data democratization while maintaining strong collaborative control.

Point 3 establishes elements for supporting your organization through training – specifically in terms of data literacy and technology skills so more individuals can be relied upon in your data governance operating model. When your teams can speak a common language, they will collaborate more effectively in things like data quality control and data flow orchestration.

Points 4 and 5 discuss how technology should support the decentralized IT model of a data-ready organization. We will discuss these tech related points in Part 4: Technology for Democratized and Collaborative Data Governance

This article was part of the “Data Governance for the Digital Age” series:

Part 1: A Paradigm Shift 

Part 2: Organizational Structure, Evolving Roles and Responsibilities for the Digital Age

Part 4: Technology for Democratized and Collaborative Data Governance 

About BaseCap Analytics: BaseCap’s Data Quality Manager is a data quality control platform that supports a collaborative data governance. Its intuitive user interface allows non-technical individuals to be data stewards. With no user limit and customizable permission levels, an organization can leverage the Platform to address all data issues across all its teams.

Contact us to see how the Data Quality Manager will become a critical component your organization’s data governance program.