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Data governance — Data management — Technology

Data Management Seminar: A Hands-On Approach to Data Administration - An Instructional Manual

Attend a session with data specialist Peter Aiken, PhD, where he offers actionable tactics to strengthen or establish your data governance framework by emphasizing organizational congruence, recurring enhancement, and data-driven narrative.

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Learn from data specialist Peter Aiken, PhD, as he unveils effective tactics to establish or...
Learn from data specialist Peter Aiken, PhD, as he unveils effective tactics to establish or Strengthen your data governance system by concentrating on organizational consistency, ongoing enhancement, and value-centric narrative communication.

Practically Focused Data Governance: A Guide to Success

Data Management Seminar: A Hands-On Approach to Data Administration - An Instructional Manual

Effective data governance (DG) is vital for managing data with clarity and aligning it with your organization's strategy. This presentation by Peter Aiken offers a practical approach, focusing on crucial elements and seamlessly integrating them with other data management disciplines.

Crucial Components of Data Governance

  1. Real-World Focus: DG should be grounded in practical application, ensuring it delivers tangible results in everyday scenarios.
  2. Organizational Importance: Positioning DG alongside HR shows its significance and promotes its integration into core operations.
  3. Step-by-Step Implementation: Gradually infusing elements into your DG program encourages continuous improvement and adaptability to evolving needs.
  4. Value-Driven Storytelling: Engaging, value-focused narratives keep DG alive and valued, underscoring its impact on the organization.
  5. Data Transformations: Being aware of how data transforms during the analytics process is fundamental for effective DG[1].

Harmonizing with Other Data Management Practices

Data governance collaborates closely with other data management disciplines, such as data modeling, data quality, and data security. By working in tandem, it fosters an organization-wide understanding and management of data throughout its lifecycle.

Delving Deeper into Peter Aiken's Program

Peter Aiken's program equips participants with an all-encompassing guide to improving or reinvigorating DG programs. It underscores the complications surrounding data management and the challenges organizations face when navigating this intricate landscape. Additionally, the program emphasizes the importance of aligning DG with other data management practices to ensure a cohesive framework that supports organizational objectives[1][2].

Additional Learning Resources

For further insights, you can consult the "Practical Strategies for Augmenting Data Governance Programs" webinar, which offers actionable DG enhancement strategies[1]. Pursuing data modeling techniques can also provide a more profound understanding of data structuring and management practices within an organization[3].

In the Practically Focused Data Governance guide by Peter Aiken, the implementation of DG is suggested to be value-driven and collaborative, working in harmony with other data management practices like data modeling, data quality, and data security, utilizing techniques in data-and-cloud-computing to foster a cohesive approach for effective data management and data governance. The guide also emphasizes telling engaging narratives to promote the significance of DG within the organization and demonstrating its impact, ensuring its alignment with the strategies of the organization and evolving needs, hence solidifying data governance as a crucial component of the organization's technology-driven approach.

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