New for 2022!

Modernizing Data Governance for Utility Companies

We need to start with the ABCs of modern governance — Agile, Big Data, and Cloud. Each of these has been in the mainstream for several years, yet most data governance organizations cling to practices of the past. Data governance needs to ensure strategies continue to be aligned with the evolving business goals while also adapting to the realities of today’s data management practices.

Recently, self-service analytics and self-service data preparation have challenged the old governance methods. Traditional data governance focuses on enforcement of policies and rules using rigorous controls and gates. While controls and enforcement continue to be needed, they must be complemented with support for the autonomy and agility of the self-service world. Enforcement works together with prevention. Guides and guardrails reduce the need for gates. The need to exercise controls is minimized when curating, coaching, crowdsourcing, and collaboration are integral parts of governance processes. In the modern data world, every data stakeholder plays a part in data governance

We need to start with the ABCs of modern governance — Agile, Big Data, and Cloud. Each of these has been in the mainstream for several years, yet most data governance organizations cling to practices of the past. Data governance needs to ensure strategies continue to be aligned with the evolving business goals while also adapting to the realities of today’s data management practices.

Recently, self-service analytics and self-service data preparation have challenged the old governance methods. Traditional data governance focuses on enforcement of policies and rules using rigorous controls and gates. While controls and enforcement continue to be needed, they must be complemented with support for the autonomy and agility of the self-service world. Enforcement works together with prevention. Guides and guardrails reduce the need for gates. The need to exercise controls is minimized when curating, coaching, crowdsourcing, and collaboration are integral parts of governance processes. In the modern data world, every data stakeholder plays a part in data governance

Lead by:

Independent Consultant and Educator

You Will Learn:

  • Where governance fits within modern data ecosystems at utility companies from point of ingestion to reporting and analysis
  • How various technologies support governance through the ecosystem
  • Process challenges for governing self-service; supplementing controls with collaboration and crowd sourcing
  • Engagement models for governing self-service and enabling business success
  • Organizational challenges for governing self-service; moving from data stewards to stewardship, curation, and coaching
  • Operational challenges for governing self-service; implementing a combination of gates, guardrails, and guides

Who Should Attend?

  • Data governance professionals of all types
  • Data stewards and data curators
  • Business and technical leaders implementing and managing self-service data and analytics
  • Business and technical leaders who see current data governance practices as barriers to agility
  • Chief Data Officers and other executives responsible to shape data culture
  • Everyone with a role in modernizing data governance or an interest to know how and why data governance must change