Class Hours: 8:00am-5:00PM
Fees:

• UAI Member: $695 before 2/24, $795 after 2/24
• Non Member: $995 before 2/24, $1095 after 2/24

The Utility Industry is evolving and adapting to new regulations, changes in public perception and emerging market opportunities.  Drivers of change include aging infrastructure, opportunities for decarbonization, the need for sustainability, cyber-security, and moving towards green energy. Enabling modern data resources and capabilities to assist with these challenges is critical for success.

The world of data management also continues to change, but data governance doesn’t always keep pace. New governance practices and organizations are needed to be compatible with agile, big data, cloud, and self-service to support the changing business dynamics. Building beyond enforcement to prevention, controls to services and committees to communities are at the core of data governance evolution.

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.

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

Geared to: 

• 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