Webcast : ER/Studio Enterprise Team Edition

Maintaining data governance during fast changing conditions can be challenging, but it is essential to ensure data quality, security, and compliance. Here are some strategies to help maintain data governance during times of change:

• Adaptability: Develop a flexible data governance framework that can adapt fast to changing conditions. This includes having clear policies and procedures in place that can be updated as needed, as well as incorporating feedback from stakeholders to address new challenges.
• Communication: Establish clear channels of communication among stakeholders, including data owners, data users, and data governance teams. Regular communication helps keep everyone informed about any changes to data governance policies and procedures, ensuring a seamless transition during periods of change.
• Continuous monitoring: Implement continuous monitoring of data quality, security, and compliance to identify potential issues early on. This allows for timely intervention and helps maintain governance standards even during fast changing conditions.
• Training and education: Provide regular training and education to employees on data governance guidance, policies, and procedures. This ensures that all team members are aware of their responsibilities and can adapt to changes in data governance requirements.
• Automation: Leverage automation tools, such as data quality and data lineage solutions, to minimize manual efforts and maintain data governance standards during times of change. Automation can help reduce errors, improve efficiency, and ensure consistency in data governance processes.
• Risk management: Assess and manage risks associated with data governance during changing conditions. Identify potential risks, evaluate their impact, and develop mitigation strategies to ensure data governance remains effective.
• Collaboration: Foster a collaborative environment among different teams within the organization to ensure a unified approach to data governance during periods of change. Encourage cross-functional collaboration to address challenges and share guidance.
• Leadership support: Secure firm support from organizational leadership for data governance initiatives. This helps ensure that data governance remains a priority during times of change and that adequate resources are allocated to maintain governance standards.

Everything is changing right now. We see evolving systems to suit our changing world, we have exciting new data platform products, we are moving data platforms to the cloud, and data warehouses and data lakes are becoming more valuable. Not only do we need to make these changes quickly and with minimal risk but we need to make sure we have considered the implications on our data and the rules that apply to them. We then need to publish what data we make available, where is it and what rules apply to it. In this session we will see how ER/Studio helps manage and migrate our data all classified against a business glossary and allows Data Architects to work within a collaborative ecosystem with other groups and tools.

Speaker: Jamie Knowles is a senior product manager at IDERA, and has been in the field of architecture and modeling for over 20 years. Jamie has been involved with the evolution of enterprise architecture, data modeling, and data governance and seen its challenges and achievements. He has worked in product management and in the field within the banking, finance, and energy industries. – See more at: https://www.idera.com/resource-center/webcasts/maintaining-data-governance#sthash.oe26YzKl.dpuf