Maturing Your Organization’s Information Risk Management Strategy
TDWI Speaker: David Loshin, President of Knowledge Integrity
Date: Tuesday, March 30, 2021
Time: 9:00 a.m. PT, 12:00 p.m. ET
Organizational growth is often accompanied by increased sophistication in adopting automation technologies and broadening the information management landscape. As organizations grow, they face more risks associated with the security and protection of sensitive data. Organizations struggling to navigate the different stages of business need to be sensitive to the increasing maturity necessary to support increasing demands for data governance and information risk management.
For example, the limited staff members of a start-up may be able to enforce data protection guidelines, but as the team size grows, they will need to handle different access control methods for different data analytics workloads that fulfill different business needs along that growth trajectory.
For companies with just an on-premises architecture, data governance and data policy management are often an IT-driven initiative, satisfied using coarse-grained access policies coupled with some fine-grained access control. However, as enterprises evolve to use hybrid cloud architectures, the complexity of a data landscape that spans multiple environments introduces increased risks to sensitive data. This includes inadvertent data exposure as well as malicious breaches executed by both external and insider agents. This is when data governance and information risk management must become more mature and become an enterprise initiative.
In this webinar, we explore the different levels of information risk and a data governance maturity model and discuss how different business factors drive different needs and capabilities at each stage of the cycle.
Attendees will learn about:
- Four different stages of the maturity curve
- Assessing data sensitivity and classifying data assets
- Access controls and data protection
- Interpreting policies and determining their impact on information management
- Determining the impact of data protection policies on information management practices
- Automating policy compliance auditing
- Maintaining governance consistency across the hybrid data enterprise
Director of Solutions Engineering