IOT Collaborative - Digital Innovation – Strategy, Process and Governance
November 1, 2018
Ray Henry
Ahuja College of Business
Cleveland State University
Beyond the Codes_Repositioning towards sustainable development
IoT and Data Governance
1. IoT and Data Governance
Ray Henry
Department of Information Systems
Cleveland State University
2.
3.
4. Governance
• Ensures that stakeholder needs, conditions and options
are evaluated to determine balanced, agreed-on
enterprise objectives to be achieved
– setting direction
– prioritization
– decision making
– monitoring performance and compliance
8. Domains of Data
Governance
Data Principles
Role of data as an asset
Data Quality
Requirements for data
quality
Data Lifecycle
Retention and
retirement
Meta Data
Semantics and data definition
Data Access
Requirements for data access and
security
9. Asking the Right
Questions
• Who owns the data?
• How do we ensure data quality, discovery, usability and security for the
many different teams and business units that create, use and manage the
data?
• What are the key business questions and goals that are driving what data
we collect and use?
• How do we manage ad hoc data analytics? Do we restrict it or encourage
it?
10. IoT Data Governance
Pitfalls
• Not considering all stakeholders needs
• Underestimating security and privacy implications
• Too much or too little control