Data Governance is often on top of the Chief Data Officer’s agenda. With the advent of the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA), the China Personal Information Protection Law (CPIPL) and others, companies are taking a closer look at their data practices.
Beyond the need for regulatory compliance, our clients are voicing others concerns, such as:
“Data governance is important; We need to make sure our data access and data manipulation is transparent on-premises and in the cloud.”
“We have challenges with our business intelligence capabilities: our consumers question the data they see. We need to trace back the data source and the steps the information went through (data lineage).”
“We don’t know how to prove the regulator that our threat model is sufficient to protect the services running on the cloud, which access to our data.”
Can we have a pragmatic approach to this vast subject when it has so many different meanings to people? Are we talking about data security, data ownership, data life cycle management, transparency and control, or just all of the above?
How do we address data governance in highly regulated industries such as financial services, translating the regulations into the public cloud realm?
Do you have similar concerns? If these questions resonate with you, meet with us at the FintechNZ Hui (Booth 10) or get in touch with us.
