Big Data in the Cloud
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Insurance companies are increasing their reliance on more rich and varied datasets to manage and operate their businesses.
Insurance companies are no strangers to managing data and computer systems and some of the first computers were installed at banks and insurance companies to automate their processes. Over time massive investments have been made in physical data centres, software licence purchases, disaster recovery and data protection measures. Outages can cost companies millions in lost revenue and reputational damage.
Investments in computer capacity have traditionally been of a capital nature. Big data has increased the demands on companies to invest in new hardware and software to cope with the every increasing volume and speed at which data is being received and the need to analyse it.
In response, many companies are considering making use of cloud computing solutions, where both hardware and software can be “hired” on demand for as long as these resources are needed.
This sessional will explore the privacy and security concerns with reference to sensitive health insurance data by expiring the following topics
- Regulatory framework (POPI, GDPR and HIPAA)
- Data governance
- Attribute-based access control
- Classification of data by identifiability and sensitive content (PII, QPI and non-PII)
- De-identification tenchniques
- Re-identification risk for some data
- Tracking and auditing data use
- Mitigating hacking and ransomware threats
We will also consider the approach to assessing the cost implications for moving part or all of your data to the cloud instead of investing in an on-premises big data warehouse.
Presented by:
• Ashleigh Theophanides
• Anton Gerber
• Matt Zylstra
Insurance companies are no strangers to managing data and computer systems and some of the first computers were installed at banks and insurance companies to automate their processes. Over time massive investments have been made in physical data centres, software licence purchases, disaster recovery and data protection measures. Outages can cost companies millions in lost revenue and reputational damage.
Investments in computer capacity have traditionally been of a capital nature. Big data has increased the demands on companies to invest in new hardware and software to cope with the every increasing volume and speed at which data is being received and the need to analyse it.
In response, many companies are considering making use of cloud computing solutions, where both hardware and software can be “hired” on demand for as long as these resources are needed.
This sessional will explore the privacy and security concerns with reference to sensitive health insurance data by expiring the following topics
- Regulatory framework (POPI, GDPR and HIPAA)
- Data governance
- Attribute-based access control
- Classification of data by identifiability and sensitive content (PII, QPI and non-PII)
- De-identification tenchniques
- Re-identification risk for some data
- Tracking and auditing data use
- Mitigating hacking and ransomware threats
We will also consider the approach to assessing the cost implications for moving part or all of your data to the cloud instead of investing in an on-premises big data warehouse.
Presented by:
• Ashleigh Theophanides
• Anton Gerber
• Matt Zylstra