IA from Data Discovery Very Speedy.
Use Cases and Deployment Scope
We do need personal data classified as LGPD and GDPR, and the lost databases and data were discovered that needed to be used in artificial intelligence for classification. We install a product that is much more important to us than a simpler data discovery with the power of sensitive personal and personal data for data classification.
Pros
- Connect the user to various data sources such as cloud services.
- A data tool must use geolocation capabilities to facilitate location-based analysis.
- Collaboration present in data discovery tools.
Cons
- AI needs to be improved to avoid manual reclassification.
- Non-intuitive interface.
- Lots of security details that make connecting to a more complex data source.
Most Important Features
- IA
- Data discovery.
- Data Mapping.
- Data classification.
Return on Investment
- Fast compliance.
- Power data discovery.
- Collaboration team.
Alternatives Considered
Collibra Data Intelligence Cloud, Informatica Data Privacy (secure@source) and IBM Cloud Pak for Data (formerly IBM Cloud Private for Data)
Other Software Used
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data), IBM InfoSphere Information Analyzer, IBM StoredIQ Suite
