Data Management
From Discovery Through Automation
Centralize data management by rapidly identifying, normalizing, and classifying data across on-prem and cloud sources – allowing you to protect data that strengthens a business and remediate the data that weakens it.
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Understand the makeup of your data landscape
Optimized storage utilization and spend
Improved data security posture
Centralized, automated data management
Understand the makeup of your data landscape with rapid discovery-led analysis
Our discovery-led approach delivers both file property and content-level insights into the makeup of your entire data estate – most importantly your dark, unstructured data. You’re provided a snapshot of your data sources pinpointing risk, redundant, and aged data – allowing you to prioritize next steps for your data management and security initiatives.
End-to-end data management through discovery-led analysis
Optimized storage utilization and reduced spend
Optimize utilization of on-premises and cloud resources by identifying redundant and rarely accessed files to be deleted or moved to inexpensive cold storage, preserving prime storage tiers for relevant, frequently accessed data.
Disposing of or moving this redundant and stale data based on business rules and retention requirements eliminates unnecessary IT spend and generally reduces storage costs by 50%.
Reduced data risk profile, improved security posture
Identify and defensibly delete unnecessary data that falls outside of retention requirements, is redundant, or holds no business value to reduce your risk exposure and the size of your attack surface.
Identify PII and sensitive data and take defensible actions to remediate risk and improve security posture like moving remaining exposed risk data to secure storage, encrypting sensitive data, or tagging data for your DLP platform to optimize performance and protection.
Centralized, automated ongoing data management
Achieve and maintain an ongoing state of data management with precise classification, owner-driven remediation, and policy automation. Put retention policies into practice by applying workflows to both existing and newly created data to keep your environment continuously classified & compliant.
The CDM Hub empowers individual data owners across the business to make decisions about the data they own and take defensible and automated action – expediting the implementation and execution of a universal data management strategy.
End-to-end data management through discovery-led analysis
Centralize data management by rapidly identifying, normalizing, and classifying data across on-prem and cloud sources. The CDM Hub within our platform allows data owners to take defensible and automated action on their data, yielding true ongoing data management. Continuous classification brings real-time intelligence to every business decision.
Leverage the Classify360 platform’s autodiscover capabilities to quickly identify file and folders at the source for analysis & classification.
Leverage the Classify360 platform’s reporting to analyze file and folder-level properties to classify:
- Risk indicators
- Stale files
- Obsolete files
- Trivial files
- Redundant files
Classify enterprise data according to shared business qualities or characteristics via content-level machine learning, uncovering data strengths and exposing data weaknesses through simple classification workflows, including:
- Document-level training
- Compliance risk
- Industry risk
- Corporate risk
- Sensitive personally identifiable information (SPII)
- Duplicate analysis
Reinvent data management with the CDM Hub, which gives data owners throughout the business the ability to make decisions about the data they own. Leverage built-in workflows that support business drivers like privacy regulations, industry guidelines, and common retention policy timelines.
Remediate classified data to ensure it’s properly protected, optimally stored, and most effectively serving the business by executing the following defensible actions:
- Delete
- Inject
- Tag
- Encrypt
- Archive
- Preserve
- Migrate
Your business requirements drive the automation schedule for processing, analyzing, and actioning cycles. Consider this your “easy button” for defensible policy automation.
Healthcare
Data Management Success Story
Following a breach, this national healthcare organization leveraged data classification to identify & remediate risk within unstructured data and launch an ongoing data management & governance strategy to meet compliance mandates.
