Actions
Take action on the results uncovered by Enterprise Insights to recognize immediate value.
Gain invaluable insights into your unstructured data to identify risks, redundancies, and outdated, trivial information. Use these insights to take action (data tiering, migration, or deletion) to cut unnecessary storage costs, enhance cloud migrations with strategic intelligence, and decrease investment in additional data security technologies.
Take Strategic Actions on Data Insights to Reduce Cost & Risk
Tier Data
Organize data into hot and cold storage tiers based on content type, usage frequency, and other factors to achieve cost savings, enhance security, and simplify access.
Migrate Data
Utilize the tool to migrate data within your environment securely and effortlessly.
Delete Data
Delete files securely and defensibly while automatically maintaining a documented chain of custody.
The Value of Enterprise Insights + Actions
Discover the Classify360 platform, which delivers immediate value by integrating Enterprise Insights with Actions. Enterprise Insights reveals key details about your unstructured, dark data, identifying risks, redundancies, and outdated information. Combined with Actions capabilities—such as data tiering, migration, or deletion—this approach guides your next steps in data management, including data cleanup, storage updates, or migration projects.
Securely analyze PBs of unstructured data across on premises (NAS & object) and cloud (files/objects & SaaS) sources by harnessing the power of the platform’s rapid insights and auto-discover technologies, which can reduce data identification times by 1,000%
Quickly identify key client data attributes for cost savings, risk mitigation, and business impact with simple to consume dashboards and drill down capabilities.
Seamlessly take action (migrate, tier, or delete) on classified data sets to ensure its properly protected, optimally stored, and most effectively serving the business.
Outcomes Delivered from Enterprise Insights + Actions
70% reduction in Tier 1 NAS & backup costs by migrating inactive file data to archive
20% reduction in both Tier 1 NAS and in Backup software/hardware costs by deleting file copies and snapshots older than 31 days
Eliminated 70% of “bad data” from AI tools – copied the right production file data with zero risk
The Congruity360 Suite of Products
Powered by the Industry-Leading Classify360 Platform
Instant Insights | Enterprise Insights | Actions | Comply360 |
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Identify
INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
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Sources | Data Center or Cloud Sources | Data Center & Cloud Sources | Data Center & Cloud Sources | Data Center & Cloud Sources |
Data Volume | 3-day surface scan | Unlimited | Unlimited | Unlimited |
Analyze
INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
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Analysis Level | File & Folder Level Properties | File & Folder Level Properties | File & Folder Level Properties | File & Folder Level Properties |
Classify
INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
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Data Classification Capabilities | – | – | – | Content-Level via Machine Learning |
Review
INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
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Review | Document Review | Document Review | Document Review | CDM Hub |
Remediate
INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
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Remediation Actions | – | – | Tier, Migrate, Delete |
Pricing
INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
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Pricing Model | Get started for free | Annual Subscription | Annual Subscription | Annual Subscription |
Single Tenant Hosting
INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
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Single Tenant Hosting Available | Public Cloud | Public Cloud | Public Cloud | Public & Private Cloud |
Frequently Asked Questions
Data classification is the process of analyzing structured or unstructured data and organizing it into categories based on file type, contents, and other business rules or priorities.
Sensitive data analysis is a model that determines which data is risky for your organization on a content level. The level of “risk” is relative to the parameters your organization determines are relevant to its business, industry, and regulatory best practices.
Machine learning (part of artificial intelligence) is a field of inquiry devoted to understanding and building methods that ‘learn’, that is, methods that leverage data to improve performance on some set of tasks. Your favorite media streaming apps use supervised machine learning to let you influence your likes and dislikes; they learn your preferences and adjust their suggestions accordingly. Similarly, Classify360 allows users to guide classification parameters and learns from those corrections. The more data users classify, the smarter Classify360 becomes.
Dark data is the information assets organizations collect, process, and store during regular business activities, but generally fail to use for other purposes. Holding onto unneeded data increases the risk associated with a data breach and robs organizations of valuable time and monetary budget needed to maintain this irrelevant, risky data. Through the classification process, dark data is brought to the forefront; decision makers can effectively delete or securely store it, reducing risk and increasing organizational efficiency.
You can classify data based on any terms your business considers a priority. Context is a popular way to classify data because it allows you to identify specific elements of documents such as social security numbers, credit card numbers, other Personal Identifiable Information (PII), and other content-level items.
Data classification identifies stale and sensitive risk data, enabling you to better protect sensitive data or securely dispose of stale data. Data classification provides clear insight into what data your organization has collected over time, reducing the risk and impact of a data breach and ensuring ongoing compliance. Security and risk platforms produce better output when classification is the first step in the data management process, as they ingest accurate, up-to-date data that is properly tagging and classified.