Enterprise Insights
Gain valuable insights into your unstructured data landscape to identify risky, redundant, outdated, and trivial data. Use this information to cut unnecessary storage costs, enable smarter cloud migrations, and reduce investment in additional data security technologies.
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Actionable Insights on Your Dark, Unstructured Data
Uncover & Eliminate Unnecessary Storage Spend
Identify and eliminate unnecessary storage costs by optimizing on-premises and cloud resources. Locate redundant and infrequently accessed files for deletion or transfer to cost-effective cold storage, freeing up premium storage tiers for important, frequently used data.
Jumpstart Cloud Migrations
Overcome challenges in cloud initiatives by carefully analyzing and understanding your data sets before migration. This will help minimize exploration and cloud costs by ensuring proper utilization.
Reduce IT Investments & Budgeted Spend
Refine your data governance and security strategy by removing unnecessary data copies and the associated storage and protection costs. Focus on safeguarding and prioritizing sensitive and valuable data within your technology investments
Examine available sources and create reports to uncover insights about your unstructured, dark data. The findings will identify risky, redundant, and outdated data, allowing you to prioritize actions such as data cleanup, storage updates, or migration projects.
Leverage the Classify360 platform’s autodiscover capabilities to quickly identify file and folders at the source for analysis.
Leverage the Enterprise Insights reports to analyze file and folder-level properties to classify:
- Risk indicators
- Stale files
- Obsolete files
- Trivial files
- Redundant files
Dive further into your Enterprise Insights reports – review results via document lists and previews.
Enterprise Insights Offers Three Use-Case Driven Insight Analysis Modules
Storage & Migration Optimization
Insight into over 35 file data attributes including systems’ aged, stale, obsolete, redundant, trivial, and types of systems files.
Business Optimization
Insight into and classification by business units’ or cost centers’ aged, stale, obsolete, redundant, trivial, and types of files.
Data Security & Risk Optimization
Insight into files containing PII and SPII, financial, legal, security, and risk data, as well as open shares and other network & storage security vulnerabilities.
The Congruity360 Suite of Products
Powered by the Industry-Leading Classify360 Platform
| Instant Insights | Enterprise Insights | Actions | Comply360 |
|---|
Identify
| INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
|---|
| 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 |
|---|
| 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 |
|---|
| Data Classification Capabilities | – | – | – | Content-Level via Machine Learning |
Review
| INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
|---|
| Review | Document Review | Document Review | Document Review | CDM Hub |
Remediate
| INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
|---|
| Remediation Actions | – | – | Tier, Migrate, Delete |  |
Pricing
| INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
|---|
| Pricing Model | Get started for free | Annual Subscription | Annual Subscription | Annual Subscription |
Single Tenant Hosting
| INSTANT INSIGHTS | ENTERPRISE INSIGHTS | ACTIONS | COMPLY360 |
|---|
| 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.
