Keep what matters with File Analysis
Stop archiving information you don’t need. File Analysis filters information at scale, so you retain what’s valuable and get rid of what isn’t.
Imagine classifying only the high-value information you need
Capturing and archiving redundant or trivial data and information is not only costly, it affects your ability to find what you need when you need it. File Analysis gives your organization a powerful capability to filter out any information you identify as low-value and unnecessary.
Through the emails, chats, and documents of everyday work, your organization produces volumes of information, and much of it does not need to be retained. File Analysis lets you provide input on what information is not worth keeping—a certain file or media type, for instance—so you can be sure only the highest value information proceeds to classification. Information management file analysis maintains the integrity of your records, at the scale at which you operate.
Maintain the integrity of your records classification at scale
Stop the rot
Leverage the power of automated content analysis to manage unstructured data as it flows into your information management pipeline, and keep redundant, outdated, and trivial information from being classified.
Clarify and sharpen your enterprise search by reducing the amount of noise and clutter in your information ecosystem.
In addition to filtering unnecessary information, File Analysis conducts automated content analysis to scan for sensitive information and affix the appropriate metadata.
File Analysis ensures only the right the information is retained
The amount of information that flows through your enterprise is staggering. File Analysis moves at the speed and scale of your organization to oversee that only the high-value information you have identified proceeds to classification.
With automated content analysis managing unstructured data, you can be sure that personally identifiable or payment card information is instantly captured and tagged for appropriate classification, so you can achieve compliance.
How does File Analysis help your records classification at scale?
File Analysis is a pivotal checkpoint that conducts analysis of data as it flows from your applications and repositories to your Azure-hosted Records365. By managing unstructured data, File Analysis filters out the unwanted, trivial, or redundant information you have identified, uses automated content analysis to scan for sensitive information, and applies metadata to assist with classification.
Acting as a gatekeeper, File Analysis streamlines the classification process by filtering out low-value and unnecessary information, and by enriching information it identifies as sensitive to ensure its appropriate classification. Information management file analysis refines the data flowing through your pipeline, so you can classify and store only what matters most.
Classify more accurately, from end to end
Achieving records classification at scale depends upon the strength of your entire intelligent information management pipeline. File Analysis sits between the Connector Framework, which brings data and content forward for classification, and the Intelligence Engine, which leverages AI and machine learning for exacting auto-classification. Automated content analysis receives data as it flows through the pipeline, then filters and enriches it in support of final classification.
Your organization creates content and collects data all over the place. Connectors work with your organizational systems to securely pull information from everywhere it resides, and ensure all content is captured for analysis of data.
Unlock the power of machine learning and AI to help you connect, classify, and secure your information consistently and reliably at scale.
Get a better handle on your information security
Don’t leave crucial compliance-level information management decisions up to different individuals. Information management file analysis and other Records365 solutions help you securely and accurately identify and classify information, dispose of sensitive information in designated timeframes, and quickly and effectively search and retrieve records for legal evidence across your organization.
Governments and business alike are seeing the power of managing unstructured data
Increasingly, organizations are turning to automated content analysis to assist with records classification at scale. With the vast quantities of data that enterprises are confronted with, and the increased need to handle and manage sensitive data properly and compliantly, information management experts are unlocking the power of automation to filter content for classification and to ensure that any sensitive information is properly identified and classified.
Save space and time with information management file analysis
Filtering your information flow with automated content analysis allows you to store less information and find records faster. File Analysis reduces significantly the information you need to classify and improves search in the process, removing all the unwanted noise, so you can find the information you do need, fast.
Expand your information management horizons
Get expert insights on a host of information management topics, including:
- Achieving records classification at scale
- Managing unstructured data
- Implementing automated content analysis
- Increasing compliance through AI analysis of data
- Leveraging information management file analysis
Curious how intelligent information management can work for you?
No matter where your enterprise information resides, in cloud applications or on-prem systems, you can connect data and content from across your organization into one centralized view to manage information singularly and efficiently. Find out how you can take better control of your information to reduce costs and achieve compliance.