NOW Privacy

Operations Improve Data Quality and Remove Risk Before a Data Migration

Understand what legacy data you have, where it is, and how old it is. Reduce storage costs, increase scalability, and accelerate digital transformation by finding and fixing your data before you migrate.

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Benefits of NOW Privacy for Strategic Operations — Minimize costs, improve data quality and reduce risk


Storage cost reduction by removing high-risk information


Of risk reduction by removing sensitive information accurately


ROI from the precision to classify or separate critical data

Gain A Complete View Of All Your Data Sources In One Place

Drill into each item and use data visualizations to quickly establish what is business critical and what can be removed before you migrate. Find the duplicated, redundant, obsolete, and trivial information that can be archived or deleted and the high-risk or sensitive information that needs to be kept on-premise.

Find Sensitive And Legacy Information Hidden In Your Unstructured Data

Identify risk quickly using a pre-built search and use document previews and metadata summaries to review the data in a file quickly. Search for toxic and risky unstructured information such as encryption keys and highly sensitive data. Use the Similar Files feature to identify related or duplicated documents that need to be secured or removed prior to migration.

Identify The High-Risk Areas In Your Data At Scale

Use the pre-built but configurable dashboards and drill into the content details using the graphs to explore standard or enriched metadata, filtering by low, medium and high risk. Gain quick oversight of the documents and files that contain significant amounts of sensitive or critical information which need to be encrypted or kept on-premise prior to your migration.

Locate Your Most Corporate Sensitive Information Before Migration

Establish which data stores are holding large volumes of PII and understand the sensitive subjects and topics most referred to in your organization’s unstructured data. Identify risky or sensitive information stored in unexpected data stores that need to be categorized or archived.

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