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About Data Mapping

Data Mapping is a software platform from Privado AI that supports the visualization and organization of data structures. It combines data lineage tracking, schema mapping, and change rules so users can effectively manage data flows and ensure compliance with regulations. This platform is designed to help organizations understand relationships between datasets, enabling better decision-making and risk management. Specifically, Data Mapping facilitates integration with various data sources and offers intuitive mapping interfaces for users. Key capabilities: data lineage visualization schema enforcement impact analysis change tracking integration with data catalog tools Best for: data analysts and compliance officers that need to map and manage complex data relationships.

Data Mapping Details

Vendor
Privado AI
Year Launched
2020
Location
Headquarters New York, New York Headquarters, US
Deployment
cloud
Training Options
videos, demo
Countries Served
All Countries
Languages
English
Users
privacy leaders, privacy teams, enterprises
Industries Served
Healthcare, Education, Government
Tags
data mapping, dynamic data maps, privacy, RoPA, code scanning, web scanning, app scanning, third‑party scanning, AI agents, data flow diagrams, real‑time alerts, privacy

Data Mapping's In-App Market Place

Does Data Mapping have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($)

Pros & Cons

  • Automated scanning of codebases and APIs eliminates the need for manual questionnaires.
  • Real-time dynamic maps give visibility into sensitive data flows across applications.
  • AI agents fill blind spots in data mapping, reducing compliance gaps.
  • Auto-categorization of personal data (health, financial, location) improves accuracy in risk detection.
  • Continuous monitoring ensures maps stay updated as systems evolve.
  • Initial configuration can be complex for organizations with fragmented data environments.
  • Documentation lacks depth, requiring trial-and-error for advanced features.
  • Customer support response times vary depending on subscription tier.

Data Mapping's Support Options

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