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Description
Crossary empowers teams involved in integration and migration by transforming specification documents from both source and target into meticulously reviewed, actionable data-mapping workbooks. By simply uploading specifications in various formats, including Excel, PDF, CSV, JSON, XML, XSD, SQL, or YAML, Crossary efficiently extracts an inventory of fields from each document and generates a proposed mapping for every target field based on the source.
Each row in the proposed mapping details its rationale, including the suggested source, the type of mapping, direct quotations from your documents, the underlying reasoning and assumptions, as well as the AI's self-assessed confidence level—serving as a helpful indicator rather than a definitive guarantee. In instances where no suitable mapping is identified, Crossary opts for transparency by marking that row as an honest gap accompanied by a clarifying question, emphasizing that incorrect mappings can be more detrimental than simply acknowledging a lack of fit.
You retain full control throughout the process, with the ability to review, modify, accept, or reject each proposed row, followed by a validation step that performs a deterministic check on structural aspects and key semantics, such as type compatibility and cardinality, while noting that this is not a comprehensive correctness verification. This approach ensures that your integration process is both informed and precise, allowing for a seamless transition from source to target.
Description
Legal and engineering departments are leveraging Opsware to integrate privacy processes throughout their organizations, making it easier to adhere to contemporary privacy regulations. There's no need for coding, allowing you to remove the cumbersome tasks associated with creating data maps and overseeing vendors. Our efficient data discovery and classification solutions help you swiftly identify data sources. Rely on our automation technology to handle customer data requests and consent modifications seamlessly across all data systems and vendors. Unify your teams with a single tool and workflow to monitor personal data movement within your organization, thus operationalizing compliance and enhancing risk visibility. We simplify the creation of processing records, enabling you to complete this task with just one click. Your organization's data remains under your control at all times. Deploy our virtual appliance on-premises to guarantee that personal data stays within your secure environment. In today's world, every business prioritizes data, and personal data collection is part of that equation. With Opsware, you can streamline your operations and enhance your privacy practices more effectively than ever before.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Google
HubSpot CRM
HubSpot Customer Platform
JSON
Jira
Mailchimp
Microsoft 365
Microsoft Azure
Microsoft Excel
Integrations
Amazon Web Services (AWS)
Google
HubSpot CRM
HubSpot Customer Platform
JSON
Jira
Mailchimp
Microsoft 365
Microsoft Azure
Microsoft Excel
Pricing Details
$99/month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Crossary
Founded
2026
Country
Portugal
Website
www.crossary.com
Vendor Details
Company Name
Opsware
Country
United States
Website
www.opsware.co
Product Features
Product Features
Data Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification