Understand Your Data Footprint
Quickly find and assess data risks across your entire business. No spreadsheets required.
A Modern and Scalable Approach to Data Mapping, Discovery, and Intelligence
Manual surveys and spreadsheets are incomplete and immediately out-of-date. And they're not integrated with privacy software, making risk assessments, ROPAs, and PIAs difficult.
Today's privacy landscape is complex enough. Modern privacy programs require efficient and dynamic data discovery that flexibly connects to data sets and AI models, offers centralized control, and enables privacy use cases such as data subject rights fulfillment, security controls, records of processing, and risk assessments.
Get a DemoFast, AI-Powered System Discovery
Automated discovery across 400+ platforms. Use DataShyre connectors to directly access your SaaS apps and internal data systems, leveraging our APIs to ensure disparate systems are distilled up to an intelligible, centralized view.
DataShyre's 4-phased discovery approach dives deep into your data, providing granular insights from the system level down to individual cells. This continuous monitoring and analysis ensures you're always aware of where personal data resides and how it's being processed.
See data at an attribute level in a central location, with always-on updates as new data is added in each respective system, so you can make decisions without moving data.
Map Consumer Data and Risks Across the Business
No parallel data lakes; manage controls from a central interface. Let your data stay where it is, while you make decisions in a central policy engine — including data formats like masking and tokenization, and enabling purpose-based access control.
Spot risks before they become problems. With visibility down to the cell level, you can assess and mitigate data risks comprehensively, ensuring robust data protection across your entire organization.
Create Records of Processing Activities (ROPA) reports with a few clicks, streamlining regulatory compliance requirements and giving you a clear view of how personal data flows within your organization.
With better data discovery, reducing breach risk and lowering discovery cost in the event of a breach.
Over traditional, manual survey-based data discovery.
DataShyre is simple, automated and cost effective
Get a DemoNative Integration With Privacy Tools
Ensure your data subject requests (DSRs) are thorough and precise. DataShyre's data discovery capabilities make it easy to locate every relevant piece of information, leaving no gaps in your response.
DataShyre's data mapping doesn't just find your data — it powers your risk assessments by automatically populating them with precise, up-to-date information. This means you can skip the manual data collection, saving time and ensuring your initial risk evaluations are both accurate and comprehensive.
DataShyre Data Mapping is more than a map — it's your personal data command center. Use built-in tools for managing action items, tracking tasks, sharing documents, and resolving questions. Prioritize and document every step of your privacy workflow, ensuring everyone stays aligned and informed.
Data Mapping FAQs
What is data mapping?
Data mapping is the process of connecting data fields from one system to corresponding fields in another. For instance, customer names, emails, and purchase history in a CRM are mapped to corresponding fields in a marketing platform, ensuring accurate data transfer for targeted campaigns or analysis.
What are the steps of data mapping?
The steps of data mapping are: identify data sources, define data fields, match fields between systems, transform data if needed, and validate accuracy.
Do I need data mapping software?
If you manage large volumes of personal or sensitive data, data mapping software helps you track data flows, stay compliant, and respond to privacy requests efficiently. It's essential for privacy programs and reducing regulatory risk.
What is data discovery and classification?
Data discovery involves surveying databases and file servers to locate data that could potentially contain sensitive and regulated data. Data classification involves categorizing the different types of data pulled from the discovered sources, through a predetermined set of patterns, keywords, or rules.
How do you use data discovery in your business?
Data discovery requires a five-step process: begin with a clear purpose; combine data from relevant sources; integrate data from various sources; clean and organize data for analysis; and relay insights to your organization through visual presentations.
Who uses data discovery software to secure data?
Organizations that handle large quantities of data across a multitude of datasets use automated software and tools. Businesses that need to comply with government or industry regulations such as GDPR and CCPA use data discovery to locate and identify sensitive business data, personal information, customer data, or protected health information.
What do data discovery and classification tools do?
Data discovery tools allow you to select specific business users and provide a code-free environment for data discovery, allow access to various data sources, promote visual and comprehensible data representations, provide options for sharing insights with other members of your organization, and foster a seamless integration of data preparation and analytics.
Why choose DataShyre for discovery and data security needs?
DataShyre automates the arduous and complicated process of data discovery through the scanning of internal data systems, classification of data sets through machine learning, and centralization of data governance policies using no-code/low-code software and interfaces.
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