Data Owner Empowerment
To View and Act On Their Data
The tides of data governance are shifting. Regulations like GDPR and CCPA empower individuals with more control over their personal information (PII). Organizations now face a crucial mission: data owner empowerment. This means granting individuals the ability to view, understand, and act upon their data. But how can you achieve this with both security and scalability in mind? Zubin, Data Dynamics’ AI-powered self-service data management software is designed to empower data owners and navigate the complexities of data management. This transformation fosters a culture of data ownership, where everyone becomes a data champion, and the organization fulfills its responsibility as a data custodian.
1Comprehensive Data Discovery & Classification
Comprehensive Data Discovery & Classification
For an organization with data scattered across file shares, cloud storage, and data lakes is like a treasure trove with no map. Identifying and classifying sensitive data like PII can be a monumental task. Without this visibility, data owners may be unaware of the data they hold and its potential impact on them.
Shining a Light on the Dark Data with Zubin
Zubin’s advanced analytics capabilities provide a comprehensive solution. By combining metadata analysis with AI-powered content analysis, Zubin accurately identifies sensitive information like PII, even in unstructured data. This deep visibility empowers organizations to understand their data assets fully, mitigate risks, and ensure compliance.
2Granular Data Access Control with RBAC Down to the Owner Layer
Granular Data Access Control with RBAC Down to the Owner Layer
Traditional access controls may limit data owners’ ability to manage access to their data. They may struggle to specify who can access their data, at what level (read, write, edit), and from where.
Putting You in the Driver’s Seat with Zubin
Zubin’s RBAC (role based access control) empowers data owners to maintain strict control over their information. By defining access permissions down to the individual data owner level, organizations can significantly reduce the risk of unauthorized access and data breaches. This level of control is essential for safeguarding sensitive data and meeting compliance requirements.
3Transparent Data Usage & Traceability
Transparent Data Usage & Traceability
Data owners often lack visibility into how their data is being used within the organization. Without this transparency, they may be concerned about unauthorized access or misuse of their data. Imagine a customer uploading a product review containing personal preferences. They have a right to know how this data is being used – is it simply for internal analysis, or is it being shared with third-party vendors?
Know Where Your Data Goes and Take Control with Zubin
Zubin’s data usage & traceability provides unparalleled transparency by tracking data movement across the entire data lifecycle. Data owners gain insights into how their data is being utilized, ensuring it aligns with intended purposes. This level of visibility empowers organizations to optimize data usage, identify potential risks, and comply with data privacy regulations.
4Self-Service Data Classification and Migration
Self-Service Data Classification & Migration
Data owners may lack the technical expertise to classify and manage their data effectively. Relying on IT for data classification can be cumbersome and time-consuming. Imagine a data scientist working on a research project – they need to classify their data as “highly confidential” and migrate it to a secure storage location.
Take Action on Your Data with Zubin
Zubin’s self-service software streamlines these tasks, empowering data owners to take control of their data. With pre-built templates and customizable options, data can be accurately classified and moved to appropriate locations efficiently. This not only saves time and resources but also ensures data is managed in accordance with organizational policies and compliance mandates.
5Data Observability & Root Cause Analysis
Data Observability & Root Cause Analysis
Imagine a financial institution building a credit risk assessment model. If the training data contains errors like incorrect income information or missing loan repayment history, the model might misclassify borrowers, leading to unfair loan denials.
Ensure Data Integrity with Zubin
Zubin’s data observability & root cause analysis provides continuous monitoring of data pipelines to detect anomalies and potential issues. By identifying the root causes of data quality problems, organizations can take corrective actions promptly, preventing negative impacts on downstream processes and applications. This proactive approach ensures data integrity and reliability.
6Data Owner Control and Actionability
Data Owner Control & Actionability
Data owners often lack the technical skills or user-friendly tools needed to effectively manage their data. This can lead to a feeling of helplessness and a lack of control over their data.
Empower Informed Action with Zubin
Zubin provides data owners with the tools and insights needed to take control of their data. With user-friendly dashboards and actionable insights, data owners can easily understand their data assets, assess risks, and make informed decisions. By enabling data owners to initiate actions like data deletion, access restrictions, and migrations, Zubin fosters a culture of data ownership and accountability.
A Closer Look at What Makes Us Stand Out
Features
Enterprise Risk Posture and Infra Usage Business Intelligence and Reporting
Executive dashboards and reports providing risk and data usage analysis across the enterprise, business units, LOBs, and geographies, complemented by action plans and real-time status updates.
Data Risk and Usage Reporting and Actionability by Team and Data Ownership
Metadata Analytics
Content Analytics
Data Classification
Statistical Sampling
Risk Exposure Insights
Data Containment and Isolation
Quarantining of high-risk sensitive data in secure storage, such as file shares on storage resources or object storage buckets, enhancing data security (lock).
Access Control and File Re-permissioning
Data Policy Creation and Workflow
Personalized data workflows
based on corporate governance
and compliance policies.
Data Sharing
Cloud Integrated Risk Controls
Retention Compliance
Data Redundancy
Self-Service Data Classifications and Migrations
Policy-driven automated data movement, including migration, replication, transform & sync, and archiving across various softwares, both on-premises and in the cloud - SMB, NFS, AWS S3 and OneDrive (File to File, File to Object, Object to Object).
Data Archival
File preservation by converting files into object format by archiving while enabling efficient retrieval via software or RESTful API, audit, and legal discovery, and allowing S3/NFS/SMB-compliant access for compatibility and ease of use.
Data Transformation
Facilitates archival, retrieval, and bidirectional conversion (file to object and object to file) with data quarantine capabilities (transform related).
Data Tiering and Placement
Your Data, Your Rules.
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Show You How It's Done!
Zubin in Action
Use cases
Visibility Into Existing Unstructured Data Footprint Across All Data Constituents
Risk Identification of Data Exposure With Actionable Resolution
Privacy Management With Intelligent Data Classification for AI Models
Ensuring Data
Sovereignty Across
Global Data Footprint
Data Owner
Empowerment To View
and Act On Their Data
Storage Optimization
and LCM Across Hybrid
Cloud Infrastructure
Self-Service
Data Classifications
and Migrations
Policy-Based Transfer
of Data Ownership To
Avoid ‘Orphan’ Data
Data Dynamics in the Spotlight
News, events, and articles
Your Guide to What’s Next
Insights, Strategies, and Trends to Keep You in the Know
IDC Spotlight Paper – Rethinking Data Security: Improving Privacy and Compliance with a Shared Approach
From the Heart of the CEO: Zubin, Leading the Future of AI-Driven Self-Service Data Management
IDC Spotlight Paper – Rethinking Data Security: Improving Privacy and Compliance with a Shared Approach
From the Heart of the CEO: Zubin, Leading the Future of AI-Driven Self-Service Data Management
Empowering Data Control and Democratization in the Age of AI
Data Quality: A Persistent and Dynamic, Ever-Evolving Challenge, Not Just a One-Time Fix
Navigating the Ethical Landscape of AI in the Modern Age
Empowering Data Control and Democratization in the Age of AI
Data Quality: A Persistent and Dynamic, Ever-Evolving Challenge, Not Just a One-Time Fix
Navigating the Ethical Landscape of AI in the Modern Age
Do More with Zubin
Related Capabilities