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.

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David Reilly: Unlocking the Value of Unstructured Data with Data Dynamics’ Zubin

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Henri Richard: Empowering Users to Manage Data Responsibly with Data Dynamics’ Zubin

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Empowering Data Control and Democratization in the Age of AI

Featured

David Reilly: Unlocking the Value of Unstructured Data with Data Dynamics’ Zubin

Featured

Henri Richard: Empowering Users to Manage Data Responsibly with Data Dynamics’ Zubin

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

Empowering Data Control and Democratization in the Age of AI

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