Full Resource Library

How to Govern the Lifecycle of Information [GDPR Step 14]

The General Data Protection Regulation (GDPR) requires that organizations make data access and/or deletion easily available for data subjects. This requires companies to manage information lifecycle management (ILM), from creation through disposal, including consolidating data fragmented across systems.

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How to Govern Analytical Models [GDPR Step 12]

Analytical models feed off customer profiles to predict future behavioral patterns. The introduction of the General Data Protection Regulation (GDPR) requires ensuring that these do not interfere with the rights of data subjects. Learn how to make sure your organization is compliant.

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How to Stitch Data Lineage [GDPR Step 11]

Due to the General Data Protection Regulation (GDPR), organizations have to focus on data lineage of subjects, and track personal data through systems. By understanding lineage, organizations can tell who, when, and which system caused data to change, increasing data quality and security.

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How to Improve Data Quality [GDPR Step 10]

The General Data Protection Regulation (GDPR) pushes organizations to establish controls that allow data subjects to address personal information quality issues in a timely manner. Automated solutions and self-servicing tools can make it easy.

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How to Establish Data Masking Standards [GDPR Step 7]

The General Data Protection Regulation (GDPR) recognizes that some personal data can reveal a person’s identity, while other data may be processed or stored in a way that keeps the identity confidential. Data masking is an important part of GDPR compliance.

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How to Confirm Data Owners [GDPR
Step 3]

In the context of General Data Protection Regulation (GDPR), data owners are accountable for the quality, integrity, and protection of the data they own. Establishing data owners is an important step for GDPR compliance.

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How to Manage End-User Computing [GDPR Step 13]

The General Data Protection Regulation (GDPR) addresses the security of the processing personal data. This requirement for data protection also applies to end-user computing (EUC) applications. Companies need to convert to another automation system or manage data protection within an EUC app.

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Pillars to GDPR Success: Data Access and Portability (5 of 5)

The GDPR gave consumers more rights to own their own data, and part of those provisions require organizations to provide access at any time. The final pillar of our 5 Pillars to GDPR Compliance philosophy is providing data access and portability, as a means to respect the data subject’s rights.

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Preparing for GDPR

The General Data Protection Regulation (GDPR) is a European Union regulation that will take effect on May 28, 2018, and failure to comply with GDPR can expose your organization to a penalty of up to 4% of global revenue. Get all the details and resources you need to make sure your organization is prepared for GDPR.

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GDPR: A quick way to reduce scope

This webinar shows you how to anonymize data from any pipeline or dataset, on the cloud or on premises. Whether you are a business user or an IT specialist, you can use Talend to protect personal data from unauthorized access.

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What is Master Data Management?

Master data management (MDM) is a method of enabling an organization to always work with—and make decisions based on—one version of current, ‘true’ data. Discover how it benefits a business, what challenges to plan for, and how to get started.

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Data Quality Tools

With the free to download, free to use data quality tools in Talend Open Studio for Data Quality, you can gain valuable knowledge about the current condition of your organization's stored data.

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