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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Protect, understand and unlock your data with Snowflake and Collibra

Collibra

Snowflake’s platform enables organizations to seamlessly analyze and securely share data throughout the business. However, even when your data is all in one place, it still requires visibility, control, understanding and security. Data governance with Snowflake and Collibra. Data masking and policy enforcement .

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go. As a result, look for more automated compliance solutions to hit the market. Historically, moving legacy data to the cloud hasn’t been easy or fast.

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EUROPE: e-Privacy Regulation – changes regarding electronic communications and digital marketing

DLA Piper Privacy Matters

On 26 July 2019, at the level of the Council, the Finnish government has issued a revised (Council) proposal for the e-Privacy Regulation with some amendments concerning electronic communication content, data & metadata, and further processing of metadata. 6 – all electronic communications data (content and metadata); Art.

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How to achieve enterprise-scale data reliability

Collibra

Data is everywhere. And at every point data gets created, processed, or used in your organization, its quality is at risk. The impact of data quality on businesses is thoroughly analyzed, and Gartner quotes the organization level average of $12.9 What is predictive data quality? How predictive data quality works.

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From the CTO: From Information Governance to Information Asset Management

Everteam

We need to change our thinking from a pure information governance perspective – which today is very much about risk mitigation – to one that is more focused on the value side of the coin and on helping corporate users understand the quality and business value of the corporate information assets they try to use.

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#ModernDataMasters: Henrik Liliendahl, Chairman & CTO, Product Data Lake

Reltio

Henrik Liliendahl is an MDM and PIM expert; speaker and blogger ( www.liliendahl.com and [link] ) and the Co-Founder, Chairman and CTO of Product Data Lake a product information exchange service. But that was my route into data management and going from there into MDM PIM and data governance. Kate Tickner, Reltio.

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