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Core Data Governance Principles for Every Organization

How can all data stakeholders within an organization be on the same page when addressing different data-related decisions? Every organization has its own needs and requirements for data governance. Data Governance principles can help organizations establish a robust data framework for guiding decisions, managing data lifecycle, and aligning with their data goals. The focus of…
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8 Data Minimization Practices for Reducing Enterprise Data Footprint

Data minimization has become a critical area of focus for businesses today. In simple terms, data minimization is limiting or restricting the collection, storage, and processing of only the data necessary for running business operations. In addition to reducing the risk of privacy breaches, data minimization can help enterprises save costs.  However, the fact remains…
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Top 5 Reasons How and Why Data Governance Programs Fail

Data governance can boost data goals and efforts to drive overall business strategy. Conversely, poor data ethics can significantly damage a business or organization in today’s data-driven market economy. Unfortunately, many enterprises are still failing with their data governance programs. Why does this happen? This article will look at the top five reasons and areas…
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Protecto Extends Partnership with Snowflake for Advanced Data Privacy and Governance

Joint Protecto and Snowflake customers can audit cloud data for security and privacy risks across data, user permissions, and activities hassle-free with advanced automation     Protecto brings artificial intelligence and privacy engineering to Snowflake, the Data Cloud company, so that joint customers can identify data protection issues before data breaches and customer trust violations occur. Data…
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Seven reasons why you shouldn’t ignore DataGovOps

The role of DataGovOps is to provide enterprises with continuous governance and improved compliance spanning the data lifecycle. Here are six reasons why ignoring the implementation of DataGovOps can be counter-productive to your business goals and efforts. Bad business decisions – The accuracy and integrity of data can lead to bad business outcomes and hurt…
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What is DataGovOps? Why is it relevant today?

DataGovOps is a relatively new concept that effectively applies a DataOps-like approach to enable the safe use of enterprise data at scale. The role of DataGovOps is to provide enterprises with continuous governance and improved compliance spanning the data lifecycle. Manual processes in governance are time-consuming, error-prone, and often crippled with inefficiencies. DataGovOps uses a…
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Delivering Good Data Governance – Key Considerations

 With the current data economy, organizations want to enable ubiquitous data for their workforce. Growing privacy regulations and increasing data security threats influence how you enable and govern your organization’s data. Figuring out the right data governance model is, therefore, something that organizations have to get right. At its simplest form, data governance aims to…
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Data Governance Best Practices

Data governance has become essential to enable and protect data in today’s data-driven organizations. As three Vs of data – volume, variety, and velocity – continue to grow, data governance has become complex. Here are some of the factors that can help you launch and run a successful data governance program. Privacy, Security, and Compliance…
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Considerations to Deliver Good Data Governance

With the current data economy, organizations want to enable ubiquitous data for their workforce. Growing privacy regulations and increasing data security threats influence how you enable and govern your organization’s data. Figuring out the right data governance model is, therefore, something that organizations have to get right. In its simplest form, data governance aims to…
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Is Your Data Governance Ready for Privacy? A Quick Assessment

This short self-driven assessment evaluates foundational data governance blocks needed for data protection. Please answer these questions with Yes, Partial, or No. Do you track data storage location as part of your data map? Have you mapped and identified sensitive data? As part of data mapping, do you audit if data sources are secured and…
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