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How ML Powers Data Access Governance with Immuta & Databricks

If data isn’t accessible for real-time analytics, is it still valuable? Immuta’s native Databricks integration avoids this dilemma by using ML to streamline data access governance, and deliver analytics-ready data quickly and securely. For Databricks users leveraging Immuta, ML drives sensitive data discovery, dynamic access control, and consistent policy enforcement.

Garbage in, Garbage Out – How We Got Here and Why We Must Get Out Now

This whitepaper, “Garbage in, Garbage Out – How We Got Here and Why We Must Get Out Now,” from our friends over at Profisee, reflects on why the state of data in most organizations is as dismal as it is, and why there is such a challenge involved in demonstrating the value of trusted data available across mission-critical operations and analytics in an enterprise.

Garbage in, Garbage Out – How We Got Here and Why We Must Get Out Now

This whitepaper from our friends over at Profisee, reflects on why the state of data in most  organizations is as dismal as it is, and why there is such a challenge involved in demonstrating the value of trusted data available across mission-critical operations and analytics in an enterprise.

Data Governance: Lessons Learned from the Front Lines

In this contributed article, Ken Arnold is Analytics Manager at Covenant HealthCare, says there’s no question that a strong data analytics foundation is critical in today’s healthcare ecosystem. If your organization is considering adopting a data governance capability to support your analytics efforts, keep these best practices in mind to ensure that your data is consistent, accurate and trusted across the entire organization.

Four Ways Bad Data is Bad for Business

The infographic below from our friends over at Collibra outlines four ways bad data can be bad for business: wasted time; failed business intelligence initiatives; strategic missteps; botched priorities; and how organizations can avoid this bad data trap through strategies such as data governance and data catalog to make the most out of their BI initiatives.

erwin Unveils New Data Governance Software

erwin, Inc., the data management experts, premiered its new data governance (DG) solution. erwin DG is a SaaS solution that expands data governance beyond IT, so all organizational stakeholders can discover, understand, govern and socialize data to mitigate risk, improve organizational performance and accelerate growth.

Dataguise Delivers Strong Level of Support for GDPR Right of Access and Erasure Requirements with Enhanced Product Suite

Dataguise, a leader in data-centric audit and protection (DCAP) software, announced support for General Data Protection Requirement (GDPR) Article 17 (Right to Erasure or Right to be Forgotten) and Article 15 (Right of Access by the Data Subject) in the company’s next generation DCAP software suite. The latest version of the machine learning powered solution is compatible with all popular enterprise and cloud data store environments and widely deployed by the Global 2000 in support of GDPR requirements.

GoodData Launches Advanced Governance Framework

GoodDataⓇ is taking a leadership role in elevating the industry standard of governance to new heights by adding an advanced governance framework to its Enterprise Insights Platform.

Data Governance Secrets, Revealed

Our friends over at data governance provider Collibra prepared the infographic below containing some great survey insights on this evolving role of the CDO, including what’s working for them in their Data Governance journey and what are some of the challenges they face.

Hortonworks Advances Global Data Management with Hortonworks DataPlane Service

Hortonworks, Inc.® (NASDAQ: HDP), a leading provider of global data management solutions, announced Hortonworks DataPlane Service (Hortonworks DPS), a service that reimagines and automates delivery of the modern data architecture. Hortonworks DPS makes it simple to provision and operate distributed data systems no matter the use case, whether for data science, self-service analytics or data warehousing optimization.