2022 Trends in Data Governance: Operational Capabilities

In this contributed article, editorial consultant Jelani Harper discusses how for organizations everywhere—regardless of industry, size, or area of focus—data governance has reached a critical inflection point. It has long been established as a vital area of risk management predicated on achieving regulatory compliance, maintaining data privacy, and ensuring ongoing sustainability of data as an enterprise asset.

How Governing Observability Data is Critical to ESG Success

In this contributed article, Nick Heudecker, Senior Director of Market Strategy at Cribl, discusses how observability data comprises the logs, events, metrics, and traces that make things like security, performance management, and monitoring possible. While often overlooked, governing these data sources is critical in today’s enterprises. The current state of observability data management is, at best, fragmented and ad hoc. By adopting an observability pipeline as a key component in your observability infrastructure, you can centralize your governance efforts while remaining agile in the face of constant change.

One Giant Leap Forward for Data Governance

In this contributed article, editorial consultant Jelani Harper discusses how the predominance of cloud computing, the advent of edge computing, the prevalence of the Internet of Things, and the pervasiveness of cognitive computing have had a profound impact on the data sphere—and on data governance.

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.