David Menninger's Analyst Perspectives
MAY 14, 2025
Data governance has always been a critical part of the data and analytics landscape. However, for many years, it was seen as a preventive function to limit access to data and ensure compliance with security and data privacy requirements. Data governance is integral to an overall data intelligence strategy.
O'Reilly on Data
MARCH 18, 2020
The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. Data governance isn’t yet a priority. There’s a lot to bite into here, so let’s get started.
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erwin
SEPTEMBER 3, 2020
Why should you integrate data governance (DG) and enterprise architecture (EA)? Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change.
CIO Business Intelligence
NOVEMBER 27, 2024
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
CIO Business Intelligence
DECEMBER 5, 2024
In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise.
O'Reilly on Data
FEBRUARY 4, 2019
Our survey showed that companies are beginning to build some of the foundational pieces needed to sustain ML and AI within their organizations: Solutions, including those for data governance, data lineage management, data integration and ETL, need to integrate with existing big data technologies used within companies.
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Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.
Speaker: Aaron Kalb, Co-Founder and CDAO at Alation
Throughout history, however, technology has sparked cultural change, and today, data intelligence technology, like data catalog software, is helping enterprises develop data cultures. What ingredients are needed to create a data culture, including data search & discovery, data literacy, and data governance.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.
Speaker: Aaron Kalb, Co-Founder and CDAO at Alation
Throughout history, however, technology has sparked cultural change, and today, data intelligence technology, like data catalog software, is helping enterprises develop data cultures. What ingredients are needed to create a data culture, including data search & discovery, data literacy, and data governance.
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