My recent work has focused heavily on migration, especially onto the SAS Viya platform and cloud more generally. Rather unexpectedly during this process, we have found that data observability is becoming increasingly important to customers. They start simply by looking at tracing files, but soon find that it has a
Tag: data governance
Building a data and analytics culture in higher education means equipping key stakeholders with the skills necessary to analyze and leverage insights extracted from data. Doing so can drive faster, more accurate decision-making. When I hear “data and analytics culture,” I immediately think of the work Jason Simon and his team
Higher education institutions are some of the most data-rich entities in the world. Postsecondary leaders need high-quality, consistent and accurate insights to make the best decisions for their institution, students and constituents. Data governance is a topic that may seem technical in nature and perhaps important to only the IT
Government procurement teams are responsible for managing billions of pounds of public expenditure, and taxpayers want more transparency on how their money is being spent. However, experts estimate that procurement errors, waste and abuse can cost central government up to 4.7% of procurement spend. And when government procurement fraud scandals hit
New and more prescriptive privacy and other data-related regulations are elevating data governance to a strategic asset for organizations in all sectors. Data governance can no longer remain confined to a back-end IT operation. As the data-rich financial services sector is now moving fast towards more profound digitization of financial
Identification of Concepts and Topics based on out-of-the-box rules. It is common practice to develop a business or industry specific taxonomy.
El gobierno de los modelos analíticos es una función cada vez más estratégica para las empresas. Para analizar su importancia hemos llevado a cabo un evento digital junto al Club Chief Data Officer (CDO) Spain & Latam. Aprovechando la ocasión entrevistamos a Silvina Arce, Co-Founder del Club Chief Data Officer
Data management has never been the shiny object that caught the imagination of the mainstream. And let’s be honest, it's not nearly as interesting as analytics, machine learning or artificial intelligence. In fact, entire movies get created about analytics, and people actually pay to see them! Data management? Not so
A business glossary improves data quality – one of the top five ways it makes analytics better.
David Loshin reminds us that data protection compliance applies to different individuals in different contexts – and not just GDPR and CCPA.
What's the impact of using data governance and analytics for the business side of education? It's an interesting question, and during a video interview, Dale Pietrzak, Ed.D.,Former Director of Institutional Effectiveness and Accreditation (IEA) at the University of Idaho shared details on the results they're realizing from using SAS for
Learn why Jason Simon from UNT calls data governance critical.
Learn about the role data classification plays when governing a diversity of data policies.
Expect to lose time if you don't include a data steward in your project until you're reviewing the data model.
David Loshin examines various aspects of data governance that are essential for regulatory compliance.
Encouraging data sharing can sometimes feel like refereeing kids on Christmas morning. “Mom said you have to SHARE!” my sister bawled, grabbing at the Game Boy in my hand as I held the toy just out of her reach. I had just gotten it as a Christmas present and had
Dass IFRS 9 spürbare Herausforderungen im Hinblick auf die Implementierung bringen würde, war von Anfang an klar. Neben den technischen Hürden haben sich Banken schon in einem sehr frühen Stadium den strengen Prüfungen durch Regulatoren, Investoren und Rating-Agenturen, Aufsichtsräten sowie externen und internen Prüfern stellen müssen. Doch verantwortungsbewusste und weitsichtige
Data management gets lost in the enthusiasm around Artificial intelligence (AI) and machine learning (ML). Not surprising, when it's an algorithm that decides what search results to show you, guides the self-driving cars on the roads, and powers the anti-fraud bots that monitor every credit card transaction we make. Charles
Reconsider conventional assumptions about data governance – three suggestions for chief data officers.
Focus on data governance, quality and storage if you want to do data management for analytics right.