Explore ebooks, documentos técnicos, seminarios web y más, relacionados con la gestión de datos.
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White Paper
The SAS Data Governance Framework: A Blueprint for SuccessThis white paper explains how to build a comprehensive data governance framework that encompasses all parts of the data management infrastructure.
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White Paper
Making Sense of Hadoop and its EcosystemAn Investigation into the Evolution and Deployment of Hadoop
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HISTORIA DE CLIENTE
Knowing the who, informs the whatThe New Zealand Ministry of Health established the Virtual Data Registry to more accurately identify diabetes sufferers and citizens likely to contract diabetes. They'll use the database to inform policy and spending decisions that will ensure better care for those patients.
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Artículo
GDPR and AI: Friends, foes or something in between?The GDPR may not be best buddies with artificial intelligence – but GDPR and AI aren't enemies, either. Kalliopi Spyridaki explains the tricky relationship between the two.
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Artículo
Big data integration: Go beyond 'just add data'Every business-focused technology requires users to "just add data." This article by Matt Magne explores why that's not as easy as it sounds, especially in a big data age.
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Artículo
What big data has brought to the privacy discussionHow does big data impact your privacy? There are ways to balance privacy and security in an increasingly transparent and dangerous world.
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Artículo
Soccer versus baseball: which is the best analogy for data governance?Is data governance more like baseball, featuring individual effort, or like soccer, where a team approach wins? Carol Newcomb evaluates the best sports analogy for data governance.
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White Paper
The General Data Protection Regulation: What It Means and How SAS® Data Management Can HelpFind out how the GDPR could affect your business and how SAS Data Management solutions can help you prepare.
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Artículo
Unlocking a strategic approach to data and AIAI is only as good as the data that powers it – this is a fundamental truth about data and AI that defines the limits of what’s possible with artificial intelligence. It may seem surprising, but it's rarely a bad algorithm or a bad learning model that causes AI failures. It's not the math or the science. More often, it's the quality of the data being used to answer the question.
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White Paper
Governments adapting to changeTop tips for shifting to an enterprise analytics strategy.
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HISTORIA DE CLIENTE
Combating financial crime and terrorism financing with real-time sanctions screeningOrange Bank stays ahead of emerging risks and changing regulations with a cloud-based sanctions-screening solution from SAS and Neterium.
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White Paper
Data Management for Artificial IntelligenceWhen machines learn from exposure to data, the truism of “garbage in, garbage out” for data is truer than ever. Now is the time for executives, particularly the chief data officer, to establish the data management strategy, technology and best practices to ensure success with machine learning.
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Entrevista
The scoop on HadoopCloudera co-founder Mike Olson talks trends, changes and outlines the formula for success with Hadoop.
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White Paper
A Non-Geek’s Big Data PlaybookThis paper examines how a non-geek yet technically savvy business professional can understand how to use Hadoop - and how it will impact enterprise data environments for years to come. The paper serves as a playbook that demonstrates six common “plays” that illustrate how Apache Hadoop can support and extend the enterprise data warehouse (EDW) ecosystem.
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REPORTE DEL ANALISTA
SAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality SolutionsSAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
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Artículo
Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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Artículo
¿Qué es un Data Lake y por qué es importante?Un Data Lake es un repositorio de almacenamiento que contiene grandes cantidades de datos en bruto en su formato nativo. Como contenedores de múltiples colecciones de datos en una ubicación conveniente, los Data Lakes permiten el acceso, la exploración y la visualización en modo autoservicio. Así, las empresas pueden ver y acceder a la nueva información más rápidamente.
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White Paper
Data is KingLearn about the benefits of building an analytical data warehouse based on an insurance-specific data model so insurance companies can gain the most out of their investment in business analytics.
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E-book
Government navigating an uncertain worldHow governments can harness data,
advanced analytics, and trustworthy AI to
prepare for the unexpected—and respond
faster to protect and improve citizens’ lives.
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Artículo
Data integration: It ain't what it used to beOnce limited in scope, data integration now supports analytics and data-driven operational processes like real-time insurance claims processing and IoT apps.
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Artículo
8 ways an enterprise data strategy enables big data analyticsAnalyzing big data can reveal new insights and strengthen business decisions. Here's why you need an enterprise data strategy to help you get there.
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REPORTE DEL ANALISTA
SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024
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E-book
On the Road to Accelerating Claims AutomationMore than ever, insurance companies need to provide customers with seamless interactions that save them time, minimize hassle, and make them feel seen, understood, and cared for. Many are also exploring the use of AI for claims prevention – for example, by creating new risk mitigation services. All of this requires investment in digital technologies that work together to enable intuitive, Amazon-like customer experiences. This ebook explores how insurers can make the leap to digitally transformed, intelligent claims processes that customers love and increase operational efficiency and reduce costs.
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E-book
Data Management: What You Need to Know and WhyExplores the essential building blocks of data management, including master data management, data governance, data quality, data integration and data federation.
