Livres Blancs

Les données au coeur de la transformation d’entreprise

Les entreprises comme Airbnb, Amazon, Netflix ou encore Uber ont bien saisi la valeur de la donnée, en s’appuyant sur de nouveaux business models, les marchés disruptifs et les changements de comportement des consommateurs.
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Replacing Legacy System Architect for EA & DM

Dare to Compare your legacy System Architect implementation with erwin CloudCore for integrated Enterprise Architecture and Data Modeling. Don’t be afraid to jump ship – changing tools is easier than you might think. Download this PDF guide to learn more about switching to a modern, collaborative and cloud-based Enterprise Architecture and Data Modeling tool that’s designed for today’s digital business requirements. Télécharger...
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Architecture d’entreprise et modélisation des données

Bonnes pratiques pour recueillir, relier et partager les données de votre entreprise pour de meilleurs résultats opérationnels. Une gestion efficace des données et de l’architecture se traduit par des décisions business éclairées. Il s’agit de délivrer la bonne information, au bon format et au bon moment. Dans ce livre blanc, vous découvrirez comment : Adopter...
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Data Governance and Data Modeling

Governing Data Definition The art and science of data modeling has delivered value in support of a wide range of data management initiatives over the past 4 decades. Beginning with the foundation of delivering a faster and more rigorous capability to design and deploy database schema, the data modeling practice has grown to support organizations involved...
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The Business Value of Data Modeling for Data Governance

Data governance works best when it’s strongly aligned with the drivers, motivations, and goals of the business. But given that data can be a technical discipline, it’s often difficult to find a way to translate the technical data environment into an easy-to-understand format that uses business terminology. Whether you are a businessperson looking to understand...
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Operationalizing Data Governance with Living Metadata

With any metadata project, it is critical to recognize that as the business transforms, the data and metadata must continually be updated and reviewed to ensure it continues to be useful. In this white paper we explore best practices in maintaining a “living” metadata management platform. We also cover the key factors in ensuring timeliness and utility...
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Enterprise Data Architecture and Data Governance: Use Metadata to Get to the Starting Gate

Instituting data governance within the organization will help ensure compliance with business policies, as well as reduce risks. But how does one get started with data governance? In this white paper we explore some challenges in bootstrapping a data governance program and consider key methods for using metadata to establish the starting point for data governance....
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The Role of Metadata in a Data Governance Strategy

As the interest in managing information and enforcing corporate data management policies increases, data governance programs to manage data sets are becoming more and more vital to the business operation. However, in this rush for data governance programs, sometimes the true utility and importance of metadata can be missed. In this white paper, David Loshin...
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The Importance of Governing Data: The Role of Data Governance and Data Modeling In Enterprise Data

Developing an enterprise data model is a good first step toward instituting a data governance program and can provide the business with a detailed, yet holistic view of its most valuable asset—its data. Sadly, though, many companies often fail to take this step, undermining their data governance efforts from the get-go. This white paper covers...
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