Data Modeling

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...

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...

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....

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...

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...

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...

Practical steps to collect, connect and share your enterprise data for better business outcomes. Effective data and enterprise architecture management is about enabling smarter business decisions; providing management access to the right information, in the right format, at the right time. In this white paper, you’ll discover how to: Adopt a business-outcome approach to enterprise architecture....

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. Download The...

Companies such as Airbnb, Amazon, Netflix and Uber have realized the value of data, harnessing it to create new business models, redefine and disrupt entire markets, and change the way customers think and therefore behave. Known as data-driven enterprises, these organizations have transformed everything – how they make decisions, invent new products or services, and improve processes to add to both their top and bottom lines.

The digital world is moving faster than ever before, so the enterprise needs to keep pace by becoming data-driven. That means using Big Data – much of it unstructured – to effectively respond to customers, partners, suppliers and other parties in real time – and profit from those efforts. If you’re considering the transition from traditional relational databases to NoSQL – or if you’re already using the technology – then this e-book is for you!