Modern Data Modeling: The Foundation of Enterprise Data Management and Data Governance

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. After all, you can’t manage or govern what you can’t see, much less use it to make smart decisions. Metadata management is the key to managing and governing your data and drawing intelligence from it. Beyond […]

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In this post: What Is Data Architecture? The Difference Between Data Architecture and Enterprise Architecture The Value of Data Architecture Data Architecture and Data Modeling The Imperative for […]

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. But the real challenges will be accelerating recovery and crisis-proofing your business to mitigate the impact […]

In these challenging times, many of our customers are focused on disaster recovery and business contingency planning. Disaster recovery is not just an event but an entire process defined as identifying, preventing and restoring a loss of technology involving a high-availability, high-value asset in which services and data are in serious jeopardy. Technical teams charged […]

There are three different types of data models: conceptual, logical and physical, and each has a specific purpose. Conceptual Data Models: High-level, static business structures and concepts Logical Data Models: Entity types, data attributes and relationships between entities Physical Data Models: The internal schema database design An organization’s approach to data modeling will be influenced […]

As data-driven business becomes increasingly prominent, an understanding of data modeling and data modeling best practices is crucial. This posts outlines just that, and other key questions related to data modeling such as “SQL vs. NoSQL.” What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy […]

Enterprises are trying to manage data chaos. They might have 300 applications, with 50 different databases and a different schema for each one. They also face increasing regulatory pressure because of global data regulations, such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into […]

Happy Halloween! Do you know where your data is? What data you have? Who has had access to it? These can be frightening questions for an organization to answer. Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. In […]

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata, or the data about the data. However, most organizations don’t use all the data they’re flooded with to reach […]

The benefits of Data Vault automation from the more abstract – like improving data integrity – to the tangible – such as clearly identifiable savings in cost and time. So Seriously … You Should Automate Your Data Vault  By Danny Sandwell Data Vault is a methodology for architecting and managing data warehouses in complex data […]