Data Modeling Best Practices for Data-Driven Organizations

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 […]

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. But it provides even greater value for modern enterprises where critical data exists in both structured and unstructured […]

For regulatory compliance (e.g., GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in … While most companies hold […]

The General Data Protection Regulation (GDPR) made its first real impact as Google’s record GDPR fine dominated news cycles. Historically, fines had peaked at six figures with the U.K.’s Information Commissioner’s Office (ICO) fines of 500,000 pounds ($650,000 USD) against both Facebook and Equifax for their data protection breaches. Experts predicted an uptick in GDPR […]

A unified approach to data modeling and data mapping could be the breakthrough that many data-driven organizations need. In most of the conversations I have with clients, they express the need for a viable solution to model their data, as well as the ability to capture and document the metadata within their environments. Data modeling […]

  In modern, data-driven busienss, it’s integral that organizations understand the reasons for bad data and how best to address them. Data has revolutionized how organizations operate, from customer relationships to strategic decision-making and everything in between. And with more emphasis on automation and artificial intelligence, the need for data/digital trust also has risen. Even […]

A data governance initiative will maximize the security, quality and value of data, all of which build customer trust. Without data, modern business would cease to function. Data helps guide decisions about products and services, makes it easier to identify customers, and serves as the foundation for everything businesses do today. The problem for many organizations […]

Data governance (DG) is one of the fastest growing disciplines, yet when it comes to defining data governance many organizations struggle. Dataversity says DG is “the practices and processes which help to ensure the formal management of data assets within an organization.” These practices and processes can vary, depending on an organization’s needs. Therefore, when […]