Quality data is accurate, complete, consistent, and relevant to the risk factors you're assessing. In risk modelling, quality data might include up-to-date credit scores, income information ...

If you're wondering whether data modeling is still relevant in today's fast-paced, data-driven world, this white paper is for you. You'll discover how data modeling can help you overcome challenges ...

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

Unlock data’s potential by bridging insights and innovation: incorporating data modelling and analytics in business practices.

Data analysts can help build accessible data models by defining business needs, working with IT and data scientists, and testing results.

NoSQL databases are designed to store different types of data like Key Value, Documents, Time Series, Graph & IoT. Pascal Desmarets talks about how to do data modeling when using NoSQL databases.

Data modelling and predictive modeling help footwear companies with demand forecasting, route planning, sustainable decision-making and customer-centric strategies.

Understanding data is a prerequisite to gaining control of any enterprise. But understanding is only useful if that knowledge can be shared and transmitted. Effective data modeling should be a ...

Identify which data modeling tools are right for your business. Discover the top data modeling tools of 2022 now.