Over the past decade, firms have taken the plunge to become data driven. They have amassed data, invested in technologies, and paid handsomely for analytical talent. Yet for many, a strong, data ...

Getting access to the right data in the right amounts remains a major obstacle for a range of digital endeavors, from developing AI models to testing software applications. If you find yourself short ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are ...

Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Using data-centric principles to create a sustainable business model As a second example, look to manufacturing and specifically at plant and equipment efficiency.

Designing a data model that supports the reporting and analytical functions is no different, initially, than any other modeling effort. Understanding the data is crucial. The data architect or modeler ...

Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.

To avoid the trap of creating self-fulfilling prophecies, here’s the process you should follow for applying AI to small data problems.