The Data and analytics maturity model is a tool to chart a path toward improving overall organizational capability. Organizations typically do not fit neatly into one of the four maturity levels.

Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal is to ensure an organization’s entire body of data ...

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 ...

You would think that with the towering importance of data in today's modern organization that data modeling would be viewed as extremely important by management and IT professionals, so it is somewhat ...

Figure 1: Centralized model for data & analytics management. In practice, however, there’s a few big problems with this approach. First, the data has to be so carefully curated and loaded, ...

The perception that data modeling is solely an engineering function has become outdated with self-service, modern BI platforms. People across the organization are already modeling data. Now it’s ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

Question 3: Is your data ready? Your organization’s data is the most important asset to evaluate before training your own LLM. Those companies that have accumulated high-quality data over time ...

The Centers for Medicare and Medicaid Services (CMS) developed the Accountable Care Organization (ACO) Investment Model (AIM) to encourage the growth of Medicare Shared Savings Program (MSSP) ACOs ...