In many organizations, IT, data, and security still operate in silos—each with its own tools, KPIs, budgets, and leadership. That structure may have worked in a slower, less connected world...

There’s no question that Artificial Intelligence (AI) holds enormous promise. From automation to advanced analytics, AI enables organizations to solve complex problems, uncover insights, and accelerate decision-making at scale...

As data architecture continues to evolve, two data management concepts have emerged for their innovative approach to managing enterprise...

As more applications are consuming and storing large amounts of data, many organizations find themselves struggling to manage their data...

Data cleaning and data transformation are two important steps in the data preparation process to ensure that data is suitable for analysis..

While it is important to ensure the data quality within the data warehouse, one challenge that has been often encountered in such efforts...

Information systems are complicated enough as they are so it is important that they are designed and presented in a well-thought-out mann...

In recent years, there has been a growing number of organizations that have adopted the data lake structure in managing their growing data..

The vast amounts of data being collected over the years have given rise to a number of problems, particularly the accessibility to such...

Given the amount of data being accumulated by individuals and teams within the organization on a daily basis, there is a great deal of...

There are many terms and technical jargon that is associated with a business’ data structure and policies that not everyone is familiar...

In a previous article, we learned what data governance is about and its importance to the organization insofar as how it approaches data...