Enterprise data is more complex, diverse and vital than ever. The only problem? The way we store and manage data has remained, by and large, the same. The prevailing data management strategy is to ...

Data transformation is at the core of every digital business transformation. With most companies, the complexity and importance of data are often underestimated, leading to project delays and unmet ...

Drug developers need to understand and anticipate the actions of regulatory agencies such as the FDA and EMA to develop drugs efficiently and effectively. To achieve this, they have traditionally used ...

Traditional grantmaking, whereby individual groups or people apply for pools of funding through a linear, all-or-nothing process, is inefficient, wasteful, and opaque to applicants and other outsiders ...

Today’s data-driven marketing reality is practically unrecognizable compared to the industry landscape of just five years ago. The number of marketplace shifts that have happened in that seemingly ...

A connected intelligence system requires a modern data approach, especially across three competencies. Image: Blue Planet Studio/Adobe Stock. AI adoption is a given ...

The current global situation has highlighted the importance of digitalization for organizations of every kind—from businesses to hospitals and schools. But data-driven organizations must be able to ...

Data migration involves a lot of moving parts. This guide outlines 6 different data migration approaches and the best use cases for each of them. Organizations often need to develop tailored data ...