By 2025, smart workflows and seamless interactions among humans and machines will likely be as standard as the corporate balance sheet, and most employees will use data to optimize nearly every aspect of their work.

Every company must establish its own best practices for managing its data. Here are five pitfalls to avoid based on our conversations with experts and early adopters.

Creating reusable data products and patterns for piecing together data technologies enables companies to derive value from data today and tomorrow.

Pfizer’s Chief Digital and Technology Officer explains how digital is transforming her organization’s ability to bring new medicines to patients at speed and at scale.

When evaluating operational processes, human observation goes only so far. New data and analytics technologies can yield insights that are much more objective—and powerful.

Rapidly accelerating technology advances, the recognized value of data, and increasing data literacy are changing what it means to be “data driven.”

How B2B sales pioneers empower their sellers and drive sustained growth with data and analytics.

ver the course of the pandemic, businesses have largely—and often successfully—adapted to new ways of working. They’ve also embraced digitization and reorganized their supply chains.

Companies capturing lasting value from artificial intelligence think differently, from the C-suite to the front line. Here’s how to make the shift from opportunistic efforts to a truly AI-enabled organization.

The “data” part of the terms “data lake,” “data warehouse,” and “database” is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a data warehouse, a data lake, or an old-fashioned database? It all depends on how that data is going to be used.