Data Management

The authors describe three key challenges leaders face in communicating pandemic data and how to address them.

Revolutionary recommendation engines, data access as a leadership priority, and the essentials of successful corporate social justice efforts.

Transforming a company into a truly data-driven business involves fundamental organizational changes.

MIT SMR’s winter issue looks at why teams work (or don’t), plus innovation, supply chains, and data for AI.

Data accessibility must be managed from the start of AI projects in order to be implemented in production.

Leaders must focus on quality, build organizational capabilities, and put data to work in new ways.

Top chief data officers share insights on how leaders and organizations can ensure data success.

Companies need to identify the type of talent they need in order to become data-driven.

To better align data teams with business operations, a new organizational structure is needed.

The 2020 Culture Champions, adept crisis response, and how social media reveals our mental health.

In an era of constant change, data and analytics teams must change rapidly to enable businesses to survive, never mind compete.

Three strategies lead to technology transformations that create value and enable ongoing innovation.

Why words matter in crucial conversations, alarming U.S. job trends, and how to make data meaningful.

Executed well, good data governance can fuel digital innovation without compromising security.

Without visual annotations, charts and graphs are missed opportunities to feed your audience insights from your data.

Data-driven culture, ethics and compliance standards for pandemic aid, and effective global operations.

The resilient, knowledge-based economy; a COVID-19 data disaster; smart buildings; and democratized AI.

The U.S. needs professional management and leadership of its health data supply chain.

Accelerating strategy breakthroughs, transforming the supply chain, and contextualizing office space.

Digitalization can’t deliver agility or reliability unless you first determine data access, quality, and lineage.