Data Strategy

A new MIT SMR Executive Guide offers managers and decision makers new insights, research, and strategies for leading a data-driven culture.

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

Companies can use an array of tactics to make sure that their data products inspire action — and create value.

Companies need to evolve and shift thinking around what it means to have a data-driven culture.

Companies today are swimming in data — but how do we build a data strategy that creates value?

Developing AI-enabled business models, managing corporate social responsibility, and growing digital ecosystems.

Companies and leaders must strive to build business models using three key components for growth.

A Q&A with AWS’s Michelle K. Lee on the challenges and advantages of adopting machine learning.

Insights for developing and executing AI strategy at the leadership, organization, and talent levels.

A pharmaceutical giant enlists a consultant to help create an industry-leading global compliance system.

MIT Sloan’s Ben Shields says business can compete better using pro sports’ approach to data analytics.

Ask these four questions to determine whether your AI system is really an AI solution.

IBM’s Mark Foster discusses what makes digital transformations succeed — and why it takes humanity.

Six risks that business leaders can begin to strategize around now.

No matter how compelling it seems, data alone won’t win people over unless infused with a story.

Digital transformation empowers smarter KPIs.

To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.

Automation can go far beyond cars. Self-driving company capabilities are closer than we realize.

AI can help you choose, measure, and prioritize the KPIs informing your strategy.

How CIOs and analytics executives can work together to build cultures that trust data-driven investigation and insights.