Analytics & Business Intelligence

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

Recommendation engines promise to revolutionize how customers buy and employees work.

Companies can use data and collaborative scenario plans to enhance supply chain responsiveness.

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

The fashion retailer’s chief data and analytics officer uses agile pilots to assess and scale technology initiatives.

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

Walmart’s Prakhar Mehrotra discusses leading AI teams and workstreams in this episode of the Me, Myself, and AI podcast.

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.

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.

To drive major change, companies must link data quality and data science within the organization.

A Q&A with AWS’s Rahul Pathak on the advantages of transitioning your company to a data-driven enterprise.

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

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

By better integrating human and device intelligence, we can foster collective intelligence.

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

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