Analytics & Business Intelligence
The Problem With Big Data
We’re in the midst of a big data revolution, but not all companies are flourishing in this new era.
We’re in the midst of a big data revolution, but not all companies are flourishing in this new era.
A look at 1990s hockey defender Larry Murphy holds lessons for team building.
Sports analytics shows that the best performance enhancer is sleep.
Getting business value from AI means separating myths from facts.
Why do losing teams often out-perform winners at the box office?
Would NBA teams make fewer draft mistakes if they measured basketball IQ?
Successful migration patterns can improve business strategy in your company.
Before your next large-scale product launch, try leveraging uncertainty for competitive advantage.
Companies need to think about how they can become a customer destination.
Early adopters of artificial intelligence will divvy up a global profit pool valued at $1 trillion.
Competing against state-subsidized competitors in global markets requires a new set of tactics.
Companies seeking tech alliances to stay competitive may benefit from an adaptive ecosystem model.
Companies that rigidly adhere to traditional approaches to goal setting may be driving their business in the wrong direction.
For many leaders, the allure of best practices is strong and their expectations for results are unrealistic.
MIT SMR’s 2018 Data & Analytics Report finds a link between customer engagement and data analytics.
MIT SMR hosts a Twitter chat on analytics and customer service on March 1, 2018, at 11 a.m. EST #MITSMRChat.
A new survey reports companies are now seeing a direct correlation between big data and AI success.
A major economic shift is happening — from the experience economy to the coherence economy.
The impact of artificial intelligence on the future of work and organizations was a popular topic.
Companies often compete as members of networks, making collaboration essential for getting work done.