Analytics & Business Intelligence

Executive transparency better positions organizations for growth.

Join the co-authors of “Using Analytics to Improve Customer Engagement” and special guest Teddy Bekele as they show how analytical innovators are gathering and sharing data to build loyalty and keep customers.

Sports analytics leaders are now using data to understand fans as well as they know their players.

Part 1 of our eight-part video series explores how integrated digital technologies can transform business.

In this webinar, David Harcourt of Yum! Brands Inc. shares his research and experimentation with HR analytics.

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.

Data audits may be helpful in maintaining balance between data-rich and data-poor companies.

A new survey reports companies are now seeing a direct correlation between big data and AI success.

Organizations that make use of data from a variety of sources excel at customer engagement, as explained in the 2018 Data & Analytics Report.

An infographic based on the 2018 Data & Analytics Report by MIT Sloan Management Review illustrates how companies can better engage with customers using analytics.

The key lessons learned by Sprint, Bayer and Tapestry in implementing data-driven strategies.

Given the growing importance of data to companies, how should managers measure its value?

Pete Maulik and Joey Bergstein discuss three fundamental truths for building an effective future-focused growth strategy.

The cost of bad data is an astonishing 15% to 25% of revenue for most companies.

Innovative strategies depend more on novel, well-reasoned theories than on well-crunched numbers.

A webinar on how a documented data and analytics strategy can serve as a blueprint to guide marketers and decision makers in their daily roles.

Business leaders need to prioritize effective, two-way communication with their data scientists.

Integrating new technologies with legacy systems is both a problem and an opportunity.

Artificial intelligence helps doctors make better diagnoses. It can do the same for corporate leaders.