Analytics Strategy

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

There has been a huge demand for data scientists in the past decade. Is that about to change?

The true underperformers in this digital disruption era are not measures but their managers.

Five essential management practices illustrated through the lens of sports analytics.

Organizations need algorithmic smarts to excel in the future of work.

A recent study connects the fear of disruption with technology investment at large companies.

Brands must focus on what their customers have in common — not what makes them different.

KPIs measuring customer satisfaction and/or customer loyalty aren’t good enough anymore.

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.

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

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

Getting business value from data depends on developing effective analytics teams — leaders included.

Large amounts of data don’t inherently remove sampling bias; in fact, they may make it worse.

The synergism of Big Data and artificial intelligence holds amazing promise for business.

Answering still more questions from our recent webinar, “Analytics as a Source of Business Innovation.”

We answer more questions from our recent webinar, “Analytics as a Source of Business Innovation.”

The 2017 Data & Analytics Report by MIT Sloan Management Review finds that companies that embraced analytics have begun to find new ways to derive strategic benefit from analytics.

IoT early adopters are reaping rewards in more timely, accurate, detailed, and reliable data.

Providing up-front structure for data may reduce the need to process it — and limit distortions.