Ideas and insights about analytics from MIT Sloan experts.
The business case for a chief data officer
Why It Matters
The right CDO can help firms reap the benefits of data-informed decision-making. Here’s what your data chief should do for your organization.Learn More
Survey details data officers’ priorities, challenges
Chief data officers are focused on data governance and creating a data-driven culture, according to a new survey report written by Tom Davenport.
Download: Innovative data and analytics practices
From MIT Sloan, how to apply the tools of modern data science, optimization, and machine learning to solve real-world business problems.
Data literacy for leaders
Here’s how executives and senior managers can become effective and savvy champions of the data produced by their organizations.
What is synthetic data — and how can it help you?
Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.
Try this data framework for analytics advantage
A framework based on data, models, decisions, and value can help you leverage analytics for better business outcomes.
How to build an effective analytics practice
From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
In-demand data and analytics skills to hire for now
Hiring managers from Netflix, Pfizer, Comcast, and more discuss essential technical skills, soft skills, and finding the elusive “super unicorn” data scientist.
Data processing boom in investing favors large firms over small
New research shows that investors are most interested in processing data about large, high-growth firms over smaller companies, even those with high-growth prospects.
Employees more likely to second-guess interpretable algorithms
New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.
MIT Sloan research on AI and machine learning
An AI productivity boom is coming. Here’s what managers need to know to roll out intelligent technology that’s ethical and worker-centric.