Analytics & Business Intelligence
Deodorizing Your Data
If there are quality problems with your data, there are ways to clean it up — but it’s often more efficient to refactor your processes to prevent “smelly” data.
If there are quality problems with your data, there are ways to clean it up — but it’s often more efficient to refactor your processes to prevent “smelly” data.
An animated infographic illustrates the key stats from MIT SMR’s 2015 data and analytics report.
Here’s what it takes to lead a high-performing data science team in which team members (and their managers) are excited by what their teammates can do.
The process of managing a data science research effort can seem quite messy, in contrast to data’s aura of reason.
With the explosion of new technologies comes a new universe of data — and Epsilon is helping businesses navigate it.
As businesses become increasingly data-focused, it’s important to recognize that data is only as good as the analysis it’s put through.
Intermountain Healthcare uses data and analytics to improve its health services, including lowering its infection rates.
Huge, complex datasets are becoming universal. The skills needed to work with them? Not so much.
Chicago nonprofit Christopher House uses data to drive outcomes in providing education services to low-income families.
Airline Cathay Pacific incorporates data into all its operations to make decision making more efficient. But experience counts, too.
American health care is undergoing a data-driven transformation — and Utah’s Intermountain Healthcare is leading the way.
By skillfully managing the human side of its analytics strategy, Intermountain Healthcare empowers doctors and other users to make data-driven process changes that improve business results and patient outcomes.
A panel of experts discusses how to attract and manage analytics talent for best results.
We answer three questions about the findings in our recent Big Idea Initiative research report, “The Talent Dividend.”
Coca-Cola uses forward-looking analytics to understand its customer base and international distribution network.
What do you do when you’ve got an unending stream of quality data, and processes in place for analytics… but you’re not sure what to do with it all?
Increased access to data can be turned into better decision making by focusing on both the production and consumption of analytics.
Advanced digital technologies are swiftly changing the kinds of skills that jobs require.
Companies that are experienced in using analytics successfully offer five lessons for corporate leaders.
As business moves to a real-time, data-driven focus, the search for talent has undergone a quantum shift.