Analytics & Business Intelligence
Sports Analytics: The NFL Connects with Fans
The NFL’s CIO discusses the organization’s customer-focused approach to big data and analytics.
How are organizations leveraging data and analytics to increase operational efficiency, engage key stakeholders, and report on business successes? From 2010-2018, the Data and Analytics initiative investigated how technology enables competitiveness.
MIT SMR’s research employs global qualitative and quantitative methods to investigate how data is influencing business processes, offerings, and engagement with customers. It looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.
The NFL’s CIO discusses the organization’s customer-focused approach to big data and analytics.
As sensors and computer-mediated transactions become universal, Google’s Hal Varian warns that organizations need to prepare for a flood of data.
If you think analytics is just about the math, you’re telling yourself the wrong story.
Stories of your competitors’ analytics prowess are probably overblown — so take steps to move forward now.
Companies are having a tough time finding the data scientists they need — but that doesn’t mean those projects need to halt altogether.
A company that wants to successfully use analytics needs to make sure its data scientists are fully integrated into business units.
Kaiser’s John Mattison describes the data-driven healthcare system of the future — and says companies need to get in gear to meet its challenges now.
Declaring that a project everyone is excited about is in trouble can be demoralizing. But it’s exactly what can turn things around.
Hot shots get all the attention, but other team members can be the ones who make a group really tick.
It’s never a good idea to assume your dataset is capturing all the information you need to make good decisions — but there are ways to mitigate uncertainty.
With millions of data points and an amazing array of analysts, Amadeus turns air travel into an exercise in data science.
NC State’s Institute for Advanced Analytics is the first business analytics program in the country — and way ahead of its time.
When using analytics becomes a routine practice, four key changes will follow.
Companies seeking to use analytics for predictive decision making commonly make these four errors.
The impulse to collect and store all data on the off chance it might be useful is counterproductive.
Big data is far from a fad in modern business — it’s a method of managing information that’s here for the long haul.
Kaiser Permanente is crafting health care’s future with help from its Innovation and Advanced Technology group.
WellPoint’s efforts to change health care billing highlights the need for an effective innovation process.
State Street gives itself a data and analytics makeover to meet the challenges of a changing industry.
The 2014 Data & Analytics Report by MIT Sloan Management Review and SAS finds that an analytics culture offers better outcomes.