
Analytics & Business Intelligence
Short on Analytics Talent? Seven Tips to Help Your Company Thrive
Companies are having a tough time finding the data scientists they need — but that doesn’t mean those projects need to halt altogether.
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.
To create real business value, top management must learn how to manage data scientists effectively.
New research suggests data science, predictive analytics and big data will transform supply chains.
Big Data tests corporate patience, but breakthroughs on big questions are emerging.
What can companies do to help fill their data scientist gap? That was the topic at a conference hosted by the MIT Center for Digital Business.
An Interview with Anthony Goldbloom, CEO of Kaggle.
Data-savvy organizations are using analytics to innovate — and to gain competitive advantage.
Keeping track of data and creating value from it may require more than technology.
Behavioral analytics, Bayesian engineering and big data help companies mitigate business risk.
How do the insights from big data differ from what managers generate from traditional analytics?
The rapid growth of data creates business opportunities — but only if IT and management work together.
A new wave of analytics-driven companies is making Massachusetts one of the hottest U.S. centers of big data.
Companies experienced in analytics use are increasingly gaining competitive advantage.
We should aim not for faster information but faster decision making — not the same things.