Nine analytics experts talk about how predictive analytics are driving innovation for organizations, citing outcomes like more refined measurement for decision making and knowing what the consumer wants, often before they do. Read and watch what they have to say.
Do you have a hard time describing the statistics that underpin analytics? Read the first chapter of Numbers Rule Your World: The Hidden Influence of Probability and Statistics on Everything You Do, by Kaiser Fung, and find out why statistics is about a lot more than averages and what your organization can learn from the Disney World FASTPASS system.
As human resources increases its strategic presence at the executive table of influence, its need for analytical, fact-based approaches is on the rise. Read about how predictive modeling can be applied to managing company health care in this Q&A.
Ever thought about the similarities between cooking and analytics? SAS’ Tonya Balan explains how adventurous cooking techniques are much like innovation in the field of analytics. Mix and match a bit of this and a bit of that, and you have a recipe for novel analytical approaches.
As business analytics becomes more important for CIOs, there are several issues that they have to cope with. Philip Carter, Associate Vice President for IDC’s Asia/Pacific Practice Group, addresses some of them.
Just like everything else, the analytics industry is always changing and will continue to do so. Staying ahead of the curve isn’t easy; but it’s important. In order to do so, analysts will have to deal with these four issues.
Organizations that believe analytics is nothing more than building the perfect algorithm will be disappointed, says Dean Abbott, President of Abbott Analytics. Learning to frame questions and keeping an experimental mindset are critical to success.
“I think that’s what she meant by that…” is a common question of sentiment. This excerpt from the white paper Text Analytics for Social Media, by Jim Sterne, internationally known writer and speaker, gives insight on how systems can help the misinterpretation problem.
Eric Siegel, PhD, Conference Chair for Predictive Analytics World and Text Analytics World, expands on the innovative approaches of using social data, text analytics and net-lift modeling for better predictive models in this video.
What is business analytics and how can it help? Find out what makes business analytics
Can’t start yet, I’m waiting on perfect data
Hit a single before going for the home run
Advice for CIOs: Information is the new oil
Nine management lessons from Terry Leahy, former CEO of Tesco PLC
Recent Comments