I recently spoke with a healthcare CIO to explore his perspective on the challenges of managing reference data. The points he raised reminded me of a similar conversation almost two years ago, although the two conversations had very different origins. I think the convergence of thinking stems from
Brett King, CEO/Founder of Moven, author of Bank 3.0, host of “Breaking Banks” podcast radio show on Voice America, and recipient of the Innovator of the Year award from American Banker magazine, joined us to talk about “smarter digital banking and big data.”
For more information about the IBM big
Since big data is still relatively new technology, many of you are conducting research and seeking quality educational resources. That's apparent in this list of the 10 most popular analyst reports, ebooks and white papers. We are proud to offer such an extensive library - more than 40 items - from
This past weekend, as the United States of America celebrated its 237th birthday, I bonded with some of my closest companions – family, friends, music, assorted drinks, and junk food for most of the weekend. Though, one unwelcome friend was the massive heat wave that blanketed most of the US.
Co-authored by Kim Minor, Worldwide Industry Marketing Manager for Insurance at IBM.
Claims fraud is an important topic, so we’ve written about it several times before. In this blog, I want to discuss how IBM big data capabilities can augment an existing fraud system at any insurer. By wrapping
The top 10 blogs from the first half of 2013 show you are interested in learning how to get started with big data – especially if you’re in the banking industry – and looking at just what it is that gives a data scientist that elusive star power. It’s also clear that good blog posts have long legs
I was curious if there were any updated stats on the number of healthcare organizations that are currently using analytics as part of their strategy to improve health outcomes, prevent disease and engage patients more effectively. I ran across a 2012 study from CHIME and eHealth Initiative that
How CSPs are Transforming Call Centers to Lower Churn, Costs and Stress
The day in the life of a call center agent can be very stressful, especially when information needed to solve the customer problem is not accurate, not up-to-date, not consolidated and not immediately available. Slow service
Healthcare organizations are leveraging the IBM Big Data & Analytics platform to capture all of the information about a patient to get a more complete view for insight into care coordination and outcomes-based reimbursement models, population health management, and patient engagement and
Managing reference data in a healthcare system or a payer organization is not easy. While trying to wrap my head around this vexing requirement, I pondered how many coding systems I’ve learned in my health information management career.
Despite still being 39 (I celebrate the anniversary of my
After a successful promotion, a consumer products company minimizes OOS and maximizes sales
In April, I introduced a video demonstration called Optimizing Consumer Product Promotions Effectiveness with Analytics. In this demo we met Mary, the marketing brand manager for DuraBar, a nutritional bar
This first posting of a seven-part blog series is my attempt to present, in small, easily consumable bites, findings from IBM Institute for Business Value and University of Oxford’s study and excerpts from a white paper, “Analytics: the real world use of big data in financial services.”
I’ve been trying to delve into a topic I normally avoid—clinical trials. But it’s not about how clinical trials are run, or how to design one. I’m more interested in what happens to clinical trials data once they are completed.
Do folks actually mine their clinical trial archive for insights?
Part 2 of a 3 part series: Envisioning the Strategic Value of IBM Smarter Analytics Suite for Communication Service Providers
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In my last blog entry, I wrote about emerging technologies in the IT domain. Today, I’ll be sharing specifically what IT concerns
Analytics solutions designed to handle the volume and variety of data available today also help insurance companies improve catastrophe risk modeling, through which companies determine the exposure of current policies and predict the probable maximum loss (PML) from a catastrophic event.