Once again, we are pleased to announce that CMS, the Centers for Medicare and Medicaid Services, has chosen Opera Solutions for a three-year, $28 million contract that will enable Opera Solutions to provide the operational analytics that drive the Health Insurance Marketplaces of the Affordable Care Act. In this role, Opera Solutions will continue to build on the strong foundation it has built in the first three years of this relationship, adding more advanced analytics and ensuring data integrity across the widespread, diverse data environment within CMS.
Is now the right time to add machine-learning analytics into your charge-capture management system?
ICD-10 is here and chances are, as a provider, you’re as ready for it as you can be, knowing there could be some hiccups and impact on revenues. Most predict that the impact will be confined to inpatient revenues, driven by significant adjustment issues in grouper methodologies. But what if the impact extends well beyond that, to outpatient revenues?
Travel season is upon us, and what used to create excitement and anticipation now creates dread and anxiety. Flying is certainly not what it used to be, but thankfully, it’s also getting a little bit better, thanks to data science and advanced analytics. The world’s largest airlines generate and consume huge amounts of data on hundreds of millions of passengers, and that data is finally paying off for travelers. Of course, not all airlines use data the same way, and some of them hardly use it at all. But here, we take an inside look at those that do to give you the three best ways advanced analytics are improving the travel experience for over 200 million passengers.
Topics: Signal Hub Technologies
2015 could be the year that true personalization finally takes hold, but to achieve it, you’ll need to change the way you think about marketing.
Customers expect to be treated as individuals. They require relevancy and prefer having a relationship with a company that keeps track of their preferences, purchases, and correspondence. Customers are ready for personalized marketing, and now, finally, more and more companies are, too.
Since retail clinics started gaining popularity in 2007, healthcare professionals have been worried — for all sorts of reasons. Will patients still get the care they need? Will they visit their doctors less? How will these clinics impact patient volume in nearby emergency departments?
The Frost & Sullivan Customer Value Leadership Award is presented each year to the company that has demonstrated excellence in implementing strategies that proactively create value for customers. It recognizes the company’s inordinate focus on enhancing the value that its customers receive, beyond simply good customer service, leading to improved customer retention and ultimately customer base expansion. Frost & Sullivan does not accept solicitations or applications for this award, instead basing its decisions on extensive private market research and confidential interviews with end users. Opera Solutions is proud to be the recipient of the 2013 Customer Value Leadership Award for Global Big Data Analytics.
Forbes’ contributor Christopher Versace recently talked with Opera Solutions CEO Arnab Gupta about how Big Data is perceived in business today — and where it’s going in the future.
You may not be paying much attention to data science, but it’s paying attention to you — and will deliver personalized search results in due time.
For those of us who prefer to stay on the shopping side of recommender engines, how online retailers seem to know which hotels we’ll book, what flights we’ll take, or what brand of pots and pans we’ll buy next is simply math, or for those of us with a little more knowledge, algorithms. For most everyone else, it pretty much falls under something more akin to science so advanced it might as well be magic. Of course, for the machine learning data scientists who create these recommender engines, all engines are different, complex — and definitely not magic.
To predict the next shooting — in time to do something about it — we need to be looking at more open source data.
In the aftermath of yet another mass shooting in the United States, we find ourselves asking the same questions we’ve asked before: Why did this happen? Were there signs we missed? Could we have prevented this? And while there’s never a satisfying answer as to why, we can usually say that yes, there were signs — and they were missed — and yes, we most likely could have prevented this. Which leads us to the next question: how?
It’s easy for money to slip through your fingers on business trips. Here are six ways to get it back.
Anyone who’s ever entertained a client or taken a business trip knows how fast that expense report can add up. But administrators and category spend managers are left wondering, where did that money go exactly? And how do we go about cutting back? The answer, of course, is in the data. And (of course), it’s complicated. But complicated is what Big Data solutions do best.