Infographics are all the rage today. Open any magazine or newspaper and we see data and numbers everywhere. Often, such information is displayed by adding some graphical information to add context to the data. A couple of good examples are Communicating numeric information, and Facts about Hot Dogs. Riley Benson, our UX
Featuring a computer-savvy kid and Cold War intrigue, the 1980s movie War Games inspired more than one generation of STEM graduates. Sean Dyer is one Gen X’er who credits the movie for sending him on a path to where he is today as a cybersecurity data scientist. As the fog
The role of insurance is to bring some predictability, manageability and stability in what is in essence, a chaotic and uncertain world. So as we head into 2016, what are the big issues for insurers in the next 12 months? Below is just a selection of some of these issues:
It’s obvious that an enterprise data strategy involves data – but we sometimes disregard the fact that it should also involve metadata. Why? Because it’s key to unlocking the value of data. Metadata shows you what data is available and how people can use it. It also reveals which data
Earlier this month I attended my first Forbes Healthcare Summit, where the stated goal for this year was to “figure out how to create the kind of care we know we deserve.” The event offered a unique gathering of pharmaceutical, health care and biotechnology chief executives engaged in frank discussions
Earlier this month I attended my first Forbes Healthcare Summit, where the stated goal for this year was to “figure out how to create the kind of care we know we deserve.” The event offered a unique gathering of pharmaceutical, health care and biotechnology chief executives engaged in frank discussions
Confusion is one of the big challenges companies experience when defining the data governance function – particularly among the technical community. I recently came across a profile on LinkedIn for a senior data governance practitioner at an insurance firm. His profile typified this challenge. He cited his duties as: Responsible for the collection
“Give us 50K in bitcoin or you'll never access any of your data again.” Cybercriminals have many ways to hijack your data, and ransom schemes like the one above are just one trick of many. These “geeks gone wrong” are a real threat to customers and brands, and everyone knows
Data science is hot. You've undoubtedly heard a lot about the field and the role of the data scientist, now it's time to learn more. So, here are the top three reasons to become a data scientist. 1 – For the enjoyment of creating and building new “things” No, data scientists do not
Identity fraud typically conjures thoughts of credit card scams or stolen Social Security numbers. Medical identity fraud is often overlooked, but can be a crime that kills. On the black market your medical identity can be worth as much as $50 per person versus $1 for a Social Security Number.
To prepare for the data challenges of 2015 and beyond, health care fraud, waste and abuse investigative units (government funded and commercial insurance plans, alike) need a data management infrastructure that provides access to data across programs, products and channels. This goes well beyond sorting and filtering small sets of
I feel like I'm singing a song called Data in the Sky – With Options! The cloud is forever in our minds these days as a lower cost option because it requires fewer resources to address our data needs. Cloud solutions are an increasing part of many organizations' budgets every year. Whether enterprise data is
Having a mentor is the number one factor in increasing the steepness of your personal learning curve. So says my oldest, Garik, a Park Scholar at North Carolina State University (class of 2012), during a discussion he recently had with the incoming Park Scholar class of 2019. To accept the
Similar to claims fraud, money laundering is seen as a victimless crime, and often glamorized in movies and books. Think “The Wolf of Wall Street” and “Scarface”. But money laundering is a SERIOUS problem. According to a 2013 report, the United Nations Office on Drugs and Crime estimates that $1.6
Customer intelligence will help an insurance company deepen its customer insights, choreograph its customer interactions and continuously improve its marketing performance. Unfortunately for all the progress made in recent years on customer relationship management and getting to know customers better, insurance companies are still not focusing on customers as much
This guest post was written by Andy Pulkstenis, Director of Advanced Analytics for State Farm Insurance. He leads a team of advanced analytics professionals providing statistical analysis and predictive modeling support for the enterprise across a variety of business units. His background includes more than a decade of experience improving
I moved to Australia from Belgium two months ago for a short-term assignment. I am very concerned by the exchange rate. My dollars have lost over 15% of their value in euros and I share my frustration around me. People tell me, "Just wait, it cannot stay so low, the
It’s rather appropriate that the rock band Europe recorded the hit “The Final Countdown”, because today, September 22nd, represents 100 days until the much anticipated (and delayed) European insurance legislation Solvency II will come into effect on January 1st 2016. Designed to introduce a harmonized, EU-wide insurance regulation, Solvency II
In the UK, technology trends move a little slower than for our US counterparts. It was about 5 years ago when I first met a data leader at a conference on this side of the pond who was actively engaging in large scale big data projects. This wasn’t a presenter
One question I get asked a lot is: What is the most exciting new statistical feature in the 14.1 release? And they get a bit frustrated when I say: It depends. But it does depend! SAS statistical software provides a broad array of capabilities that help users track disease outbreaks,
I realized a little while ago that I may have more loyalty cards and memberships than the average person. (And that I more actively prove my loyalty than the average person). But as anybody who has ever signed up to a mailing list or for a store card knows, having
Big Data has become a technology buzzword. But how is Big Data changing insurance? Historically, insurance companies have used SMALL data to make BIG decisions. Today, insurers are using BIG data for SMALL decisions. What does this mean? Traditionally, insurance companies have aggregated data to group risks into broad categories
While not on the same level of Rush, I do fancy myself a fan of The Who. I'm particularly fond of the band's 1973 epic, Quadrophenia. From the track "5:15": Inside outside, leave me alone Inside outside, nowhere is home Inside outside, where have I been? The inside-outside distinction is rather apropos
“Garbage in, garbage out” is more than a catchphrase – it’s the unfortunate reality in many analytics initiatives. For most analytical applications, the biggest problem lies not in the predictive modeling, but in gathering and preparing data for analysis. When the analytics seems to be underperforming, the problem almost invariably
I enjoy watching TV crime series like Law and Order, Crime Series Investigation (CSI), CriminalMinds, Numb3rs, Person of Interest, as well as real-life mystery stories on shows like 20/20 and others. Obviously, the popularity of these types of shows means I'm not the only one who enjoys this type of entertainment. Here at SAS,
Oh, how times have changed during my 20-plus years in the insurance industry. Data wasn’t a word we used much back in the 80s and 90s, unless of course you worked in those arcane and mysterious IT data centres. Even amidst the computerisation of the insurance industry in the 80s, many
Oh, how times have changed during my 20-plus years in the insurance industry. Data wasn’t a word we used much back in the 80s and 90s, unless of course you worked in those arcane and mysterious IT data centres. Even amidst the computerisation of the insurance industry in the 80s, many
SAS recently held the Detroit Automotive Analytics Executive Forum to bring together leaders from the Industry. We heard from an experienced group of leaders on the future of the automotive industry, best practices for analytics success, innovative retail analytics, customer experience analytics, the connected vehicle, and competing on analytics. Following
Good news...an analytics survey last year found that 72% of insurance executive agreed that analytics is the biggest game-changer in the next 2 years. Bad news...compared to other industries the adoption rates of analytics in the insurance has lagged other industries. To reverse this trend and help insurers travel down the
One of the most important skills for data scientists and business analytical professionals is communications. If decision makers and managers don't understand what the numbers mean -- results won't turn into action. Jeff Zeanah, President of Z Solutions, Inc. has been presenting on the topic of speaking “analytics” for many
